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 {
     "name": "DASL",
     "categories": [
         {
             "name": "Medicine",
             "subcategories": [
                 {
                     "datasets": [
                         {
                             "description": "A group of female college students took a test that measured their verbal IQs and also underwent an MRI scan to measure the size of their brains (in 1000s of pixels).",
                             "url": "https://dasl.datadescription.com/download/data/3084",
                             "filename": "Brain-size",
                             "name": "Brain size",
                             "use_first_row_for_vectorname": true
                         },
                         {
                             "description": "An experiment was performed to see whether sensory deprivation over an extended period of time has any effect on the alpha-wave patterns produced by the brain. To determine this, 20 subjects, inmates in a Canadian prison, were randomly split into two groups. Members of one group were placed in solitary confinement. Those in the other other group were allowed to remain in their own cells. Seven days later, alpha-wave frequencies were measured for all subjects.",
                             "url": "https://dasl.datadescription.com/download/data/3085",
                             "filename": "Brain-waves",
                             "name": "Brain waves",
                             "use_first_row_for_vectorname": true
                         },
                         {
                             "description": "A study examined brain size (measured as pixels counted in a digitized magnetic resonance image [MRI] of a cross section of the brain) and IQ (4 performance scales of the Wechsler IQ test) for college students. The data give the Performance IQ scores and Brain Size.",
                             "url": "https://dasl.datadescription.com/download/data/3301",
                             "filename": "IQ-Brain",
                             "name": "IQ Brain",
                             "use_first_row_for_vectorname": true
                         }
                     ],
                     "name": "Neurology"
                 },
                 {
                     "datasets": [
                         {
                             "description": "The Framingham Heart Study is one of the longest running health studies. It has followed original subjects, their children, and their grand children, looking for factors that affect cardiac health.\nThese data only include\nsubjects whose cholesterol was measured in the first exam.\nSource: \"Statistical Methods in Epidemiology\" by H.A.Kahn and C.T.Sempos\nSBP: Systolic blood pressure at first exam\nDBP: Diastolic blood pressure at first exam\nCHOL: Serum choloesterol at first exam\nFRW : Framingham relative weight; a standardized measure of weight adjusted for sex and height\nCIG: Number of cigarettes smoked/day at first exam\nDEATH: First biannual exam missed due to death; 0=\"alive at tenth biannual exam.\" (This exam was given in the 18th year of the study.)\nCAUSE: 0=aliv e at exam 10, 1=Coronary Heart Disease (sudden), 2=CHD (not sudden), 3=Stroke,4=Other cardiovascular disease, 5=cancer, 6=other.",
                             "url": "https://dasl.datadescription.com/download/data/3217",
                             "filename": "Framingham",
                             "name": "Framingham",
                             "use_first_row_for_vectorname": true
                         },
                         {
                             "description": "number of days spent in hospital by patients admitted to hospitals in New York during one year with a primary diagnosis of acute myocardial infarction (heart attack). Data are from public medicare records. Consider the distribution of stays. The data also include the age and sex of the patient and the diagnostic (DRG) code.",
                             "url": "https://dasl.datadescription.com/download/data/3263",
                             "filename": "Heart-attack-charges",
                             "name": "Heart attack charges",
                             "use_first_row_for_vectorname": true
                         },
                         {
                             "description": "Number of days spent in hospital by female patients admitted to hospitals in New York during one year with a primary diagnosis of acute myocardial infarction (heart attack). Data are from public medicare records. Consider the distribution of stays. The data also include the age of the patient.",
                             "url": "https://dasl.datadescription.com/download/data/3264",
                             "filename": "Heart-attack-stays",
                             "name": "Heart attack stays",
                             "use_first_row_for_vectorname": true
                         },
                         {
                             "description": "A medical researcher measured the pulse rates (beats per minute) of a sample of randomly selected adults.",
                             "url": "https://dasl.datadescription.com/download/data/3413",
                             "filename": "Pulse-rates",
                             "name": "Pulse rates",
                             "use_first_row_for_vectorname": true
                         }
                     ],
                     "name": "Cardiology"
                 },
                 {
                     "datasets": [
                         {
                             "description": "Does blood pressure, on average, change with age. The data here are two categorical variables: Blood pressure categorized as High, Normal, Low, and Age categorized as under 30, 30-49, and over 50.",
                             "url": "https://dasl.datadescription.com/download/data/3077",
                             "filename": "Blood-Pressure",
                             "name": "Blood Pressure",
                             "use_first_row_for_vectorname": true
                         },
                         {
                             "description": "Thirteen overweight women volunteered for a study to determine whether eating specially prepared crackers before a meal could help them lose weight. The subjects were randomly assigned to eat crackers with different types of fiber (bran fiber, gum fiber, both, and a control cracker) and cycled through several of the cracker alternatives. Unfortunately, some of the women developed uncomfortable bloating and upset stomachs. Researchers suspected that some of the crackers might be at fault. The study was paid for by the manufacturers of the gum fiber, who hoped this would be a new diet tool. What would you recommend to them about the prospects for marketing their new diet cracker?",
                             "url": "https://dasl.datadescription.com/download/data/3163",
                             "filename": "Diet",
                             "name": "Diet",
                             "use_first_row_for_vectorname": true
                         },
                         {
                             "description": "Medical researchers followed 6272 Swedish men for 30 years to see whether there\nwas any association between the amount of fish in their diet and prostate cancer. The original study actually used pairs of twins, which enabled the researchers to discern that the risk of cancer for those who never ate fish actually was substantially greater.",
                             "url": "https://dasl.datadescription.com/download/data/3207",
                             "filename": "Fish-diet",
                             "name": "Fish diet",
                             "use_first_row_for_vectorname": true
                         },
                         {
                             "description": "A student decided to investigate just how effective washing with soap is in eliminating bacteria. To do this she tested four different methods - washing with water only, washing with regular soap, washing with antibacterial soap (ABS), and spraying hands with antibacterial spray (AS) (containing 65% ethanol as an active ingredient). Her experiment consisted of one experimental factor, the washing Method, at four levels.\nShe suspected that the number of bacteria on her hands before washing might vary considerably from day to day. To help even out the effects of those changes, she generated random numbers to determine the order of the four treatments. Each morning, she washed her hands according to the treatment randomly chosen. Then she placed her right hand on a sterile media plate designed to encourage bacteria growth. She incubated each plate for 2 days at 36°C, after which she counted the bacteria colonies. She replicated this procedure 8 times for each of the four treatments.",
                             "url": "https://dasl.datadescription.com/download/data/3254",
                             "filename": "Hand-washing",
                             "name": "Hand washing",
                             "use_first_row_for_vectorname": true
                         },
                         {
                             "description": "The heights and weights of students in a statistics class were recorded.",
                             "url": "https://dasl.datadescription.com/download/data/3265",
                             "filename": "Heights-weights",
                             "name": "Heights and weights",
                             "use_first_row_for_vectorname": true
                         },
                         {
                             "description": "Canadian researcher John Coates took saliva samples in\nthe morning, twice a day for eight days, from 17 men working on a London\nmid-size trading floor (trading a wide range of assets, with largest exposure to\nGerman interest rate futures), in June 2005, and classified each trader according\nto whether his testosterone level was high or low on that day (compared\nwith the trader's median over the period). High testosterone days differed from\ntrader to trader, and high days differed from low days on average by 25% in\ntestosterone level. He also recorded the profits or losses (P&L) in pounds sterling\nof each trader during 11 am - 4 pm daily.",
                             "url": "https://dasl.datadescription.com/download/data/3272",
                             "filename": "Hormones",
                             "name": "Hormones",
                             "use_first_row_for_vectorname": true
                         },
                         {
                             "description": "Since the 1960s, the Centers for Disease Control and Prevention's National Center for Health Statistics has been collecting health and nutritional information on people of all ages and backgrounds. The National Health and Nutrition Examination Survey (NHANES) of 2001-2002, measured a wide variety of variables, including body measurements, cardiovascular fitness, blood chemistry, and demographic information on more than 11,000 individuals.\nThe file holds data on the weights of 80 men between 19 and 24 years old of average height (between 5'8'' and 5'10'' tall).",
                             "url": "https://dasl.datadescription.com/download/data/3337",
                             "filename": "Mens-Weights",
                             "name": "Mens Weights",
                             "use_first_row_for_vectorname": true
                         },
                         {
                             "description": "The National Health and Nutrition Examination Survey (NHANES) is a program of studies designed to assess the health and nutritional status of adults and children in the United States. The survey is unique in that it combines interviews and physical examinations.",
                             "url": "https://dasl.datadescription.com/download/data/3365",
                             "filename": "NHANES",
                             "name": "NHANES",
                             "use_first_row_for_vectorname": true
                         },
                         {
                             "description": "Body temperatures of a random sample of 52 healthy adults, reported in degrees Fahrenheit.",
                             "url": "https://dasl.datadescription.com/download/data/3368",
                             "filename": "Normal-temperature",
                             "name": "Normal temperature",
                             "use_first_row_for_vectorname": true
                         },
                         {
                             "description": "Obesity and exercise",
                             "url": "https://dasl.datadescription.com/download/data/3372",
                             "filename": "Obesity-and-exercise",
                             "name": "Obesity and exercise",
                             "use_first_row_for_vectorname": true
                         },
                         {
                             "description": "Story: \nThe Pima Indians of southern Arizona are a unique community. Their ancestors were among the first people to cross over into the Americas some 30,000 years ago. For at least two millennia, they have lived in the Sonoran Desert near the Gila River. Known throughout history as a generous people, they have given of themselves for the past 30 years helping researchers at the National Institutes of Health study certain diseases like diabetes and obe-sity. Young Pima Indians often marry other Pimas, making them an ideal group for genetic researchers to study. Pimas also have an extremely high incidence of diabetes.\nResearchers investigating factors for increased risk of diabetes examined data on 768 adult women of Pima Indian heritage. One possible predictor is the body mass index, BMI, calculated as weight/height2, where weight is measured in kilograms and height in meters. We are interested in the relationship between BMI and the incidence of diabetes.",
                             "url": "https://dasl.datadescription.com/download/data/3394",
                             "filename": "Pima-indians",
                             "name": "Pima indians",
                             "use_first_row_for_vectorname": true
                         },
                         {
                             "description": "Pregnancies",
                             "url": "https://dasl.datadescription.com/download/data/3404",
                             "filename": "Pregnancies",
                             "name": "Pregnancies",
                             "use_first_row_for_vectorname": true
                         },
                         {
                             "description": "The Sleep Foundation (www.sleepfoundation.org) says that adults should get at least 7 hours of sleep each night. A survey of students at a small school in the northeast U.S. asked, among other things, \"How much did you sleep last night?\" The data are the responses.",
                             "url": "https://dasl.datadescription.com/download/data/3453",
                             "filename": "Sleep",
                             "name": "Sleep",
                             "use_first_row_for_vectorname": true
                         }
                     ],
                     "name": "Common"
                 },
                 {
                     "datasets": [
                         {
                             "description": "A pharmaceutical company tested three formulations of a pain relief medicine for migraine headache sufferers. For the experiment, 27 volunteers were selected and 9 were randomly assigned to one of three drug formulations. The subjects were instructed to take the drug during their next migraine headache episode and to report their pain on a scale of 1 = no pain to 10 = extreme pain 30 minutes after taking the drug.",
                             "url": "https://dasl.datadescription.com/download/data/3053",
                             "filename": "Analgesics",
                             "name": "Analgesics",
                             "use_first_row_for_vectorname": true
                         },
                         {
                             "description": "A study compared the effectiveness of several antidepressants by examining the experiments in which they had passed the FDA requirements. Each of those experiments compared the active drug with a placebo, an inert pill given to some of the subjects. In each experiment some patients treated with the placebo had improved, a phenomenon called the placebo effect. Patients’ depression levels were evaluated on the Hamilton Depression Rating Scale, where larger numbers indicate greater improvement. (The Hamilton scale is a widely accepted standard that was used in each of the independently run studies.) It is well-understood that placebos can have a strong therapeutic effect on depression, but separating the placebo effect from the medical effect can be difficult.",
                             "url": "https://dasl.datadescription.com/download/data/3054",
                             "filename": "Antidepressants",
                             "name": "Antidepressants",
                             "use_first_row_for_vectorname": true
                         },
                         {
                             "description": "A student investigated just how effective washing with soap is in eliminating bacteria. To do this she tested four different methods - washing with water only, washing with regular soap, washing with antibacterial soap (ABS), and spraying hands with antibacterial spray (AS) (containing 65% ethanol as an active ingredient). Her experiment consisted of one experimental factor, the washing Method, at four levels. She suspected that the number of bacteria on her hands before washing might vary considerably from day to day. To help even out the effects of those changes, she generated random numbers to determine the order of the four treatments. Each morning, she washed her hands according to the treatment randomly chosen. Then she placed her right hand on a sterile media plate designed to encourage bacteria growth. She incubated each plate for 2 days at 36°C, after which she counted the bacteria colonies. She replicated this procedure 8 times for each of the four treatments.",
                             "url": "https://dasl.datadescription.com/download/data/3561",
                             "filename": "Baterial-soap",
                             "name": "Baterial soap",
                             "use_first_row_for_vectorname": true
                         },
                         {
                             "description": "Measurements of 250 men of various ages. The percent of a man's body that is fat is a matter of concern for health and fitness. But the %bodyfat is difficult and expensive to measure accurately. These data offer correct %bodyfat measurements along with a variety of easier to find measures. Can you build a model to predict the %bodyfat from other, more easily made, measurements?",
                             "url": "https://dasl.datadescription.com/download/data/30790",
                             "filename": "Bodyfat",
                             "name": "Bodyfat",
                             "use_first_row_for_vectorname": true
                         },
                         {
                             "description": "Burger King publishes full nutrition information on its menu. These data are for the foods on the menu recently. (Visit the site listed as the reference for the most current list.)",
                             "url": "https://dasl.datadescription.com/download/data/3089",
                             "filename": "Burger-King-items",
                             "name": "Burger King items",
                             "use_first_row_for_vectorname": true
                         },
                         {
                             "description": "Nutritionists are concerned that people have a good breakfast. But what does that mean? Students collected nutrition information from the nutrition labels of cereals in one supermarket.",
                             "url": "https://dasl.datadescription.com/download/data/3107",
                             "filename": "Cereals",
                             "name": "Cereals",
                             "use_first_row_for_vectorname": true
                         },
                         {
                             "description": "Researchers at the University of Denver Infant Study Center wondered whether temperature might influence the age at which babies learn to crawl. Perhaps the extra clothing that babies wear in cold weather would restrict movement and delay the age at which they started crawling. Data were collected on 208 boys and 206 girls. Parents reported the month of the baby's birth and the age (in weeks) at which their child first crawled. The table gives the average Temperature (°F) when the babies were 6 months old and average Crawling Age (in weeks) for each month of the year.",
                             "url": "https://dasl.datadescription.com/download/data/3143",
                             "filename": "Crawling",
                             "name": "Crawling",
                             "use_first_row_for_vectorname": true
                         },
                         {
                             "description": "Life expectancy at birth, TV's per capita, and doctor's per capita for countries of the world. Doctors predict life expectancy, but is that causal? TVs also predict life expectancy.",
                             "url": "https://dasl.datadescription.com/download/data/3169",
                             "filename": "life-expectancy",
                             "name": "Doctors and life expectancy",
                             "use_first_row_for_vectorname": true
                         },
                         {
                             "description": "Fertility (births/woman) and Female life expectancy for 219 countries of the world. (Data is available on both variables for only 200). How is life expectancy related to fertility? Are there any outliers and, if so, what do they indicate?",
                             "url": "https://dasl.datadescription.com/download/data/3202",
                             "filename": "Fertility-and-life-expectancy-2014",
                             "name": "Fertility and life expectancy 2014",
                             "use_first_row_for_vectorname": true
                         },
                         {
                             "description": "Gossett says in his seminal 1908 paper: \"Before I had succeeded in solving my problem analytically, I had endeavoured to do so empirically. The material used was a correlation table containing the height and left middle finger measurements of 3000 criminals, from a paper by W. R. MacDonell (Biometrika, Vol. I., p. 219).\" His method was to write the 3000 finger length values on cards, shuffle them thoroughly, and the deal out 750 hands of 4 cards. For each hand he then calculated (with a mechanical calculator) the mean and standard deviation. (Note; He divided by n (= 4) and not by n-1 (= 3).) He then found values of ybar - the population mean (which he knew because he had the population; it is 11.5474) and divided each by the standard deviation. The resulting values formed the distribution which he then correctly described.\nThe finger measurements were originally given in mm and the heights in feet and inches. They have been converted to cm (at https://stat.ethz.ch/R-manual/R-devel/library/datasets/html/crimtab.html). The midpoint of intervals are used where MacDonnel gives a range of values.",
                             "url": "https://dasl.datadescription.com/download/data/3204",
                             "filename": "Fingers-and-Heights",
                             "name": "Fingers and Heights",
                             "use_first_row_for_vectorname": true
                         },
                         {
                             "description": "Is it true that students\ntend to gain weight during their first year in college? Cornell Professor of Nutrition David Levitsky recruited students from two large sections\nof an introductory health course. Although they were\nvolunteers, they appeared to match the rest of the freshman\nclass in terms of demographic variables such as sex\nand ethnicity. The students were weighed during the first\nweek of the semester, then again 12 weeks later. Based\non Professor Levitsky's data, estimate the mean weight\ngain in first-semester freshmen and comment on the\n\"freshman 15\". (Weights are in pounds.)",
                             "url": "https://dasl.datadescription.com/download/data/3218",
                             "filename": "Freshman-15",
                             "name": "Freshman 15",
                             "use_first_row_for_vectorname": true
                         },
                         {
                             "description": "For humans, pregnancy lasts about 280 days. In other species of animals, the length of time from conception to birth varies. Is there any evidence that the gestation period is related to the animal's life span? The data give Gestation Period (in days) and Life Expectancy (in years) for 18 species of mammals.",
                             "url": "https://dasl.datadescription.com/download/data/3241",
                             "filename": "Gestation",
                             "name": "Gestation",
                             "use_first_row_for_vectorname": true
                         },
                         {
                             "description": "Physical therapists measure a patient's manual dexterity with a simple task. The patient\npicks up small cylinders from a 4 * 4 frame with one hand, flips them over (still with one\nhand), and replaces them in the frame. The task is timed for all 16 cylinders. The tool was originally normed for adults. In a follow-up study, researchers\nused this tool to study how dexterity improves with age in children and establish norms against which to compare a patient's dexterity.",
                             "url": "https://dasl.datadescription.com/download/data/3253",
                             "filename": "Hand-dexterity",
                             "name": "Hand dexterity",
                             "use_first_row_for_vectorname": true
                         },
                         {
                             "description": "Fitting someone for a hearing aid requires assessing the patient's hearing ability. In one method of assessment, the patient listens to a tape of 50 English words. The tape is played at low volume, and the patient is asked to repeat the words. The patient's hearing ability score is the number of words perceived correctly. Four tapes of equivalent difficulty are available so that each ear can be tested with more than one hearing aid. These lists were created to be equally difficult to perceive in silence, but hearing aids must work in the presence of background noise. Researchers had 24 subjects with normal hearing compare two of the tapes when a background noise was present, with the order of the tapes randomized. Is it reasonable to assume that the two lists are still equivalent for purposes of the hearing test when there is background noise? Base your decision on a confidence interval for the mean difference in the number of words people might misunderstand.",
                             "url": "https://dasl.datadescription.com/download/data/3261",
                             "filename": "Hearing",
                             "name": "Hearing",
                             "use_first_row_for_vectorname": true
                         },
                         {
                             "description": "Fitting someone for a hearing aid requires assessing the patient's hearing ability. In one method of assessment, the patient listens to a tape of 50 English words. The tape is played at low volume, and the patient is asked to repeat the words. The patient's hearing ability score is the number of words perceived correctly. Four tapes of equivalent difficulty are available so that each ear can be tested with more than one hearing aid. These lists were created to be equally difficult to perceive in silence, but hearing aids must work in the presence of background noise. Researchers had 24 subjects with normal hearing compare two of the tapes when a background noise was present, with the order of the tapes randomized. Is it reasonable to assume that the two lists are still equivalent for purposes of the hearing test when there is background noise? Base your decision on a confidence interval for the mean difference in the number of words people might misunderstand.",
                             "url": "https://dasl.datadescription.com/download/data/3262",
                             "filename": "Hearing-4-lists",
                             "name": "Hearing 4 lists",
                             "use_first_row_for_vectorname": true
                         },
                         {
                             "description": "The data hold measurements on people of various ages. The main variable of interest is the level of insulin-like growth factor (ig\u0192) (J. Clin. Endocrinol. Metab. 78(3): 744-752, March 1994). Each row in the data set corresponds to one individual. See also Igf13, which concentrates on children.",
                             "url": "https://dasl.datadescription.com/download/data/3562",
                             "filename": "Igf",
                             "name": "Igf",
                             "use_first_row_for_vectorname": true
                         },
                         {
                             "description": "Measurements on children under 13 years of age. Most of the data was collected from physical examinations in schools. The main variable of interest is the level of insulin-like growth factor (ig\u0192) (J. Clin. Endocrinol. Metab. 78(3): 744-752, March 1994). Each row in the data set corresponds to one individual. See also the dataset Igf, which includes adults.",
                             "url": "https://dasl.datadescription.com/download/data/3563",
                             "filename": "Igf13",
                             "name": "Igf13",
                             "use_first_row_for_vectorname": true
                         },
                         {
                             "description": "Homer's Iliad is an epic poem, compiled around 800 BCE, that describes several weeks of the last year of the 10-year siege of Troy (Ilion) by the Achaeans. The story centers on the rage of the great warrior Achilles. But it includes many details of injuries and outcomes, and is thus the oldest record of Greek medicine. The data report 146 recorded injuries for which both injury site and outcome are provided in the Illiad. Are some kinds of injuries more lethal than others?",
                             "url": "https://dasl.datadescription.com/download/data/3281",
                             "filename": "Illiad-Injuries",
                             "name": "Illiad Injuries",
                             "use_first_row_for_vectorname": true
                         },
                         {
                             "description": "In 1974, the Bellevue-Stratford Hotel in Philadelphia was the scene of an outbreak of\nwhat later became known as legionnaires' disease. The cause of the disease was finally discovered to be bacteria that thrived in the air-conditioning units of the hotel.\nOwners of the Rip Van Winkle Motel, hearing about the Bellevue-Stratford, replace their air-conditioning system. The data are the bacteria counts in the air of eight rooms, before and after a new air-conditioning system was installed (measured in colonies per cubic foot of air). Has the new system has succeeded in lowering the bacterial count?",
                             "url": "https://dasl.datadescription.com/download/data/3310",
                             "filename": "Legionnaires-disease",
                             "name": "Legionnaires disease",
                             "use_first_row_for_vectorname": true
                         },
                         {
                             "description": "In 2015 the Council of Europe published a report entitled The European School Survey Project on Alcohol and Other Drugs (www.espad.org). Among other issues, the survey investigated the percent-ages of 16-year-olds who had used marijuana. The data are the results for 38 European countries.",
                             "url": "https://dasl.datadescription.com/download/data/3326",
                             "filename": "Marijuana-2015",
                             "name": "Marijuana 2015",
                             "use_first_row_for_vectorname": true
                         },
                         {
                             "description": "Researchers in Food Science studied how big people's mouths tend to be. They measured mouth volume by pouring water into the mouths of subjects who lay on their backs. Unless this is your idea of a good time, it would be helpful to have a model to estimate mouth volume more simply. Fortunately, mouth volume is related to height. (Mouth volume is measured in cubic centimeters and height in meters.)",
                             "url": "https://dasl.datadescription.com/download/data/3345",
                             "filename": "Mouth-volume",
                             "name": "Mouth volume",
                             "use_first_row_for_vectorname": true
                         },
                         {
                             "description": "A hospital in Nashville is considering changes to the prenatal care they offer. They collected the gestation times of 70 pregnancies that ended in live births. The established human gestation time is 266 days.",
                             "url": "https://dasl.datadescription.com/download/data/3359",
                             "filename": "Nashville",
                             "name": "Nashville",
                             "use_first_row_for_vectorname": true
                         },
                         {
                             "description": "Neck size",
                             "url": "https://dasl.datadescription.com/download/data/3360",
                             "filename": "Neck-size",
                             "name": "Neck size",
                             "use_first_row_for_vectorname": true
                         },
                         {
                             "description": "Paralyzed veterans",
                             "url": "https://dasl.datadescription.com/download/data/3388",
                             "filename": "Paralyzed-veterans",
                             "name": "Paralyzed veterans",
                             "use_first_row_for_vectorname": true
                         },
                         {
                             "description": "The Paralyzed Veterans of America (PVA) is a Congressionally chartered veterans' service organization that represents the interests of paralyzed veterans. The agency provides a range of services to veterans who have spinal cord injury or dysfunction. It derives most of its funding from contributions. The data set PVA contains a sample of the data on donors who recently gave money to the organization.",
                             "url": "https://dasl.datadescription.com/download/data/3415",
                             "filename": "PVA",
                             "name": "PVA",
                             "use_first_row_for_vectorname": true
                         },
                         {
                             "description": "People with spinal cord injuries may lose function in some, but not all, of their muscles. The ability to push oneself up is particularly important for shifting position when seated and for transferring into and out of wheelchairs. Surgeons compared two operations to restore the ability to push up in children.",
                             "url": "https://dasl.datadescription.com/download/data/3479",
                             "filename": "Tendon-transf",
                             "name": "Tendon transfers",
                             "use_first_row_for_vectorname": true
                         }
                     ],
                     "name": "Other"
                 },
                 {
                     "datasets": [
                         {
                             "description": " In a random sample of U.S. adults surveyed in December 2011, Pew Research asked how important it is \"to you personally\" to be successful in a high-paying career or profession. Responses are recorded by sex and age.",
                             "url": "https://dasl.datadescription.com/download/data/3071",
                             "filename": "Being-successful",
                             "name": "Being successful",
                             "use_first_row_for_vectorname": true
                         },
                         {
                             "description": "A researcher at Cornell University wanted to know how friendship might affect simple sales such as this. She randomly divided subjects into two groups and gave each group descriptions of items they might want to buy. One group was told to imagine buying from a friend whom they expected to see again. The other group was told to imagine buying from a stranger. The data are the prices offered by the experiment participants.",
                             "url": "https://dasl.datadescription.com/download/data/3090",
                             "filename": "Buy-from-a-friend",
                             "name": "Buy from a friend",
                             "use_first_row_for_vectorname": true
                         },
                         {
                             "description": "The September 1998 issue of the American T\nPsychologist published an article by Kraut et al. that\nreported on an experiment examining \"the social and\npsychological impact of the Internet on 169 people in\n73 households during their first 1 to 2 years online.\" In the\nexperiment, 73 households were offered free Internet access\nfor 1 or 2 years in return for allowing their time and activity\nonline to be tracked. The members of the households who\nparticipated in the study were also given a battery of tests\nat the beginning and again at the end of the study. The\nconclusion of the study made news headlines: Those who\nspent more time online tended to be more depressed at the\nend of the experiment.\nThe news reports about this study clearly concluded that\nusing the Internet causes depression. Is such a conclusion warranted?",
                             "url": "https://dasl.datadescription.com/download/data/3158",
                             "filename": "Depression-and-the-internet",
                             "name": "Depression and the internet",
                             "use_first_row_for_vectorname": true
                         },
                         {
                             "description": "A Harvard psychologist recruited 75 female hotel maids to participate in a study. She randomly selected 41 of them, whom she informed (truthfully) that the work they do satisfies the Surgeon General's recommendations for an active lifestyle, providing examples to show that their work is good exercise. The other 34 were told nothing. Various characteristics, such as weight, body fat, body mass index and blood pressure were recorded at the start of the study and again after four weeks. The researcher was interested in whether the information she provided would result in measurable physical changes. If there is a difference, it might challenge our understanding of the placebo effect because being informed could make a difference.",
                             "url": "https://dasl.datadescription.com/download/data/3273",
                             "filename": "Hotel-maids",
                             "name": "Hotel maids",
                             "use_first_row_for_vectorname": true
                         },
                         {
                             "description": "In an experiment to test ginkgo bloba, subjects were assigned randomly to take ginkgo biloba supplements or a placebo. Their memory was tested to see whether it improved.",
                             "url": "https://dasl.datadescription.com/download/data/3335",
                             "filename": "Memory",
                             "name": "Memory",
                             "use_first_row_for_vectorname": true
                         },
                         {
                             "description": "The New York Times combined survey data (economix.blogs.nytimes.com/2013/\n07/10/working-parents-wanting-fewer-hours/) with data from\nthe U.S. Bureau of Labor Statistics (BLS) (www.bls.gov/news\n.release/archives/famee_04262013.htm) comparing how mothers\nand fathers would like to allocate their time compared with\nwhat they actually do. They asked a sample of parents with\nchildren 18 or under:\n\"If money were no object, and you were free to do whatever\nyou wanted, would you stay at home, would you work full\ntime, or would you work part time?\"\nPercent of respondents to this question choosing each\nalternative are reported in the \"Desire\" columns of the table.\nData in the \"Actual\" column are from the BLS. (Note:\n\"Unemployed\" = unemployed and actively seeking work.)\nThe table reports column percents (which may not add to\n100% due to rounding).",
                             "url": "https://dasl.datadescription.com/download/data/3344",
                             "filename": "Mothers-fathers-aspirations",
                             "name": "Mothers and fathers aspirations",
                             "use_first_row_for_vectorname": true
                         },
                         {
                             "description": "In a study published in the journal Psychological Science, Rauscher, Shaw, and Ky reported that when students were given a spatial reasoning section of a standard IQ test, those who listened to Mozart for 10 minutes improved their scores more than those who simply sat quietly.",
                             "url": "https://dasl.datadescription.com/download/data/3350",
                             "filename": "Mozart",
                             "name": "Mozart",
                             "use_first_row_for_vectorname": true
                         },
                         {
                             "description": "Researchers interviewed participants to find some who reliably fell asleep and awoke on one side and who could remember their dreams. They found 63 participants, of whom 41 were right-side sleepers and 22 slept on their left side. Then they interviewed them about their dreams. Of the 41 right-side sleepers, only 6 reported often having nightmares. But of the 22 left-side sleepers 9 reported nightmares. Is the difference significant?",
                             "url": "https://dasl.datadescription.com/download/data/3366",
                             "filename": "Nightmares",
                             "name": "Nightmares",
                             "use_first_row_for_vectorname": true
                         },
                         {
                             "description": "Stereograms appear to be composed entirely of\nrandom dots. However, they contain separate images that a\nviewer can \"fuse\" into a three-dimensional (3D) image by staring\nat the dots while defocusing the eyes. An experiment was\nperformed to determine whether knowledge of the embedded\nimage affected the time required for subjects to fuse the images.\nOne group of subjects (group NV) received no information or\njust verbal information about the shape of the embedded object.\nA second group (group VV) received both verbal information\nand visual information (specifically, a drawing of the object).\nThe experimenters measured how many seconds it took for the\nsubject to report that he or she saw the 3D image.",
                             "url": "https://dasl.datadescription.com/download/data/3459",
                             "filename": "Stereograms",
                             "name": "Stereograms",
                             "use_first_row_for_vectorname": true
                         }
                     ],
                     "name": "Psychology"
                 },
                 {
                     "datasets": [
                         {
                             "description": "A study examined the health risks of smoking measured the cholesterol levels of people who had smoked for at least 25 years and people of similar ages who had smoked for no more than 5 years and then stopped.",
                             "url": "https://dasl.datadescription.com/download/data/3111",
                             "filename": "Cholesterol-and-smoking",
                             "name": "Cholesterol and smoking",
                             "use_first_row_for_vectorname": true
                         },
                         {
                             "description": "Data on 816 brands of cigarettes. What relationships are there among the nicotine content, tars, and CO? Are any brands unusually high or low in nicotine? Can you account for that?",
                             "url": "https://dasl.datadescription.com/download/data/3113",
                             "filename": "Cigarettes",
                             "name": "Cigarettes",
                             "use_first_row_for_vectorname": true
                         },
                         {
                             "description": "Researchers measured the concentration (nanograms per milliliter) of cotinine in the blood\nof three groups of people: nonsmokers who have not been exposed to smoke, nonsmokers\nwho have been Exposed To Smoke (ETS), and smokers. Cotinine is left in the blood when\nthe body metabolizes nicotine, so its value is a direct measurement of the effect of passive smoke exposure.",
                             "url": "https://dasl.datadescription.com/download/data/3389",
                             "filename": "Passive-smoke",
                             "name": "Passive smoke",
                             "use_first_row_for_vectorname": true
                         },
                         {
                             "description": "The Centers for Disease Control and Prevention\ntrack cigarette smoking in the United States. How has the percentage of people who smoke changed since the danger became clear during the last half of the 20th\ncentury? The data give percentages of smokers among\nmen 18-24 years of age, as estimated by surveys, from 1965\nthrough 2014.",
                             "url": "https://dasl.datadescription.com/download/data/3455",
                             "filename": "Smoking-2014",
                             "name": "Smoking 2014",
                             "use_first_row_for_vectorname": true
                         },
                         {
                             "description": "There has been a steady decline the the percentage of pregnant mothers who smoke. These data document the trend. The run only until 2011, which appears to be the latest date for which the CDC has data.",
                             "url": "https://dasl.datadescription.com/download/data/3456",
                             "filename": "Smoking-and-Pregnancy-2011",
                             "name": "Smoking and Pregnancy 2011",
                             "use_first_row_for_vectorname": true
                         }
                     ],
                     "name": "Smoking"
                 }
             ]
         },
         {
             "name": "Nature",
             "subcategories": [
                 {
                     "datasets": [
                         {
                             "description": "Froliger and Kane measured the pH (a scale on which a value of 7 is neutral and values below 7 are acidic) of water collected from precipitation events in Allegheny County, Pennsylvania between December 20, 1973 and May 23, 1974. Display the distribution of these values and describe with words and numbers what you see.",
                             "url": "https://dasl.datadescription.com/download/data/3041",
                             "filename": "acid-rain",
                             "name": "Acid rain",
                             "use_first_row_for_vectorname": true
                         },
                         {
                             "description": "The data give the average January Temperature (in degrees Fahrenheit) and Latitude (in degrees north of the equator) for 59 U.S. cities. How are they related?",
                             "url": "https://dasl.datadescription.com/download/data/3114",
                             "filename": "City-climate",
                             "name": "City climate",
                             "use_first_row_for_vectorname": true
                         },
                         {
                             "description": "-",
                             "url": "https://dasl.datadescription.com/download/data/3115",
                             "filename": "City-temperatures",
                             "name": "City temperatures",
                             "use_first_row_for_vectorname": true
                         },
                         {
                             "description": "Global temperature from https://www.ncdc.noaa.gov/cag/data-info/global Global temperature anomaly data come from the Global Historical Climatology Network-Monthly (GHCN-M) data set and International Comprehensive Ocean-Atmosphere Data Set (ICOADS), which have data from 1880 to the present. These two datasets are blended into a single product to produce the combined global land and ocean temperature anomalies. The available timeseries of global-scale temperature anomalies are calculated with respect to the 20th century average, while the mapping tool displays global-scale temperature anomalies with respect to the 1981-2010 base period. For more information on these anomalies, please visit Global Surface Temperature Anomalies. CO2 from ftp://aftp.cmdl.noaa.gov/products/trends/co2/co2_annmean_mlo.txt DJIA from https://www.measuringworth.com\n\nScientists claim that changes in the mean global temperature are primarily due to changes in CO2 levels. Both trends are here from 1959 to 2016. For an alternative, the data includes the annual closing price of the Dow Jones Industrial Average. Can it predict global temperature?",
                             "url": "https://dasl.datadescription.com/download/data/3116",
                             "filename": "Climate-change-2016",
                             "name": "Climate change 2016",
                             "use_first_row_for_vectorname": true
                         },
                         {
                             "description": "Hurricane frequencies.",
                             "url": "https://dasl.datadescription.com/download/data/3279",
                             "filename": "Hurricane-frequencies",
                             "name": "Hurricane frequencies",
                             "use_first_row_for_vectorname": true
                         },
                         {
                             "description": "Hurricane history.",
                             "url": "https://dasl.datadescription.com/download/data/3280",
                             "filename": "Hurricane-history",
                             "name": "Hurricane history",
                             "use_first_row_for_vectorname": true
                         },
                         {
                             "description": "The barometric pressure at the center of a hurricane is often used to measure the strength of the hurricane because it can predict the maximum wind speed of the storm. How well is the wind speed predicted by the barometric pressure?",
                             "url": "https://dasl.datadescription.com/download/data/3278",
                             "filename": "Hurricanes-2015",
                             "name": "Hurricanes 2015",
                             "use_first_row_for_vectorname": true
                         },
                         {
                             "description": "The Los Angeles Almanac reports a number of variables about the weather in LA. Among them is the annual rainfall, reported here for 1991-2018. It is worthwhile to look up any outliers.",
                             "url": "https://dasl.datadescription.com/download/data/3555",
                             "filename": "LA-rainfall",
                             "name": "LA rainfall",
                             "use_first_row_for_vectorname": true
                         },
                         {
                             "description": "Is global climate change leading to an increase in the number of major hurricanes? The data gives the number of hurricanes classified as major hurricanes in the Atlantic Ocean each year from 1944 through 2013, as reported by NOAA.",
                             "url": "https://dasl.datadescription.com/download/data/3323",
                             "filename": "Major-hurricane-2013",
                             "name": "Major hurricanes 2013",
                             "use_first_row_for_vectorname": true
                         },
                         {
                             "description": "Tornadoes 2015\nSource: www.nws.noaa.gov/om/hazstats/resources/weather_fatalities.pdf.",
                             "url": "https://dasl.datadescription.com/download/data/3488",
                             "filename": "Tornadoes",
                             "name": "Tornadoes 2015",
                             "use_first_row_for_vectorname": true
                         },
                         {
                             "description": "Tracking hurricanes 2015",
                             "url": "https://dasl.datadescription.com/download/data/3493",
                             "filename": "Tracking-hurricanes-2015",
                             "name": "Tracking hurricanes 2015",
                             "use_first_row_for_vectorname": true
                         },
                         {
                             "description": "The National Hurricane Center (NHC) of the National Oceanic and Atmospheric\nAdministration (NOAA) tries to predict the path each hurricane will take. But hurricanes\ntend to wander around aimlessly and are pushed by fronts and other weather\nphenomena in their area, so they are notoriously difficult to predict. Even relatively small changes in a hurricane's track can make big differences in the damage it causes. The data give the mean error in nautical miles of the NHC's 72-hour predictions of Atlantic hurricanes for 1970-2017. NOAA refers to these errors as the Forecast\nerror or the Prediction error and reports annual results.",
                             "url": "https://dasl.datadescription.com/download/data/3494",
                             "filename": "Tracking-hurricanes-2016",
                             "name": "Tracking hurricanes 2016",
                             "use_first_row_for_vectorname": true
                         },
                         {
                             "description": "Tsunamis 2016",
                             "url": "https://dasl.datadescription.com/download/data/3500",
                             "filename": "Tsunamis-2016",
                             "name": "Tsunamis 2016",
                             "use_first_row_for_vectorname": true
                         },
                         {
                             "description": "http://www.ngdc.noaa.gov/hazard/tsu_db.shtml Extracted Event Validity 3 and 4 Cause Codes 1-5 Event Validity: 4 = definite tsunami 3 = probable tsunami 2 = questionable tsunami 1 = very doubtful tsunami 0 = event that only caused a seiche or disturbance in an inland river -1 = erroneous entry Cause Code: Valid values: 0 to 11 The source of the tsunami: 0 = Unknown 1 = Earthquake 2 = Questionable Earthquake 3 = Earthquake and Landslide 4 = Volcano and Earthquake 5 = Volcano, Earthquake, and Landslide 6 = Volcano 7 = Volcano and Landslide 8 = Landslide 9 = Meteorological 10 = Explosion 11 = Astronomical Tide.",
                             "url": "https://dasl.datadescription.com/download/data/3501",
                             "filename": "Tsunamis-2018",
                             "name": "Tsunamis 2018",
                             "use_first_row_for_vectorname": true
                         },
                         {
                             "description": "Weather forecasts",
                             "url": "https://dasl.datadescription.com/download/data/3519",
                             "filename": "Weather-forecasts",
                             "name": "Weather forecasts",
                             "use_first_row_for_vectorname": true
                         },
                         {
                             "description": "Wind speed",
                             "url": "https://dasl.datadescription.com/download/data/3528",
                             "filename": "Wind-speed",
                             "name": "Wind speed",
                             "use_first_row_for_vectorname": true
                         }
                     ],
                     "name": "Weather"
                 },
                 {
                     "datasets": [
                         {
                             "description": "The annual number of deaths from floods in the United states from 1995 through 2015. Years are not provided, but the data values are in time order.",
                             "url": "https://dasl.datadescription.com/download/data/3211",
                             "filename": "Floods-2015",
                             "name": "Floods 2015",
                             "use_first_row_for_vectorname": true
                         },
                         {
                             "description": "Climate scientists have been observing the extent of sea ice using satellite observations. Many have expressed concern because, since 1980, the extent of sea ice has declined precipitously - possibly due to global climate change. But a multiple regression of Extent on temp and year gives a coefficient for temp that is essentially zero.",
                             "url": "https://dasl.datadescription.com/download/data/3443",
                             "filename": "Sea-ice",
                             "name": "Sea ice",
                             "use_first_row_for_vectorname": true
                         },
                         {
                             "description": "As part of the course work, a class at an upstate\nNY college collects data on streams each year. Students\nrecord a number of biological, chemical, and physical variables,\nincluding the stream name, the substrate of the stream\n(limestone (L), shale (S), or mixed (M)), the pH, the temperature\n(°C), and the BCI, a measure of biological diversity.",
                             "url": "https://dasl.datadescription.com/download/data/3463",
                             "filename": "Streams",
                             "name": "Streams",
                             "use_first_row_for_vectorname": true
                         }
                     ],
                     "name": "Waters"
                 },
                 {
                     "datasets": [
                         {
                             "description": "-",
                             "url": "https://dasl.datadescription.com/download/data/3074",
                             "filename": "Bird-Species-2013",
                             "name": "Bird-Species-2013",
                             "use_first_row_for_vectorname": true
                         },
                         {
                             "description": "The ranges inhabited by the Indian gharial\ncrocodile and the Australian saltwater crocodile overlap in\nBangladesh. Suppose a very large crocodile skeleton is found\nthere, and we wish to determine the species of the animal.\nWildlife scientists have measured the lengths of the heads\nand the complete bodies of several crocs (in centimeters) of\neach species.",
                             "url": "https://dasl.datadescription.com/download/data/3147",
                             "filename": "Crocodile-lengths",
                             "name": "Crocodile lengths",
                             "use_first_row_for_vectorname": true
                         },
                         {
                             "description": "In 2004, a team of researchers published a study of contaminants in farmed salmon. Fish from many sources were analyzed for 14 organic contaminants. The study\nexpressed concerns about the level of contaminants found. One of those was the\ninsecticide mirex, which has been shown to be carcinogenic and is suspected to be\ntoxic to the liver, kidneys, and endocrine system. The dataset holds 153 observed salmon samples and reports concentrations of a number of contaminant.",
                             "url": "https://dasl.datadescription.com/download/data/3199",
                             "filename": "Farmed-salmon",
                             "name": "Farmed salmon",
                             "use_first_row_for_vectorname": true
                         },
                         {
                             "description": "Wildlife researchers monitor many wildlife populations by taking aerial photographs. Can they estimate the weights of alligators accurately from the air? Here are data on the Weight of alligators (in pounds) and their Length (in inches).",
                             "url": "https://dasl.datadescription.com/download/data/3236",
                             "filename": "Gators",
                             "name": "Gators",
                             "use_first_row_for_vectorname": true
                         },
                         {
                             "description": "The Maine lobster fishing industry is carefully controlled and licensed, and facts about it have been recorded for more than a century, so it is an important industry that we can examine in detail. The dataset holds annual data.",
                             "url": "https://dasl.datadescription.com/download/data/3317",
                             "filename": "Lobsters-2016",
                             "name": "Lobsters 2016",
                             "use_first_row_for_vectorname": true
                         },
                         {
                             "description": "Manatees are gentle mammals that live in the waters off the coast of Florida and a few other places. Unfortunately, many are killed each year in collisions with powerboats. Marine biologists warn that the growing number of powerboats registered in Florida threatens the existence of manatees. The data here are the number of manatees killed each year since 1982 and the number of powerboats registered in Florida (in thousands) for those years. Is there a relationship?",
                             "url": "https://dasl.datadescription.com/download/data/3325",
                             "filename": "Manatees-2015",
                             "name": "Manatees 2015",
                             "use_first_row_for_vectorname": true
                         },
                         {
                             "description": "Psychology experiments sometimes involve testing the\nability of rats to navigate mazes. The mazes are classified\naccording to difficulty, as measured by the mean length of\ntime it takes rats to find the food at the end. One researcher\nneeded a maze that will take rats an average of about one minute\nto solve. He tested one maze on several rats, collecting the\ndata provided.",
                             "url": "https://dasl.datadescription.com/download/data/3333",
                             "filename": "Maze",
                             "name": "Maze",
                             "use_first_row_for_vectorname": true
                         },
                         {
                             "description": "Can pleasant smells improve learning? Researchers timed 21 subjects as they tried to complete paper-and-pencil mazes. Each subject attempted a maze both with and without the presence of a floral aroma. Subjects were randomized with respect to whether they did the scented trial first or second. Is there any evidence that the floral scent improved the subjects' ability to complete the mazes?",
                             "url": "https://dasl.datadescription.com/download/data/3334",
                             "filename": "Mazes-smells",
                             "name": "Mazes and smells",
                             "use_first_row_for_vectorname": true
                         },
                         {
                             "description": "Emperor penguins are the most accomplished divers among birds, making routine\ndives of 5-12 minutes, with the longest recorded dive over 27 minutes. These\nbirds can also dive to depths of over 500 meters! Since air-breathing animals like\npenguins must hold their breath while submerged, the duration of any given dive\ndepends on how much oxygen is in the bird's body at the beginning of the dive, how\nquickly that oxygen gets used, and the lowest level of oxygen the bird can tolerate.\nThe rate of oxygen depletion is primarily determined by the penguin's heart rate.\nConsequently, studies of heart rates during dives can help us understand how these\nanimals regulate their oxygen consumption in order to make such impressive dives.The researchers equipped emperor penguins with devices that record their heart rates during\ndives. The dataset reports Dive Heart Rate (beats per minute), the Duration\n(minutes) of dives, and other related variables.",
                             "url": "https://dasl.datadescription.com/download/data/3391",
                             "filename": "Penguins",
                             "name": "Penguins",
                             "use_first_row_for_vectorname": true
                         },
                         {
                             "description": "Salmon",
                             "url": "https://dasl.datadescription.com/download/data/3435",
                             "filename": "Salmon",
                             "name": "Salmon",
                             "use_first_row_for_vectorname": true
                         },
                         {
                             "description": "The number of storks in Oldenburg, Germany, plotted against the population of the town for 7 years in the 1930s. Do storks bring babies?",
                             "url": "https://dasl.datadescription.com/download/data/3462",
                             "filename": "Storks",
                             "name": "Storks",
                             "use_first_row_for_vectorname": true
                         },
                         {
                             "description": "Large herds of wild horses can become a problem on some federal lands in the West. Researchers hoping to improve the management of these herds collected data to see if they could predict the number of foals that would be born based on the size of the current herd.",
                             "url": "https://dasl.datadescription.com/download/data/3524",
                             "filename": "Wild-horses",
                             "name": "Wild horses",
                             "use_first_row_for_vectorname": true
                         }
                     ],
                     "name": "Animals"
                 },
                 {
                     "datasets": [
                         {
                             "description": "A biology student studied the effect of10 different fertilizers on the growth of mung bean sprouts. She sprouts 12 beans in each of 10 different petri dishes, and adds the same amount of fertilizer to each dish. After one week she measures the heights of the 120 sprouts in millimeters.",
                             "url": "https://dasl.datadescription.com/download/data/3203",
                             "filename": "Fertilizers",
                             "name": "Fertilizers",
                             "use_first_row_for_vectorname": true
                         },
                         {
                             "description": "In 1936 Sir Ronald Fisher presented data on irises as the example in a famous statistics paper. Ever since, \"Fisher's Iris data\" have been a feature of statistics texts. Fisher presents 4 measurements of Iris flowers of three species. Can we differentiate the species? If so, how best to do that?",
                             "url": "https://dasl.datadescription.com/download/data/3206",
                             "filename": "Fisher-Irises",
                             "name": "Fisher's Irises",
                             "use_first_row_for_vectorname": true
                         },
                         {
                             "description": "The Hopkins Memorial Forest is a 2500-acre reserve in Massachusetts, New York, and Vermont managed by the Williams College Center for Environmental Studies (CES). As part of its mission, the CES monitors forest resources and conditions over the long term.",
                             "url": "https://dasl.datadescription.com/download/data/3271",
                             "filename": "Hopkins-Forest",
                             "name": "Hopkins Forest",
                             "use_first_row_for_vectorname": true
                         },
                         {
                             "description": "One can determine how old a tree is by counting its rings, but that requires either cutting the tree down or extracting a sample from the tree's core. Can we estimate the tree's age simply from its diameter?A forester measured 27 trees of the same species that had been cut down, and counted the rings to determine the ages of the trees.",
                             "url": "https://dasl.datadescription.com/download/data/3277",
                             "filename": "old-tree",
                             "name": "How old is that Tree",
                             "use_first_row_for_vectorname": true
                         },
                         {
                             "description": "As the number of oranges on a tree increases, the fruit tends to get smaller. The dataset gives numbers of oranges/tree and average weight/orange (in pounds).",
                             "url": "https://dasl.datadescription.com/download/data/3385",
                             "filename": "Oranges",
                             "name": "Oranges",
                             "use_first_row_for_vectorname": true
                         },
                         {
                             "description": "An experiment on mung beans was performed\nto investigate the environmental effects of salinity and\nwater temperature on sprouting. Forty beans were randomly\nallocated to each of 36 petri dishes that were subject\nto one of four levels of Salinity (0, 4, 8, and 12 ppm)\nand one of three Temperatures (32°, 34°, or 36° C). After\n48 hours, the biomass of the sprouts in gm was measured. The percent of beans germinating is also recorded.",
                             "url": "https://dasl.datadescription.com/download/data/3458",
                             "filename": "Sprouts",
                             "name": "Sprouts",
                             "use_first_row_for_vectorname": true
                         },
                         {
                             "description": "Tree growth.",
                             "url": "https://dasl.datadescription.com/download/data/3497",
                             "filename": "Tree-growth",
                             "name": "Tree growth",
                             "use_first_row_for_vectorname": true
                         },
                         {
                             "description": "Vineyards.",
                             "url": "https://dasl.datadescription.com/download/data/3513",
                             "filename": "Vineyards",
                             "name": "Vineyards",
                             "use_first_row_for_vectorname": true
                         }
                     ],
                     "name": "Plants"
                 },
                 {
                     "datasets": [
                         {
                             "description": "Meteor Crater in Arizona was the first recognized impact crater and was identified as such only in the 1920s. With the help of satellite images, more and more craters have been identified; now more than 180 are known. These, of course, are only a small sample of all the impacts the earth has experienced: Only 29% of earth's surface is land, and many craters have been covered or eroded away. Astronomers have recog-nized a roughly 35 million-year cycle in the frequency of cratering, although the cause of this cycle is not fully understood.\nThe data hold information about craters. craters from the most recent 35Ma (million years) may be the more reliable data, and are suitable for analyses relating age and diameter.",
                             "url": "https://dasl.datadescription.com/download/data/3142",
                             "filename": "Craters",
                             "name": "Craters",
                             "use_first_row_for_vectorname": true
                         }
                     ],
                     "name": "Geology"
                 },
                 {
                     "datasets": [
                         {
                             "description": "Carbon footprint.",
                             "url": "https://dasl.datadescription.com/download/data/3094",
                             "filename": "Carbon-footprint",
                             "name": "Carbon footprint",
                             "use_first_row_for_vectorname": true
                         },
                         {
                             "description": "Carbon footprint 2015.",
                             "url": "https://dasl.datadescription.com/download/data/3095",
                             "filename": "Carbon-footprint-2015",
                             "name": "Carbon footprint 2015",
                             "use_first_row_for_vectorname": true
                         },
                         {
                             "description": "Gemstones.",
                             "url": "https://dasl.datadescription.com/download/data/3240",
                             "filename": "Gemstones",
                             "name": "Gemstones",
                             "use_first_row_for_vectorname": true
                         },
                         {
                             "description": "It is a common belief that Yellowstone's most famous geyser erupts once an hour at very predictable intervals. But, in fact, the intervals between eruptions can vary greatly. Can we predict the interval from, for example, the duration of the previous eruption? Are there other patterns in the data worth noting?",
                             "url": "https://dasl.datadescription.com/download/data/3380",
                             "filename": "Old-Faithful",
                             "name": "Old Faithful",
                             "use_first_row_for_vectorname": true
                         },
                         {
                             "description": "Ozone levels (in parts per billion, ppb) were recorded at sites in New Jersey monthly between 1926 and 1971. Here are boxplots of the data for each month (over the 46 years), lined up in order (January = 1).",
                             "url": "https://dasl.datadescription.com/download/data/3386",
                             "filename": "Ozone",
                             "name": "Ozone",
                             "use_first_row_for_vectorname": true
                         },
                         {
                             "description": "The National Interagency Fire Center reports statistics about wildfires. They report data from 1960, but the years 1960-1984 are so different from subsequent years that they can't be analyzed together. These data are for 1985-2015. Is there a pattern over time? What is the relationship between the number of fires and the acres affected? Are fires getting larger or smaller on average?",
                             "url": "https://dasl.datadescription.com/download/data/3523",
                             "filename": "Wildfires-2015",
                             "name": "Wildfires 2015",
                             "use_first_row_for_vectorname": true
                         }
                     ],
                     "name": "Other"
                 }
             ]
         },
         {
             "name": "Statistics",
             "subcategories": [
                 {
                     "datasets": [
                         {
                             "description": "To shorten the time it takes him to make his favorite pizza, a student designed an experiment to test the effect of sugar and milk on the activation times for baking yeast. Specifically, he tested four different recipes and measured how many seconds it took for the same amount of dough to rise to the top of a bowl. He randomized the order of the recipes and replicated each treatment 4 times.",
                             "url": "https://dasl.datadescription.com/download/data/3042",
                             "filename": "activating-baking-yeast",
                             "name": "Activating baking yeast",
                             "use_first_row_for_vectorname": true
                         },
                         {
                             "description": "The American International Group (AIG) was once the 18th largest corporation in the world. By early 2007 AIG had assets of $1 trillion, $110 billion in revenues, 74 million customers and 116,000 employees in 130 countries and jurisdictions. Yet just 18 months later, AIG found itself on the brink of failure and in need of emergency government assistance.Between 2007 and 2009 AIG stock lost more than 99% of its value, hitting $0.35 in early March. Could the crash have been predicted?",
                             "url": "https://dasl.datadescription.com/download/data/3046",
                             "filename": "AIG-daily",
                             "name": "AIG daily",
                             "use_first_row_for_vectorname": true
                         },
                         {
                             "description": "The American International Group (AIG) was once the 18th largest corporation in the world. By early 2007 AIG had assets of $1 trillion, $110 billion in revenues, 74 million customers and 116,000 employees in 130 countries and jurisdictions. Yet just 18 months later, AIG found itself on the brink of failure and in need of emergency government assistance.Between 2007 and 2009 AIG stock lost more than 99% of its value, hitting $0.35 in early March. Could the crash have been predicted?",
                             "url": "https://dasl.datadescription.com/download/data/3047",
                             "filename": "AIG-monthly",
                             "name": "AIG monthly",
                             "use_first_row_for_vectorname": true
                         },
                         {
                             "description": "A sample of model 2011 cars from an online information service colleted to see how fuel efficiency (as highway mpg) relates to the cost (MSRP).",
                             "url": "https://dasl.datadescription.com/download/data/3050",
                             "filename": "All-the-efficiency",
                             "name": "All the efficiency",
                             "use_first_row_for_vectorname": true
                         },
                         {
                             "description": "The price of delicious apples and regular gas are components of the Consumer Price Index. The data give those prices monthly for the year 2006.",
                             "url": "https://dasl.datadescription.com/download/data/3055",
                             "filename": "Apples-and-gas",
                             "name": "Apples and gas",
                             "use_first_row_for_vectorname": true
                         },
                         {
                             "description": "You have decided to invest in a bond fund and plan to limit your choice of funds to Morningstar \"medalist\" funds. But now you must choose between a taxable fund and a municipal bond fund that is at least partially tax-free. Which is better? Here are the % returns for the three-year period leading up to spring of 2013.",
                             "url": "https://dasl.datadescription.com/download/data/3080",
                             "filename": "Bond-funds",
                             "name": "Bond funds",
                             "use_first_row_for_vectorname": true
                         },
                         {
                             "description": "Number of sales people working in a bookstore and sales (in $1000) that day. These are realistic but invented data.",
                             "url": "https://dasl.datadescription.com/download/data/3081",
                             "filename": "Bookstore-sales",
                             "name": "Bookstore sales",
                             "use_first_row_for_vectorname": true
                         },
                         {
                             "description": "In 2015, the website NewGeography.com listed its ranking of the best cities for job growth in the United States. Nonfarm employment is also provided.",
                             "url": "https://dasl.datadescription.com/download/data/3082",
                             "filename": "Boomtowns-2015",
                             "name": "Boomtowns 2015",
                             "use_first_row_for_vectorname": true
                         },
                         {
                             "description": "Home prices in two neighborhoods near San Francisco. Palo Alto is an older neighborhood and Foster City, a newer one. How do prices compare?",
                             "url": "https://dasl.datadescription.com/download/data/3104",
                             "filename": "CA-House-Prices",
                             "name": "CA House Prices",
                             "use_first_row_for_vectorname": true
                         },
                         {
                             "description": "-",
                             "url": "https://dasl.datadescription.com/download/data/3097",
                             "filename": "Car-discounts",
                             "name": "Car discounts",
                             "use_first_row_for_vectorname": true
                         },
                         {
                             "description": "-",
                             "url": "https://dasl.datadescription.com/download/data/3098",
                             "filename": "Car-origins",
                             "name": "Car origins",
                             "use_first_row_for_vectorname": true
                         },
                         {
                             "description": "The S&P/Case-Shiller Home Price Indices track changes in the value of residential real estate nationally and in 20 metropolitan regions. (Some of these indices are actually traded on the Chicago Mercantile Exchange.) The data set Case-Shiller by City gives the monthly index values for each of the 20 cities tracked by the Case-Shiller index  and two national composite series.",
                             "url": "https://dasl.datadescription.com/download/data/3102",
                             "filename": "Case-Shiller-by-city",
                             "name": "Case-Shiller by city",
                             "use_first_row_for_vectorname": true
                         },
                         {
                             "description": "Beginning in 2017, public companies will be required to disclose the ratio of CEO pay to median worker pay. The Glassdoor Economic Research Blog has published the data for 2014. The data includes CEO identities, companies, CEO compensation, median worker compensation (compiled by Glassdoor), and the ratio of CEO to worker compensation.",
                             "url": "https://dasl.datadescription.com/download/data/3105",
                             "filename": "CEO-Compensation-2014",
                             "name": "CEO Compensation 2014",
                             "use_first_row_for_vectorname": true
                         },
                         {
                             "description": "-",
                             "url": "https://dasl.datadescription.com/download/data/3106",
                             "filename": "CEO-Salary-2012",
                             "name": "CEO Salary 2012",
                             "use_first_row_for_vectorname": true
                         },
                         {
                             "description": "Coffee is the world's second largest\nlegal export commodity (after oil) and is the second largest\nsource of foreign exchange for developing nations. The\nUnited States consumes about one-fifth of the world's coffee.\nThe International Coffee Organization (ICO) computes\na coffee price index using Colombian, Brazilian, and\na mixture of other coffee data. Data are provided for the\nmonthly average ICO price index (in $US) from Jan 2009 to December 2017.",
                             "url": "https://dasl.datadescription.com/download/data/3119",
                             "filename": "Coffee-prices-2017",
                             "name": "Coffee-prices-2017",
                             "use_first_row_for_vectorname": true
                         },
                         {
                             "description": "The cost of a variety of common items in 576 cities around the world in $, adjusted so that New York, U.S.A. is 100.",
                             "url": "https://dasl.datadescription.com/download/data/3120",
                             "filename": "COLall-2016",
                             "name": "COLall 2016",
                             "use_first_row_for_vectorname": true
                         },
                         {
                             "description": "Facts about companies selected from the Forbes 500 list for 1986. This is a 1/10 systematic sample from the alphabetical list of companies. The Forbes 500 includes all companies in the top 500 on any of the criteria, and thus has almost 800 companies in the list.",
                             "url": "https://dasl.datadescription.com/download/data/3125",
                             "filename": "Companies",
                             "name": "Companies",
                             "use_first_row_for_vectorname": true
                         },
                         {
                             "description": "Facts about companies selected from the Forbes 500 list for 2000",
                             "url": "https://dasl.datadescription.com/download/data/3595",
                             "filename": "Companies-Quickstart",
                             "name": "Companies Quickstart",
                             "use_first_row_for_vectorname": true
                         },
                         {
                             "description": "-",
                             "url": "https://dasl.datadescription.com/download/data/3129",
                             "filename": "Consumer-spending",
                             "name": "Consumer spending",
                             "use_first_row_for_vectorname": true
                         },
                         {
                             "description": "-",
                             "url": "https://dasl.datadescription.com/download/data/3130",
                             "filename": "Consumer-spending-post-holiday",
                             "name": "Consumer spending post holiday",
                             "use_first_row_for_vectorname": true
                         },
                         {
                             "description": "Numbeo.com lists the cost of living (COL) for 576 cities around the world. They report the typical cost of a number of staples. The cost of living is made up of many components. These data report a variety of everyday costs. How are they related? Can an overall cost of living be constructed from them?",
                             "url": "https://dasl.datadescription.com/download/data/3132",
                             "filename": "Cost-of-living-2016",
                             "name": "Cost of living 2016",
                             "use_first_row_for_vectorname": true
                         },
                         {
                             "description": "-",
                             "url": "https://dasl.datadescription.com/download/data/3135",
                             "filename": "Cost-of-Living-2017",
                             "name": "Cost of Living 2017",
                             "use_first_row_for_vectorname": true
                         },
                         {
                             "description": "Cost of Living Index (Excl. Rent) is a relative indicator of consumer goods prices, including groceries, restaurants, transportation and utilities. Cost of Living Index doesn't include accommodation expenses such as rent or mortgage. If a city has a Cost of Living Index of 120, it means Numbeo estimates it is 20% more expensive than New York (excluding rent).\nRent Index is an estimation of prices of renting apartments in the city compared to New York City. If Rent index is 80, Numbeo estimates that price of rents in that city is on an average 20% less than the price in New York.\nGroceries Index is an estimation of grocery prices in the city compared to New York City. To calculate this section, Numbeo uses weights of items in the \"Markets\" section for each city.\nRestaurants Index is a comparison of prices of meals and drinks in restaurants and bars compared to NYC.\nCost of Living Plus Rent Index is an estimation of consumer goods prices including rent comparing to New York City.\nLocal Purchasing Power shows relative purchasing power in buying goods and services in a given city for the average wage in that city. If domestic purchasing power is 40, this means that the inhabitants of that city with the average salary can afford to buy on an average 60% less goods and services than New York City residents with an average salary.",
                             "url": "https://dasl.datadescription.com/download/data/3136",
                             "filename": "Cost-of-living-2018",
                             "name": "Cost of living 2018",
                             "use_first_row_for_vectorname": true
                         },
                         {
                             "description": "The Consumer Price Index (CPI) summarizes the cost of a representative market basket\nof goods that includes groceries, restaurants, transportation, utilities, and medical\ncare. Global companies often use the CPI to determine living allowances and salaries\nfor employees. Inflation is often measured by how much the CPI changes from year to\nyear. Relative CPIs can be found for different cities. We have data giving CPI components\nrelative to New York City. For New York City, each index is 100(%).",
                             "url": "https://dasl.datadescription.com/download/data/3139",
                             "filename": "CPI-Worldwide-2016",
                             "name": "CPI Worldwide 2016",
                             "use_first_row_for_vectorname": true
                         },
                         {
                             "description": "A credit card company wants to see how much customers in a particular segment of\ntheir market use their credit card. They have provided data on the amount\nspent by 500 selected customers during a 3-month period and have asked you to\nsummarize the expenditures. (Data are realistic, but disguised for confidentiality.)",
                             "url": "https://dasl.datadescription.com/download/data/3146",
                             "filename": "Credit-card-charges",
                             "name": "Credit card charges",
                             "use_first_row_for_vectorname": true
                         },
                         {
                             "description": "Peninsula Creameries sells both cottage cheese and ice cream. The CEO recently noticed that in months when the company sells more cottage cheese, it seems to sell more ice cream as well.",
                             "url": "https://dasl.datadescription.com/download/data/3152",
                             "filename": "Dairy-sales",
                             "name": "Dairy sales",
                             "use_first_row_for_vectorname": true
                         },
                         {
                             "description": "Data on raw diamonds from the internet. Price of a diamond depends on its Carat weight, color, clarity, and cut. The data are for 2690 diamonds of a variety of weights, colors, clarity, and cut. What predicts the price? Do the variables need to be reexpressed?",
                             "url": "https://dasl.datadescription.com/download/data/3161",
                             "filename": "Diamonds_",
                             "name": "Diamonds",
                             "use_first_row_for_vectorname": true
                         },
                         {
                             "description": "The Dow Jones stock index measures the performance of the stocks of America's largest companies. A regression of the Dow prices on years 1972-2015 appears to be successful, but the residuals raise some questions.",
                             "url": "https://dasl.datadescription.com/download/data/3176",
                             "filename": "Dow-Jones-2015",
                             "name": "Dow Jones 2015",
                             "use_first_row_for_vectorname": true
                         },
                         {
                             "description": "Quarterly e-commerce retail sales (in millions of dollars) in the United States from 1999 to 2008.",
                             "url": "https://dasl.datadescription.com/download/data/3180",
                             "filename": "E-commerce",
                             "name": "E-commerce",
                             "use_first_row_for_vectorname": true
                         },
                         {
                             "description": "When implementing a packaged\nEnterprise Resource Planning (ERP) system, many companies\nreport that the module they first install is Financial\nAccounting. Among the measures used to gauge the\neffectiveness of their ERP system implementation is acceleration\nof the financial close process. The data hold a sample of\n8 companies that report their average time (in weeks) to\nfinancial close before and after the implementation of their\nERP system.",
                             "url": "https://dasl.datadescription.com/download/data/3191",
                             "filename": "ERP-Effectiveness",
                             "name": "ERP Effectiveness",
                             "use_first_row_for_vectorname": true
                         },
                         {
                             "description": "Sales (in $) for one week were collected for 18 stores in a food store chain in the northeastern United States. The stores and the towns they are located in vary in size.",
                             "url": "https://dasl.datadescription.com/download/data/3213",
                             "filename": "Food-sales",
                             "name": "Food sales",
                             "use_first_row_for_vectorname": true
                         },
                         {
                             "description": "The U.S. government provides fuel economy (in miles per gallon) and other information about late model cars sold in the US. How would you model the relationship between fuel economy and engine displacement (in liters)? Are there any cars that don't fit the model? Can you explain why?",
                             "url": "https://dasl.datadescription.com/download/data/3225",
                             "filename": "Fueleconomy-2016",
                             "name": "Fuel economy 2016",
                             "use_first_row_for_vectorname": true
                         },
                         {
                             "description": "Weekly gas prices for regular gas in the United States as reported by the U.S. Energy Information Administration for 2009 through August 2016 ",
                             "url": "https://dasl.datadescription.com/download/data/3232",
                             "filename": "Gas-prices-2016",
                             "name": "Gas prices 2016",
                             "use_first_row_for_vectorname": true
                         },
                         {
                             "description": "Gas Prices 2017",
                             "url": "https://dasl.datadescription.com/download/data/3233",
                             "filename": "Gas-Prices-2017",
                             "name": "Gas Prices 2017",
                             "use_first_row_for_vectorname": true
                         },
                         {
                             "description": "Monthly gas prices for all grades and all formulations ($/gallon) in the United States as reported by the U.S. Energy Information Administration for 1993 through August 2018. Prices are available at the cite for all weeks. Data here are for the final week of each month.",
                             "url": "https://dasl.datadescription.com/download/data/3234",
                             "filename": "Gas-prices-2018",
                             "name": "Gas prices 2018",
                             "use_first_row_for_vectorname": true
                         },
                         {
                             "description": "Many drivers of cars that can run on regular gas actually buy premium in the belief that they will get better gas mileage. To test that belief, we use 10 cars from a company fleet in which all the cars run on regular gas. Each car is filled first with either regular or premium gasoline, decided by a coin toss, and the mileage for that tankful is recorded. Then the mileage is recorded again for the same cars for a tankful of the other kind of gaso-line. We don't let the drivers know about this experiment.",
                             "url": "https://dasl.datadescription.com/download/data/3235",
                             "filename": "Gas-prices-monthly",
                             "name": "Gas prices monthly",
                             "use_first_row_for_vectorname": true
                         },
                         {
                             "description": "GDP by state",
                             "url": "https://dasl.datadescription.com/download/data/3238",
                             "filename": "GDP-state",
                             "name": "GDP by state",
                             "use_first_row_for_vectorname": true
                         },
                         {
                             "description": "GDP growth 2017.",
                             "url": "https://dasl.datadescription.com/download/data/3239",
                             "filename": "GDP-growth-2017",
                             "name": "GDP growth 2017",
                             "use_first_row_for_vectorname": true
                         },
                         {
                             "description": "Daily opening and closing stock prices (adjusted for splits and dividends) for Google, Inc. from Aug 19, 2004 through June 21, 2013.",
                             "url": "https://dasl.datadescription.com/download/data/3247",
                             "filename": "Google-stock-prices",
                             "name": "Google stock prices",
                             "use_first_row_for_vectorname": true
                         },
                         {
                             "description": "A graphite manufacturer makes long\nrolls of flexible graphite to be used to seal components in\ncombustion engines. The specifications state that the mean\nstrength should be 21.2 ounces per square yard with a\nstandard deviation of 0.29. Further specifications state that\nno roll should have strength less than 20.2 or more than\n22.2 ounces per square yard. If there is a defect in terms\nof the strength of the graphite rolls, the seal will not hold.\nAfter the roll is created, a beta scanner takes readings of\nthe basis weight in ounces per square yard. The data is\nseparated into 10 lanes with 20 scans in each lane. A sample\nconsists of one roll from each lane. The results from 20\nsamples follow are in the data.",
                             "url": "https://dasl.datadescription.com/download/data/3250",
                             "filename": "Graphite-production",
                             "name": "Graphite production",
                             "use_first_row_for_vectorname": true
                         },
                         {
                             "description": "WinCo Foods, a large discount grocery\nretailer in the western United States, promotes itself as the lowest priced grocery retailer. In newspaper ads WinCo Foods published a price comparison for products between WinCo and several competing grocery retailers. One of the retailers compared against WinCo was Walmart, also known as a low price competitor. WinCo selected a variety of products, listed the price of the product charges at each retailer, and showed the sales receipt to prove the prices at WinCo were the lowest in the area. A sample of the products and their price comparison at both WinCo and Walmart are given.",
                             "url": "https://dasl.datadescription.com/download/data/3251",
                             "filename": "Grocery-prices",
                             "name": "Grocery prices",
                             "use_first_row_for_vectorname": true
                         },
                         {
                             "description": "Health expenditures.",
                             "url": "https://dasl.datadescription.com/download/data/3260",
                             "filename": "Health-expenditures",
                             "name": "Health expenditures",
                             "use_first_row_for_vectorname": true
                         },
                         {
                             "description": "The price (per barrel) of oil has fluctuated over time. Various attempts to model it are generally not successful.",
                             "url": "https://dasl.datadescription.com/download/data/3266",
                             "filename": "Historica-Oil-Prices-2016",
                             "name": "Historical Oil Prices 2016",
                             "use_first_row_for_vectorname": true
                         },
                         {
                             "description": "Holiday shopping.",
                             "url": "https://dasl.datadescription.com/download/data/3267",
                             "filename": "Holiday-shopping",
                             "name": "Holiday shopping",
                             "use_first_row_for_vectorname": true
                         },
                         {
                             "description": "Holiday spending.",
                             "url": "https://dasl.datadescription.com/download/data/3268",
                             "filename": "Holiday-spending",
                             "name": "Holiday spending",
                             "use_first_row_for_vectorname": true
                         },
                         {
                             "description": "Home depot sales.",
                             "url": "https://dasl.datadescription.com/download/data/3269",
                             "filename": "Home-depot-sales",
                             "name": "Home depot sales",
                             "use_first_row_for_vectorname": true
                         },
                         {
                             "description": "Home Price Index 2017.",
                             "url": "https://dasl.datadescription.com/download/data/3270",
                             "filename": "Home-Price-Index-2017",
                             "name": "Home Price Index 2017",
                             "use_first_row_for_vectorname": true
                         },
                         {
                             "description": "House prices and properties in New York. What properties of a house can predict its price? Can we use such a model to identify houses that are extraordinarily expensive or inexpensive?",
                             "url": "https://dasl.datadescription.com/download/data/3275",
                             "filename": "Housing-prices",
                             "name": "Housing prices",
                             "use_first_row_for_vectorname": true
                         },
                         {
                             "description": "House prices and properties in New York. What properties of a house can predict its price? Can we use such a model to identify houses that are extraordinarily expensive or inexpensive?",
                             "url": "https://dasl.datadescription.com/download/data/3276",
                             "filename": "Housing-prices-GE19",
                             "name": "Housing prices GE19",
                             "use_first_row_for_vectorname": true
                         },
                         {
                             "description": "How are housing costs related to median family income?",
                             "url": "https://dasl.datadescription.com/download/data/3283",
                             "filename": "Income-housing",
                             "name": "Income and housing",
                             "use_first_row_for_vectorname": true
                         },
                         {
                             "description": "Income vs Hours 2013",
                             "url": "https://dasl.datadescription.com/download/data/3286",
                             "filename": "Income-vs-Hours-2013",
                             "name": "Income vs Hours 2013",
                             "use_first_row_for_vectorname": true
                         },
                         {
                             "description": "The U.S. Consumer Price Index and year, every 5 years since 1916. These are the values for January of each year. What is the trend? Can we model it with a linear regression?",
                             "url": "https://dasl.datadescription.com/download/data/3291",
                             "filename": "Inflation-2016",
                             "name": "Inflation 2016",
                             "use_first_row_for_vectorname": true
                         },
                         {
                             "description": "Average annual interest rates (banks prime lending) in the United States from 1966 through 2009.",
                             "url": "https://dasl.datadescription.com/download/data/3296",
                             "filename": "Interest-rates-2009",
                             "name": "Interest rates 2009",
                             "use_first_row_for_vectorname": true
                         },
                         {
                             "description": "he amount charged for mortgages may be related to the total value of mortgage loans in the US. Can that relationship be modeled? Does it depend as well on the year? Consider a rotating plot of interest rate, mortgage total, and year.",
                             "url": "https://dasl.datadescription.com/download/data/3297",
                             "filename": "Interest-mortgage",
                             "name": "Interest rates and mortgages",
                             "use_first_row_for_vectorname": true
                         },
                         {
                             "description": "The amount charged for mortgages may be related to the total value of mortgage loans in the US. Can that relationship be modeled? Does it depend as well on the year? Consider a rotating plot of interest rate, mortgage total, and year.",
                             "url": "https://dasl.datadescription.com/download/data/3298",
                             "filename": "Interest-mortgage-2015",
                             "name": "Interest rates and mortgages 2015",
                             "use_first_row_for_vectorname": true
                         },
                         {
                             "description": "This example is based on 1998 case study written by J. Hunt, E. Landry, and J. Rao as part of the Babson College case series. The data and setting used in this example are based on the actual case study, but the data have been modified and the conclusions are fictitious.",
                             "url": "https://dasl.datadescription.com/download/data/3308",
                             "filename": "Komtek-Technologies",
                             "name": "Komtek Technologies",
                             "use_first_row_for_vectorname": true
                         },
                         {
                             "description": "Real estate agents want to set correctly\nthe price of a house that's about to go on the real estate\nmarket. They must choose a price that strikes a balance\nbetween one that is so high that the house takes too long\nto sell and one that's so low that not enough value will go\nto the homeowner. One appraisal method is the \"Comparative\nMarket Analysis\" approach by which the market\nvalue of a house is based on recent sales of similar homes\nin the neighborhood. Because no two houses are exactly\nthe same, appraisers have to adjust comparable homes for\nsuch features as extra square footage, bedrooms, fireplaces,\nupgrading, parking facilities, swimming pool, lot size, location,\nand so on. The appraised market values and the selling\nprices of 45 homes from the same region are given.",
                             "url": "https://dasl.datadescription.com/download/data/3328",
                             "filename": "Market-value",
                             "name": "Market value",
                             "use_first_row_for_vectorname": true
                         },
                         {
                             "description": "Marketing managers salaries.",
                             "url": "https://dasl.datadescription.com/download/data/3327",
                             "filename": "Marketing-managers-salaries",
                             "name": "Marketing managers salaries",
                             "use_first_row_for_vectorname": true
                         },
                         {
                             "description": "Quarterly median weekly earnings from the first quarter of 2003 through the first quarter of 2013 for men, 25 years of age or older, in the United States ",
                             "url": "https://dasl.datadescription.com/download/data/3336",
                             "filename": "Men-weekly-earnings-2013",
                             "name": "Men's weekly earnings 2013",
                             "use_first_row_for_vectorname": true
                         },
                         {
                             "description": "Movie budgets.",
                             "url": "https://dasl.datadescription.com/download/data/3347",
                             "filename": "Movie-budgets",
                             "name": "Movie budgets",
                             "use_first_row_for_vectorname": true
                         },
                         {
                             "description": "Does money purchase a good movie? Is the US Gross revenue related to either the budge or the Rotten Tomatoes score? The dataset holds data on 609 recent releases that includes the USGross (in $M), the Budget ($M), the Run Time (minutes), and the score given by the critics on the Rotten Tomatoes website.",
                             "url": "https://dasl.datadescription.com/download/data/3349",
                             "filename": "Movie-profits",
                             "name": "Movie profits",
                             "use_first_row_for_vectorname": true
                         },
                         {
                             "description": "Mutual fund flows.",
                             "url": "https://dasl.datadescription.com/download/data/3354",
                             "filename": "Mutual-fund-flows",
                             "name": "Mutual fund flows",
                             "use_first_row_for_vectorname": true
                         },
                         {
                             "description": "On December 30, 2016, the Standard and Poor's (S&P) 500 index hit an all-time high. During 2016, the S&P returned 12.25%. Here is a histogram of the 2016 net returns (total return - annual expenses) for Money Magazine's 50 Best Mutual Funds and ETFs. The net returns are computed from the data given by Money Magazine.",
                             "url": "https://dasl.datadescription.com/download/data/3353",
                             "filename": "Mutual-funds-2016",
                             "name": "Mutual funds 2016",
                             "use_first_row_for_vectorname": true
                         },
                         {
                             "description": "A study by the U.S. Small\nBusiness Administration used historical data to model the\nGDP per capita of 24 of the countries in the Organization\nfor Economic Cooperation and Development(OECD). The researchers hoped to show that more regulation leads to lower GDP/Capita. The multiple regression with all terms does have a significant P-value for Economic Regulation Index.\nHowever, Primary Education is not a significant predictor. If it is removed from the model, then OECD Regulation is no longer significant at .05. Was it added to the model just to judge the P-value of OECD regulation down to permit a publication that claimed an effect?\nCheck to see whether you think there is such an effect.",
                             "url": "https://dasl.datadescription.com/download/data/3373",
                             "filename": "OECD-economic-regulations",
                             "name": "OECD economic regulations",
                             "use_first_row_for_vectorname": true
                         },
                         {
                             "description": "OECD GDP.",
                             "url": "https://dasl.datadescription.com/download/data/3374",
                             "filename": "OECD-GDP",
                             "name": "OECD GDP",
                             "use_first_row_for_vectorname": true
                         },
                         {
                             "description": "OECD GDP Growth.",
                             "url": "https://dasl.datadescription.com/download/data/3375",
                             "filename": "OECD-GDP-Growth",
                             "name": "OECD GDP Growth",
                             "use_first_row_for_vectorname": true
                         },
                         {
                             "description": "OECD Unemployment.",
                             "url": "https://dasl.datadescription.com/download/data/3376",
                             "filename": "OECD-Unemployment",
                             "name": "OECD Unemployment",
                             "use_first_row_for_vectorname": true
                         },
                         {
                             "description": "The price (per barrel) of oil has fluctuated over time. Various attempts to model it are generally not successful. The data include both the inflation-adjusted prices of a barrel of oil from 1968 to 2016 and two prediction models.",
                             "url": "https://dasl.datadescription.com/download/data/3377",
                             "filename": "Oil-prices-2016",
                             "name": "Oil prices 2016",
                             "use_first_row_for_vectorname": true
                         },
                         {
                             "description": "Online Shopping",
                             "url": "https://dasl.datadescription.com/download/data/3384",
                             "filename": "Online-Shopping",
                             "name": "Online Shopping",
                             "use_first_row_for_vectorname": true
                         },
                         {
                             "description": "Sales volume and price of a slice of plain pizza ($) in Baltimore, Dallas, Chicago, and Denver for 156 weeks. How are prices and sales volumes related? Are patterns the same across cities?",
                             "url": "https://dasl.datadescription.com/download/data/3395",
                             "filename": "Pizza-prices",
                             "name": "Pizza prices",
                             "use_first_row_for_vectorname": true
                         },
                         {
                             "description": "Poverty and Region 2015",
                             "url": "https://dasl.datadescription.com/download/data/3403",
                             "filename": "Poverty-and-Region-2015",
                             "name": "Poverty and Region 2015",
                             "use_first_row_for_vectorname": true
                         },
                         {
                             "description": "UBS (one of the largest banks in the world) prepared\na report comparing prices, wages, and other economic conditions in cities around the world for it's international clients. Some of the variables it measured in 73 cities are Cost of Living, Food Costs, Average Hourly Wage, average number of Working Hours per Year, average number of Vacation Days, hours of work (at the average wage) needed to buy an iPhone, minutes of work needed to buy a Big Mac, and Women's Clothing Cost.",
                             "url": "https://dasl.datadescription.com/download/data/3405",
                             "filename": "Prices-Earnings",
                             "name": "Prices and Earnings",
                             "use_first_row_for_vectorname": true
                         },
                         {
                             "description": "The owner of a small organic food\nstore was concerned about her sales of a specialty yogurt\nmanufactured in Greece. As a result of increasing fuel\ncosts, she recently had to increase its price. To help boost\nsales, she decided to place the product on a different shelf\n(near eye level for most consumers) and in a location near\nother popular international products. She kept track of\nsales (number of containers sold per week) for six months\nafter she made the change.",
                             "url": "https://dasl.datadescription.com/download/data/3410",
                             "filename": "Product-placement",
                             "name": "Product placement",
                             "use_first_row_for_vectorname": true
                         },
                         {
                             "description": "A company is producing and marketing\nnew reading activities for elementary school children that\nit believes will improve reading comprehension scores. A\nresearcher randomly assigns third graders to an eight-week\nprogram in which some will use these activities and others\nwill experience traditional teaching methods. At the end of\nthe experiment, both groups take a reading comprehension\nexam. Do these results suggest that the new activities\nare better?",
                             "url": "https://dasl.datadescription.com/download/data/3411",
                             "filename": "Product-testing",
                             "name": "Product testing",
                             "use_first_row_for_vectorname": true
                         },
                         {
                             "description": "Productivity 2016.",
                             "url": "https://dasl.datadescription.com/download/data/3409",
                             "filename": "Productivity-2016",
                             "name": "Productivity 2016",
                             "use_first_row_for_vectorname": true
                         },
                         {
                             "description": "As a class project, students in a large Statistics class collected publicly available information on recent home sales in their hometowns. There are 894 properties. These are not a random sample, but they may be representative of home sales during a short period of time, nationwide. Among the variables available is an indication of whether the home was in an urban, suburban, or rural setting.",
                             "url": "https://dasl.datadescription.com/download/data/3423",
                             "filename": "Real-Estate",
                             "name": "Real Estate",
                             "use_first_row_for_vectorname": true
                         },
                         {
                             "description": "Real estate sample 1200.",
                             "url": "https://dasl.datadescription.com/download/data/3423",
                             "filename": "Real-estate-sample-1200",
                             "name": "Real estate sample 1200",
                             "use_first_row_for_vectorname": true
                         },
                         {
                             "description": "Regular gas 2017.",
                             "url": "https://dasl.datadescription.com/download/data/3426",
                             "filename": "Regular-gas-2017",
                             "name": "Regular gas 2017",
                             "use_first_row_for_vectorname": true
                         },
                         {
                             "description": "Retail trade index.",
                             "url": "https://dasl.datadescription.com/download/data/3427",
                             "filename": "Retail-trade-index",
                             "name": "Retail trade index",
                             "use_first_row_for_vectorname": true
                         },
                         {
                             "description": "A sample from Fortune 500 companies.",
                             "url": "https://dasl.datadescription.com/download/data/3434",
                             "filename": "Sales-profits",
                             "name": "Sales and profits",
                             "use_first_row_for_vectorname": true
                         },
                         {
                             "description": "Prices of homes in Saratoga NY along with facts about them. Good basis for multiple regressions to predict the Price of the house. But several predictors are collinear.",
                             "url": "https://dasl.datadescription.com/download/data/3437",
                             "filename": "Saratoga-house-prices",
                             "name": "Saratoga house prices",
                             "use_first_row_for_vectorname": true
                         },
                         {
                             "description": "Prices of homes in Saratoga NY along with facts about them. Good basis for multiple regressions to predict the Price of the house. But several predictors are collinear.",
                             "url": "https://dasl.datadescription.com/download/data/3436",
                             "filename": "Saratoga-houses",
                             "name": "Saratoga houses",
                             "use_first_row_for_vectorname": true
                         },
                         {
                             "description": "A group of Statistics students cut ads out of magazines. They were careful to find two ads for each of 10 similar items, one with a sexual image and one without. They arranged the ads in random order and had 39 subjects look at them for one minute. Then they asked the subjects to list as many of the products as they could remember. Their data are shown in the table. Is there evidence that the sexual images mattered?",
                             "url": "https://dasl.datadescription.com/download/data/3444",
                             "filename": "Sex-sells",
                             "name": "Sex sells",
                             "use_first_row_for_vectorname": true
                         },
                         {
                             "description": "Researchers studying how a car's fuel efficiency (in Miles Per Gallon) varies with its Speed drove a compact car 200 miles at various speeds on a test track. Their data are shown in the table.",
                             "url": "https://dasl.datadescription.com/download/data/3454",
                             "filename": "Slower-is-cheaper",
                             "name": "Slower is cheaper",
                             "use_first_row_for_vectorname": true
                         },
                         {
                             "description": "The data give the federal rate on 3-month Treasury bills from 1950 to 1980 and Years Since 1950.",
                             "url": "https://dasl.datadescription.com/download/data/3477",
                             "filename": "TBill-rates-2016",
                             "name": "TBill rates 2016",
                             "use_first_row_for_vectorname": true
                         },
                         {
                             "description": "Tiffany was founded in 1837, when Charles Lewis Tiffany opened his first store in downtown Manhattan. Tiffany retails and distributes a selection of Tiffany & Co. brand jewelry at a range of prices. Today, more than 150 Tiffany & Co. stores sell to customers in U.S. and international markets.\nThe dataset holds quarterly sales data from 2005 through the middle of 2017. The data are suitable for time series modeling.",
                             "url": "https://dasl.datadescription.com/download/data/3482",
                             "filename": "Tiffany",
                             "name": "Tiffany 2017",
                             "use_first_row_for_vectorname": true
                         },
                         {
                             "description": "Time on market",
                             "url": "https://dasl.datadescription.com/download/data/3483",
                             "filename": "Time-on-market",
                             "name": "Time on market",
                             "use_first_row_for_vectorname": true
                         },
                         {
                             "description": "Are people who use tobacco products more likely to consume alcohol? Here are data on household spending (in pounds) taken by the British government on 11 regions in Great Britain. Do tobacco and alcohol spending appear to be related? What questions do you have about these data? What conclusions can you draw?",
                             "url": "https://dasl.datadescription.com/download/data/3485",
                             "filename": "Tobacco-and-alcohol",
                             "name": "Tobacco and alcohol",
                             "use_first_row_for_vectorname": true
                         },
                         {
                             "description": "Daily closing stock prices for Toyota Motor Manufacturing from April 1, 2008, through June 21, 2013 ",
                             "url": "https://dasl.datadescription.com/download/data/3491",
                             "filename": "Toyota-stock-prices-2013",
                             "name": "Toyota stock prices 2013",
                             "use_first_row_for_vectorname": true
                         },
                         {
                             "description": "US Unemployment rate from 1/1/2003 to 8/1/17.",
                             "url": "https://dasl.datadescription.com/download/data/3507",
                             "filename": "Unemployment-2017",
                             "name": "Unemployment 2017",
                             "use_first_row_for_vectorname": true
                         },
                         {
                             "description": "Kelly's Blue Book: https://www.kbb.com/cars-for-sale/ accessed on 31 Aug 2017 using zip code 94305 200 mile radius BMW M5.",
                             "url": "https://dasl.datadescription.com/download/data/3508",
                             "filename": "Used-BMW",
                             "name": "Used BMW M5 2017",
                             "use_first_row_for_vectorname": true
                         },
                         {
                             "description": "How does the age of a used car influence its price? This is a small enough data set to find a model with a calculator.",
                             "url": "https://dasl.datadescription.com/download/data/3509",
                             "filename": "Used-cars",
                             "name": "Used cars 2014",
                             "use_first_row_for_vectorname": true
                         },
                         {
                             "description": "The web site www.autotrader.com lists cars for sale. On January 22 2017,\nit listed 55 used Honda Civics for sale by owner. From those listings, we extracted the asking price ($), the mileage, and the model year (from which we computed the age of the car at the time the data were collected\nQuestions include how to best predict the price from mileage and age and whether any of the cars is a particularly good buy.\nOne care is a particularly old (1989) car that has relatively low mileage for such an old car. The seller claims it hasn't been driven for several years. \nIt looks like Price might benefit from re-expression by logs.",
                             "url": "https://dasl.datadescription.com/download/data/3510",
                             "filename": "Used-Civics",
                             "name": "Used Civics 2017",
                             "use_first_row_for_vectorname": true
                         },
                         {
                             "description": "The data give the gross domestic product (GDP) of the United States in trillions of 2009 dollars and time.",
                             "url": "https://dasl.datadescription.com/download/data/3511",
                             "filename": "USGDP-2016",
                             "name": "USGDP 2016",
                             "use_first_row_for_vectorname": true
                         },
                         {
                             "description": "Walmart revenue",
                             "url": "https://dasl.datadescription.com/download/data/3514",
                             "filename": "Walmart-revenue",
                             "name": "Walmart revenue",
                             "use_first_row_for_vectorname": true
                         },
                         {
                             "description": "Gallup Poll of 1015 U.S. adults on April 9 - 12, 2015. Respondents were classified as high income (over $75,000), middle income ($30k-$75k), or low income (less than $30k). Those polled were asked for their views on redistributing U.S. wealth by heavily taxing the rich. Counts are reconstructed from percentages published by Gallup.",
                             "url": "https://dasl.datadescription.com/download/data/3518",
                             "filename": "Wealth-Redistribution",
                             "name": "Wealth Redistribution",
                             "use_first_row_for_vectorname": true
                         },
                         {
                             "description": "Quarterly sales of Whole Foods Markets from 1995 through 2016. Whole Foods was purchased by Amazon in 2017, so 2016 is the final complete year prior to the merger. The data show a strong seasonal component even though food sales should not be seasonal.",
                             "url": "https://dasl.datadescription.com/download/data/3522",
                             "filename": "Whole-Foods",
                             "name": "Whole Foods 2016",
                             "use_first_row_for_vectorname": true
                         },
                         {
                             "description": "Wine production",
                             "url": "https://dasl.datadescription.com/download/data/3529",
                             "filename": "Wine-production",
                             "name": "Wine production",
                             "use_first_row_for_vectorname": true
                         },
                         {
                             "description": "Quarterly median weekly earnings for U.S. women 25 years of age or older. Data are provided from the first quarter of 2003 through the first quarter of 2013.",
                             "url": "https://dasl.datadescription.com/download/data/3535",
                             "filename": "Women-earnings",
                             "name": "Women's weekly earnings 2013",
                             "use_first_row_for_vectorname": true
                         },
                         {
                             "description": "Youth Unemployment 2016",
                             "url": "https://dasl.datadescription.com/download/data/3546",
                             "filename": "Youth-Unemployment-2016",
                             "name": "Youth Unemployment 2016",
                             "use_first_row_for_vectorname": true
                         }
                     ],
                     "name": "Economics"
                 },
                 {
                     "datasets": [
                         {
                             "description": " Alex Rodriguez (known to fans as A-Rod)was the youngest player ever to hit 500 home runs. The file holds the number of home runs hit by A-Rod during the 1994-2016 seasons. Describe the distribution, mentioning its shape and any unusual features.",
                             "url": "https://dasl.datadescription.com/download/data/3038",
                             "filename": "a-rod-2016",
                             "name": "A-Rod 2016",
                             "use_first_row_for_vectorname": true
                         },
                         {
                             "description": "In Olympic Archery both men and women start with a field of 64 qualifiers. Each archer shoots a round of 72 arrows (total possible score: 720) to establish a seeding position. Then they participate in a single-elimination contest. Thus, the seeding round is the only one that provides data for all archers (because some are eliminated at each step of the elimination rounds). The data are the seeding round data for the 2008 Olympics.",
                             "url": "https://dasl.datadescription.com/download/data/3056",
                             "filename": "Archery",
                             "name": "Archery",
                             "use_first_row_for_vectorname": true
                         },
                         {
                             "description": "American League baseball games are played under the designated hitter rule, meaning that pitchers, often weak hitters, do not come to bat. Baseball owners believe that the designated hitter rule means more runs scored, which in turn means higher attendance. Is there evidence that more fans attend games if the teams score more runs? The data give attendance total, home, and away for each team in major league baseball for the 2016 season. Does attendance respond to winning or runs scored?",
                             "url": "https://dasl.datadescription.com/download/data/3057",
                             "filename": "Attendance-2016",
                             "name": "Attendance 2016",
                             "use_first_row_for_vectorname": true
                         },
                         {
                             "description": "It has been suggested that children born in the summer have an advantage over their peers when it comes to sports, perhaps because they can be outdoors when they are young. The data report the number of professional ballplayers born in each month of the year for one season of professional baseball.",
                             "url": "https://dasl.datadescription.com/download/data/3060",
                             "filename": "Ballplayer-births",
                             "name": "Ballplayer births",
                             "use_first_row_for_vectorname": true
                         },
                         {
                             "description": "-",
                             "url": "https://dasl.datadescription.com/download/data/3063",
                             "filename": "Baseball-attendance",
                             "name": "Baseball attendance",
                             "use_first_row_for_vectorname": true
                         },
                         {
                             "description": "-",
                             "url": "https://dasl.datadescription.com/download/data/3064",
                             "filename": "Baseball-circumferences",
                             "name": "Baseball circumferences",
                             "use_first_row_for_vectorname": true
                         },
                         {
                             "description": "Ballplayers have been signing ever larger contracts. The highest salaries (in millions of dollars per season) for each year since 1874 are in the data file.",
                             "url": "https://dasl.datadescription.com/download/data/3065",
                             "filename": "Baseball-salaries-2015",
                             "name": "Baseball salaries 2015",
                             "use_first_row_for_vectorname": true
                         },
                         {
                             "description": "-",
                             "url": "https://dasl.datadescription.com/download/data/3066",
                             "filename": "Baseball-salaries-2016",
                             "name": "Baseball salaries 2016",
                             "use_first_row_for_vectorname": true
                         },
                         {
                             "description": "-",
                             "url": "https://dasl.datadescription.com/download/data/3067",
                             "filename": "Baseball-weights",
                             "name": "Baseball weights",
                             "use_first_row_for_vectorname": true
                         },
                         {
                             "description": "-",
                             "url": "https://dasl.datadescription.com/download/data/3069",
                             "filename": "Basketball-shots",
                             "name": "Basketball shots",
                             "use_first_row_for_vectorname": true
                         },
                         {
                             "description": "A company that makes basketballs has the motto: \"Our basketballs are ready to play.\" Therefore, it is important to the company that the basketballs are inflated with the proper amount of air when shipped. Most basketballs are inflated to 7 to 9 pounds per square inch. Recently the company selected a random basketball from its production line at four different time periods over its normal production day. The results were recorded.",
                             "url": "https://dasl.datadescription.com/download/data/3068",
                             "filename": "Basketballs",
                             "name": "Basketballs",
                             "use_first_row_for_vectorname": true
                         },
                         {
                             "description": "The Belmont Stakes is the last and longest of the three horse races that make up the Triple Crown. Curiously, in some of the Belmont races horses have run clockwise around the track, and in others they have run counterclockwise. Do the horses care? But note that the length of the race has also not been consistent. In fact, there have been five different lengths from 1.125 miles to 1.625 miles.",
                             "url": "https://dasl.datadescription.com/download/data/3072",
                             "filename": "Belmont-stakes-2015",
                             "name": "Belmont stakes 2015",
                             "use_first_row_for_vectorname": true
                         },
                         {
                             "description": "-",
                             "url": "https://dasl.datadescription.com/download/data/3151",
                             "filename": "Cyclists-2015",
                             "name": "Cyclists 2015",
                             "use_first_row_for_vectorname": true
                         },
                         {
                             "description": "-",
                             "url": "https://dasl.datadescription.com/download/data/3154",
                             "filename": "Darts",
                             "name": "Darts",
                             "use_first_row_for_vectorname": true
                         },
                         {
                             "description": "In the National league all players take a turn at bat. But in the American league, a \"designated hitter\" usually bats for the pitcher, who is likely not to be a strong batter. The theory is that a designated hitter will lead to more hits, more runs, and a higher-scoring game. The data give the average runs per game and total home runs for major league baseball teams during the 2012 season. Is there a discernible difference between the leagues?",
                             "url": "https://dasl.datadescription.com/download/data/3159",
                             "filename": "Designated-hitter-2012",
                             "name": "Designated hitter 2012",
                             "use_first_row_for_vectorname": true
                         },
                         {
                             "description": "Motorcycles designed to run off-road, often known as dirt bikes, are specialized\nvehicles. The dataset holds data on 114 many attributes of dirt bikes.\nSome cost as little as\n$1399, while others are substantially more expensive. One interest is in building a model to predict the price of a dirt bike from attributes of the bikes.",
                             "url": "https://dasl.datadescription.com/download/data/3166",
                             "filename": "Dirt-bikes",
                             "name": "Dirt bikes 2014",
                             "use_first_row_for_vectorname": true
                         },
                         {
                             "description": "A leading manufacturer of exercise\nequipment wanted to collect data on the effectiveness of\ntheir equipment. An August 2001 article in the journal\nMedicine and Science in Sports and Exercise compared how\nlong it would take men and women to burn 200 calories\nduring light or heavy workouts on various kinds of exercise\nequipment. The results summarized in the table are the average\ntimes for a group of physically active young men and\nwomen whose performances were measured on a representative\nsample of exercise equipment.",
                             "url": "https://dasl.datadescription.com/download/data/3195",
                             "filename": "Exercise-equipment",
                             "name": "Exercise equipment",
                             "use_first_row_for_vectorname": true
                         },
                         {
                             "description": "Football owners are constantly in competition for good players. The more wins, the more likely that the team will provide good business returns for the owners. The resources that each of the 32 teams has in the National Football League (NFL) vary, but the draft system is designed to counteract the advantages that wealthier teams may have.",
                             "url": "https://dasl.datadescription.com/download/data/3214",
                             "filename": "Football-salaries-2017",
                             "name": "Football salaries 2017",
                             "use_first_row_for_vectorname": true
                         },
                         {
                             "description": "A student performed an experiment with three different grips to see what effect it might have on the distance of a backhanded Frisbee throw. She tried it with her normal grip, with one finger out, and with the Frisbee inverted. She measured in paces how far her throws went.",
                             "url": "https://dasl.datadescription.com/download/data/3221",
                             "filename": "Frisbee-throws",
                             "name": "Frisbee throws",
                             "use_first_row_for_vectorname": true
                         },
                         {
                             "description": "Golf courses",
                             "url": "https://dasl.datadescription.com/download/data/3245",
                             "filename": "Golf-courses",
                             "name": "Golf courses",
                             "use_first_row_for_vectorname": true
                         },
                         {
                             "description": "The average drive distance (in yards) for 199 professional golfers during a week on the men's PGA tour in 2015.",
                             "url": "https://dasl.datadescription.com/download/data/3246",
                             "filename": "Golf-drives-2015",
                             "name": "Golf drives 2015",
                             "use_first_row_for_vectorname": true
                         },
                         {
                             "description": "Golfers 2017.",
                             "url": "https://dasl.datadescription.com/download/data/3244",
                             "filename": "Golfers-2017",
                             "name": "Golfers 2017",
                             "use_first_row_for_vectorname": true
                         },
                         {
                             "description": "The 2.5-mile Indianapolis Motor Speedway has\nbeen the home to a race on Memorial Day nearly every year\nsince 1911. Even during the first race, there were controversies.\nRalph Mulford was given the checkered flag first but took three\nextra laps just to make sure he'd completed 500 miles. When he\nfinished, another driver, Ray Harroun, was being presented with\nthe winner's trophy, and Mulford's protests were ignored. Harroun\naveraged 74.6 mph for the 500 miles. In 2013, the winner,\nTony Kanaan, averaged over 187 mph, beating the previous record\nby over 17 mph!",
                             "url": "https://dasl.datadescription.com/download/data/3288",
                             "filename": "Indy-2016",
                             "name": "Indy 500 2016",
                             "use_first_row_for_vectorname": true
                         },
                         {
                             "description": "The 2.5-mile Indianapolis Motor Speedway has\nbeen the home to a race on Memorial Day nearly every year\nsince 1911. Even during the first race, there were controversies.\nRalph Mulford was given the checkered flag first but took three\nextra laps just to make sure he'd completed 500 miles. When he\nfinished, another driver, Ray Harroun, was being presented with\nthe winner's trophy, and Mulford's protests were ignored. Harroun\naveraged 74.6 mph for the 500 miles. In 2013, the winner,\nTony Kanaan, averaged over 187 mph, beating the previous record\nby over 17 mph!",
                             "url": "https://dasl.datadescription.com/download/data/3289",
                             "filename": "Indy-2017",
                             "name": "Indy 500 2017",
                             "use_first_row_for_vectorname": true
                         },
                         {
                             "description": "The 2.5-mile Indianapolis Motor Speedway has\nbeen the home to a race on Memorial Day nearly every year\nsince 1911. Even during the first race, there were controversies.\nRalph Mulford was given the checkered flag first but took three\nextra laps just to make sure he'd completed 500 miles. When he\nfinished, another driver, Ray Harroun, was being presented with\nthe winner's trophy, and Mulford's protests were ignored. Harroun\naveraged 74.6 mph for the 500 miles. In 2013, the winner,\nTony Kanaan, averaged over 187 mph, beating the previous record\nby over 17 mph!",
                             "url": "https://dasl.datadescription.com/download/data/3290",
                             "filename": "Indy-2018",
                             "name": "Indy 500 2018",
                             "use_first_row_for_vectorname": true
                         },
                         {
                             "description": "The Kentucky Derby is a horse race\nthat has been run every year since 1875 at Churchill Downs\nin Louisville, Kentucky. The race started as a 1.5-mile race,\nbut in 1896, it was shortened to 1.25 miles because experts\nfelt that 3-year-old horses shouldn't run such a long race that\nearly in the season. (It has been run in May every year but\none - 1901 - when it took place on April 29.)",
                             "url": "https://dasl.datadescription.com/download/data/3305",
                             "filename": "Kentucky-Derby-2016",
                             "name": "Kentucky Derby 2016",
                             "use_first_row_for_vectorname": true
                         },
                         {
                             "description": "The Kentucky Derby is a horse race\nthat has been run every year since 1875 at Churchill Downs\nin Louisville, Kentucky. The race started as a 1.5-mile race,\nbut in 1896, it was shortened to 1.25 miles because experts\nfelt that 3-year-old horses shouldn't run such a long race that\nearly in the season. (It has been run in May every year but\none - 1901 - when it took place on April 29.)",
                             "url": "https://dasl.datadescription.com/download/data/3306",
                             "filename": "Kentucky-Derby-2017",
                             "name": "Kentucky Derby 2017",
                             "use_first_row_for_vectorname": true
                         },
                         {
                             "description": "The Kentucky Derby is a horse race\nthat has been run every year since 1875 at Churchill Downs\nin Louisville, Kentucky. The race started as a 1.5-mile race,\nbut in 1896, it was shortened to 1.25 miles because experts\nfelt that 3-year-old horses shouldn't run such a long race that\nearly in the season. (It has been run in May every year but\none - 1901 - when it took place on April 29.)",
                             "url": "https://dasl.datadescription.com/download/data/3307",
                             "filename": "Kentucky-Derby-2018",
                             "name": "Kentucky Derby 2018",
                             "use_first_row_for_vectorname": true
                         },
                         {
                             "description": "NY Marathon 2016",
                             "url": "https://dasl.datadescription.com/download/data/3370",
                             "filename": "NY-Marathon-2016",
                             "name": "NY Marathon 2016",
                             "use_first_row_for_vectorname": true
                         },
                         {
                             "description": "How are Olympic performances in various events related? The data gives winning long-jump and high-jump distances in meters, for the Summer Olympics from 1912 through 2016.",
                             "url": "https://dasl.datadescription.com/download/data/3382",
                             "filename": "Olympic-jumps-2016",
                             "name": "Olympic jumps 2016",
                             "use_first_row_for_vectorname": true
                         },
                         {
                             "description": "NFL data from the 2015 football season reported the number of yards gained by each of the league's 488 receivers.",
                             "url": "https://dasl.datadescription.com/download/data/3425",
                             "filename": "Receivers-2015",
                             "name": "Receivers 2015",
                             "use_first_row_for_vectorname": true
                         },
                         {
                             "description": "Times (in minutes) for one runner to run 4 miles on various courses during a 10-year period.",
                             "url": "https://dasl.datadescription.com/download/data/3433",
                             "filename": "Run-times",
                             "name": "Run times",
                             "use_first_row_for_vectorname": true
                         },
                         {
                             "description": "Hill races are races that climb generally steep hills, held throughout Scotland throughout the year. The file holds records for men and women in these races the last time those were posted in an accessible table along with facts about the races. In particular, we know the length(km) and total climb(m). These are two independent predictors of the record times. Sex of the runner can be an additional indicator variable.",
                             "url": "https://dasl.datadescription.com/download/data/3440",
                             "filename": "Scottish-Hill-Races",
                             "name": "Scottish Hill Races",
                             "use_first_row_for_vectorname": true
                         },
                         {
                             "description": "A college hockey coach collected data from the 2016-2017 National Hockey League season. He hopes to convince his players that the number of shots taken has an effect on the number of goals scored. The data includes both offensive and defensive players.",
                             "url": "https://dasl.datadescription.com/download/data/3448",
                             "filename": "Shoot-to-Score-2016",
                             "name": "Shoot to Score 2016",
                             "use_first_row_for_vectorname": true
                         },
                         {
                             "description": "Bjork Larsen was trying to decide whether to use a\nnew racing wax for cross-country skis. He decided that the\nwax would be worth the price if he could average less than\n55 seconds on a course he knew well, so he planned to study\nthe wax by racing on the course 8 times. The data report his race times.",
                             "url": "https://dasl.datadescription.com/download/data/3450",
                             "filename": "Ski-wax",
                             "name": "Ski wax",
                             "use_first_row_for_vectorname": true
                         },
                         {
                             "description": "The Men's Giant Slalom skiing event consists of two runs whose times are added together for a final score. The data give the giant slalom times in the 2014 Winter Olympics at Sochi.",
                             "url": "https://dasl.datadescription.com/download/data/3451",
                             "filename": "Slalom-times-2014",
                             "name": "Slalom times 2014",
                             "use_first_row_for_vectorname": true
                         },
                         {
                             "description": "The Men's Giant Slalom skiing event consists of two runs whose times are added together for a final score. The data give the giant slalom times in the 2018 Winter Olympics at PyeongChang.",
                             "url": "https://dasl.datadescription.com/download/data/3452",
                             "filename": "Slalom-times-2018",
                             "name": "Slalom times 2018",
                             "use_first_row_for_vectorname": true
                         },
                         {
                             "description": "Advertisements for an instructional video claim that the techniques will improve the ability of Little League pitchers to throw strikes and that, after undergoing the training, players will be able to throw strikes on at least 60% of their pitches. To test this claim, we have 20 Little Leaguers throw 50 pitches each, and we record the number of strikes. After the players participate in the training program, we repeat the test. The table shows the number of strikes each player threw before and after the training.",
                             "url": "https://dasl.datadescription.com/download/data/3464",
                             "filename": "Strikes",
                             "name": "Strikes",
                             "use_first_row_for_vectorname": true
                         },
                         {
                             "description": "Fifty nine countries won gold medals in the 2016 Summer Olympics. The dataset lists them, along with the total number of gold medals each won. It can be a challenge to find a good display for data like these.",
                             "url": "https://dasl.datadescription.com/download/data/3468",
                             "filename": "Summer-Olympics-2016",
                             "name": "Summer Olympics 2016",
                             "use_first_row_for_vectorname": true
                         },
                         {
                             "description": "Super Bowl 2016.",
                             "url": "https://dasl.datadescription.com/download/data/3470",
                             "filename": "Super-Bowl-2016",
                             "name": "Super Bowl 2016",
                             "use_first_row_for_vectorname": true
                         },
                         {
                             "description": "Swim and Run.",
                             "url": "https://dasl.datadescription.com/download/data/3577",
                             "filename": "Swim-Run",
                             "name": "Swim and Run",
                             "use_first_row_for_vectorname": true
                         },
                         {
                             "description": "People swim across Lake Ontario from Niagara on the Lake to Toronto-a distance of 52 km (32,3 miles). Because the lake is fresh water, this swim is considered more difficult than ocean swims of similar length because salt water provides more boyancy than fresh water. (For comparison, the English Channel is 21 miles across and, despite strong currents, generally takes less time to cross.)",
                             "url": "https://dasl.datadescription.com/download/data/3473",
                             "filename": "Swim-lake",
                             "name": "Swim the lake 2016",
                             "use_first_row_for_vectorname": true
                         },
                         {
                             "description": "Unlike track events, swimming heats are not determined at random. Instead, swimmers are seeded so that better swimmers are placed in later heats. Here are the times (in seconds) for the women's 400-m freestyle for two heats in the 2016 Olympics.",
                             "url": "https://dasl.datadescription.com/download/data/3471",
                             "filename": "Swimming-heats",
                             "name": "Swimming heats 2016",
                             "use_first_row_for_vectorname": true
                         },
                         {
                             "description": "Swimming heats London",
                             "url": "https://dasl.datadescription.com/download/data/3472",
                             "filename": "Swimming-heats-London",
                             "name": "Swimming heats London",
                             "use_first_row_for_vectorname": true
                         },
                         {
                             "description": "The Tour de France is the most famous bicycle race in the world. It has been run every year since 1903, except for a few during wars. The data report facts about the winners including age, time, distance, and average speed. Lance Armstrong's 7 consecutive victories been disqualified due to the use of performance-enhancing drugs, but his statistics are still included here.",
                             "url": "https://dasl.datadescription.com/download/data/3489",
                             "filename": "Tour-de-France-2016",
                             "name": "Tour de France 2016",
                             "use_first_row_for_vectorname": true
                         },
                         {
                             "description": "The Tour de France is the most famous bicycle race in the world. It has been run every year since 1903, except for a few during wars. The data report facts about the winners including age, time, distance, and average speed. Lance Armstrong's 7 consecutive victories been disqualified due to the use of performance-enhancing drugs, but his statistics are still included here.",
                             "url": "https://dasl.datadescription.com/download/data/3490",
                             "filename": "Tour-de-France-2017",
                             "name": "Tour de France 2017",
                             "use_first_row_for_vectorname": true
                         },
                         {
                             "description": "The Gallup poll asked 1008 Americans age 18 and over whether they planned to watch the upcoming Super Bowl. The pollster also asked those who planned to watch whether they were looking forward more to seeing the football game or the commercials.",
                             "url": "https://dasl.datadescription.com/download/data/3516",
                             "filename": "Watch-Super-bowl",
                             "name": "Watch the Super bowl",
                             "use_first_row_for_vectorname": true
                         },
                         {
                             "description": "The world men's weightlifting records are categorized by weight class of the competitors. How does the weight class relate to the record?",
                             "url": "https://dasl.datadescription.com/download/data/3520",
                             "filename": "Weightlifting-2016",
                             "name": "Weightlifting 2016",
                             "use_first_row_for_vectorname": true
                         },
                         {
                             "description": "The Boston Marathon has had a wheelchair division since 1977.\nWho do you think\nis typically faster, the men's marathon winner on foot\nor the women's wheelchair marathon winner? Because\nthe conditions differ from year to year, and speeds have\nimproved over the years, it seems best to treat these as\npaired measurements. Here are summary statistics for\nthe pairwise differences in finishing time (in minutes).",
                             "url": "https://dasl.datadescription.com/download/data/3521",
                             "filename": "Wheelchair-Marathon",
                             "name": "Wheelchair Marathon 2016",
                             "use_first_row_for_vectorname": true
                         },
                         {
                             "description": "The Sears Cup was established in 1993\nto honor institutions that maintain a broad-based athletic\nprogram, achieving success in many sports, both men's and\nwomen's. In the years following its Division III inception in\n1995, the cup was won by Williams College 15 of 17 years.\nWhy did the football team win so much? Was it because\nthey were heavier than their opponents? The data gives the\naverage team weights for selected years from 1973 to 1993.",
                             "url": "https://dasl.datadescription.com/download/data/3525",
                             "filename": "Williams-football",
                             "name": "Williams football",
                             "use_first_row_for_vectorname": true
                         },
                         {
                             "description": "The times from the first race of the women's 2 X 500-m speed skating times at the 2010 Winter Olympics in Vancouver, B.C. are given.",
                             "url": "https://dasl.datadescription.com/download/data/3530",
                             "filename": "speed-skating",
                             "name": "Winter Olympics 2010 speed skating",
                             "use_first_row_for_vectorname": true
                         },
                         {
                             "description": "Source: https://www.olympic.org/sochi-2014/alpine-skiing/slalom-men",
                             "url": "https://dasl.datadescription.com/download/data/3531",
                             "filename": "Winter-Olympics-2014",
                             "name": "Winter Olympics 2014",
                             "use_first_row_for_vectorname": true
                         },
                         {
                             "description": "53 men completed the men's alpine downhill. The gold medal winner finished in 100.25 seconds. Here are the times (in seconds) for all competitors.",
                             "url": "https://dasl.datadescription.com/download/data/3532",
                             "filename": "olympics-downhill",
                             "name": "Winter olympics 2018 downhill",
                             "use_first_row_for_vectorname": true
                         },
                         {
                             "description": "he women's heptathlon in the Olympics consists of seven track-and-field events: the 200 m and 800 m runs, 100 m high hurdles, shot put, javelin, high jump, and long jump. Each contestant is awarded points for each event based on her performance. So, which performance deserves more points? It's not clear how to compare them. They aren't measured in the same units, or even in the same direction (longer jumps are better but shorter times are better.)",
                             "url": "https://dasl.datadescription.com/download/data/3536",
                             "filename": "Womens-Heptathlon",
                             "name": "Womens Heptathlon 2016",
                             "use_first_row_for_vectorname": true
                         },
                         {
                             "description": "The Women's 500 metres in short track speed skating at the 2018 Winter Olympics took place from 10 to 13 February 2018 at the Gangneung Ice Arena in Gangneung, South Korea.The defending champion from 2014, Li Jianrou, had retired, but the 2014 silver medalist Arianna Fontana competed and eventually won the event.",
                             "url": "https://dasl.datadescription.com/download/data/3537",
                             "filename": "Womens-short-track",
                             "name": "Womens short track 2018",
                             "use_first_row_for_vectorname": true
                         },
                         {
                             "description": "The women's 1500 metres speed skating competition for the 2006 Winter Olympics was held in Turin, Italy, on 22 February.",
                             "url": "https://dasl.datadescription.com/download/data/3538",
                             "filename": "Womens-speed-skating",
                             "name": "Womens speed skating 2006",
                             "use_first_row_for_vectorname": true
                         }
                     ],
                     "name": "Sport"
                 },
                 {
                     "datasets": [
                         {
                             "description": "Progressive Insurance asked customers who had been involved in auto accidents how far they were from home when the accident happened.",
                             "url": "https://dasl.datadescription.com/download/data/3039",
                             "filename": "accidents",
                             "name": "Accidents",
                             "use_first_row_for_vectorname": true
                         },
                         {
                             "description": "At a barbershop music singing competition, choruses are judged on three scales: Music (quality of the arrangement, etc.), Performance, and Singing. The scales are supposed to be independent of each other, and each is scored by a different judge, but a friend claims that he can predict a chorus's singing score from the other two scores. Are the scores really independent?",
                             "url": "https://dasl.datadescription.com/download/data/3061",
                             "filename": "Barbershop-music",
                             "name": "Barbershop music",
                             "use_first_row_for_vectorname": true
                         },
                         {
                             "description": "In 2016 13.27 million people attended a Broadway show, paying an average of more than $100 per ticket. The Broadway League, Inc. (https://www.broadwayleague.com/research/statistics-broadway-nyc/) provides some historical and current data. These variables are available for each year since the 1984-85 season: Season (The initial year of the season, so the 1984-85 season is 1984.) Gross ($M) Attendance (M) Note: before 2009 this is Paid Attendance. Beginning 2009 it is Attendance.) Playing weeks (Total weeks during each show performed summed over all shows; the best measure of Broadway’s overall activity.)",
                             "url": "https://dasl.datadescription.com/download/data/3087",
                             "filename": "Broadway-shows",
                             "name": "Broadway shows",
                             "use_first_row_for_vectorname": true
                         },
                         {
                             "description": "Fast food is often considered unhealthy because much of it is high in both fat and sodium. But are the two related? The data give the fat and sodium contents of several brands of burgers.",
                             "url": "https://dasl.datadescription.com/download/data/3088",
                             "filename": "Burgers",
                             "name": "Burgers",
                             "use_first_row_for_vectorname": true
                         },
                         {
                             "description": "The dataset holds facts about candy bars read from their nutrition labels. The data are a good example for multiple regression (e.g. what contributes to the calories of a candy bar?). For such an analysis, the indicator variable for nuts appears to work well. Note that 5 sugar-free candy bars are marked as NA in the sugar variable to remove them from analyses using sugar. The data have been standardized on a per serving basis to equalize for different serving sizes.",
                             "url": "https://dasl.datadescription.com/download/data/3092",
                             "filename": "Candy-bars",
                             "name": "Candy bars",
                             "use_first_row_for_vectorname": true
                         },
                         {
                             "description": "In 1998, as an advertising campaign, the Nabisco Company announced a \"1000 Chips Challenge\", claiming that every 18-ounce bag of their Chips Ahoy! cookies contained at least 1000 chocolate chips. Dedicated statistics students at the Air Force Academy randomly selected bags of cookies and counted the chocolate chips. The data report their counts.",
                             "url": "https://dasl.datadescription.com/download/data/3110",
                             "filename": "Chips-Ahoy",
                             "name": "Chips Ahoy!",
                             "use_first_row_for_vectorname": true
                         },
                         {
                             "description": "The website rcdb.com, the Roller Coaster Database, holds facts about every roller coaster in the world, current or past. (If you know of one that is missing, please let the site master know.) These data are for recently opened coasters, most of which are still in operation.",
                             "url": "https://dasl.datadescription.com/download/data/3118",
                             "filename": "Coasters-2015",
                             "name": "Coasters 2015",
                             "use_first_row_for_vectorname": true
                         },
                         {
                             "description": "The data are drawn from the work of O. M. Latter in 1902 and were used in a fundamental textbook on statistical quality control by L. H. C. Tippett (1902-1985), one of the pioneers in that field.",
                             "url": "https://dasl.datadescription.com/download/data/3149",
                             "filename": "Cuckoos-and-quality-control",
                             "name": "Cuckoos and quality control",
                             "use_first_row_for_vectorname": true
                         },
                         {
                             "description": "The data are from a production process that makes 250 units each hour. The data were collected over a normal 12-hour shift one day.",
                             "url": "https://dasl.datadescription.com/download/data/3155",
                             "filename": "Defect-monitoring",
                             "name": "Defect monitoring",
                             "use_first_row_for_vectorname": true
                         },
                         {
                             "description": "The data are from a production process that makes 250 units each hour. The data were collected over a normal 12-hour shift one day.",
                             "url": "https://dasl.datadescription.com/download/data/3156",
                             "filename": "Defect-monitoring_",
                             "name": "Defect monitoring second product",
                             "use_first_row_for_vectorname": true
                         },
                         {
                             "description": "Some students checked 6 bags of Doritos marked with a net weight of 28.3 grams. They carefully weighed the contents of each bag and recorded the weights in grams.",
                             "url": "https://dasl.datadescription.com/download/data/3171",
                             "filename": "Doritos",
                             "name": "Doritos",
                             "use_first_row_for_vectorname": true
                         },
                         {
                             "description": "A student wants to investigate the effects of real vs.\nsubstitute eggs on his favorite brownie recipe. He enlists the\nhelp of 10 friends and asks them to rank each of 8 batches\non a scale from 1 to 10. Four of the batches were made with\nreal eggs, four with substitute eggs. The judges tasted the\nbrownies in random order.",
                             "url": "https://dasl.datadescription.com/download/data/3185",
                             "filename": "Eggs",
                             "name": "Eggs",
                             "use_first_row_for_vectorname": true
                         },
                         {
                             "description": "Many people fear Friday the 13th as an unlucky day. Researchers looked into this to see whether there were differences in traffic or in admissions to hospitals for road accidents on Friday 13th when compared with the adjacent Friday 6th.",
                             "url": "https://dasl.datadescription.com/download/data/3219",
                             "filename": "Friday-13-Accidents",
                             "name": "Friday the 13th Accidents",
                             "use_first_row_for_vectorname": true
                         },
                         {
                             "description": "As a project for an Introductory Statistics course, students checked 6 bags of Fritos marked with a net weight of 35.4 grams. They carefully weighed the contents of each bag, recording the weights (in grams).",
                             "url": "https://dasl.datadescription.com/download/data/3222",
                             "filename": "Fritos",
                             "name": "Fritos",
                             "use_first_row_for_vectorname": true
                         },
                         {
                             "description": "The movie Harry Potter and the Sorcerer's Stone opened as a great success. But every movie sees declining revenue over time. The dataset gives the daily revenues for the movie during its first 17 days.",
                             "url": "https://dasl.datadescription.com/download/data/3256",
                             "filename": "Harry-Potter-revenue",
                             "name": "Harry Potter revenue",
                             "use_first_row_for_vectorname": true
                         },
                         {
                             "description": "Is the Statue of Liberty's nose too long? Her nose measures 4'6'', but she is a large statue, after all. Her arm is 42 feet long. That means her arm is 42/4.5 = 9.3 times as long as her nose. Is that a reasonable ratio? The data give arm and nose lengths of 18 girls.",
                             "url": "https://dasl.datadescription.com/download/data/3311",
                             "filename": "Libertys-nose",
                             "name": "Libertys nose",
                             "use_first_row_for_vectorname": true
                         },
                         {
                             "description": "Lottery numbers",
                             "url": "https://dasl.datadescription.com/download/data/3318",
                             "filename": "Lottery-numbers",
                             "name": "Lottery numbers",
                             "use_first_row_for_vectorname": true
                         },
                         {
                             "description": "Loyalty program",
                             "url": "https://dasl.datadescription.com/download/data/3319",
                             "filename": "Loyalty-program",
                             "name": "Loyalty program",
                             "use_first_row_for_vectorname": true
                         },
                         {
                             "description": "Movie lengths 2010",
                             "url": "https://dasl.datadescription.com/download/data/3348",
                             "filename": "Movie-lengths-2010",
                             "name": "Movie lengths 2010",
                             "use_first_row_for_vectorname": true
                         },
                         {
                             "description": "Students in an introductory statistics course were asked how many songs they had in their digital music library.",
                             "url": "https://dasl.datadescription.com/download/data/3352",
                             "filename": "Music-library",
                             "name": "Music library",
                             "use_first_row_for_vectorname": true
                         },
                         {
                             "description": "New York State inspectors assess all bridges in the state every two years including a bridge's individual parts. Bridges are analyzed for their capacity to carry vehicular loads. Inspectors are required to evaluate, assign a condition score, and document the condition of up to 47 structural elements, including rating 25 components of each span of a bridge, in addition to general components common to all bridges. The NYSDOT condition rating scale ranges from 1 to 7, with 7 being in new condition and a rating of 5 or greater considered as good conditionBridges that cannot safely carry heavy vehicles, such as some tractor trailers, are posted with weight limits. Based upon inspection and load capacity analysis, any bridge deemed unsafe gets closed.\nHow does the condition of the bridge relate to its age? Are there any outliers? Can you account for them by identifying them?",
                             "url": "https://dasl.datadescription.com/download/data/3364",
                             "filename": "New-York-bridges-2016",
                             "name": "New York bridges 2016",
                             "use_first_row_for_vectorname": true
                         },
                         {
                             "description": "The GfK Roper Reports' Worldwide Survey asked 30,000 consumers in 23 countries about their attitudes on health, beauty, and other personal values. One question participants were asked was how important their personal appearance is to them. The data are a contingency table of responses to this question by age decade.",
                             "url": "https://dasl.datadescription.com/download/data/3392",
                             "filename": "Personal-appearance",
                             "name": "Personal appearance",
                             "use_first_row_for_vectorname": true
                         },
                         {
                             "description": "BYU Human Performance Research Center http://www.byu.edu/chhp/intro.html#lrc Director: Mark Ricard 116A RB, (801) 378-8958",
                             "url": "https://dasl.datadescription.com/download/data/3445",
                             "filename": "Shirt-sizes",
                             "name": "Shirt sizes",
                             "use_first_row_for_vectorname": true
                         },
                         {
                             "description": "A last is a form, traditionally made of wood, in the\nshape of the human foot. Lasts of various sizes are used by\nshoemakers to make shoes. In the United States, shoe sizes are\ndefined differently for men and women:\nU.S. men's shoe size = (last size in inches * 3) - 24\nU.S. women's shoe size = (last size in inches * 3) - 22.5\nBut in Europe, they are both: Euro size = last size in cm * 3/2\nThe data give the European shoe sizes of 269 college\nstudents (converted from their reported U.S. shoe sizes.)",
                             "url": "https://dasl.datadescription.com/download/data/3447",
                             "filename": "Shoe-Sizes",
                             "name": "Shoe Sizes",
                             "use_first_row_for_vectorname": true
                         },
                         {
                             "description": "The dataset gives the heights (in inches) of 130 members of a choir and the part they sing. Note that Sopranos and Altos are typically women and Tenors and Basses are typically men.",
                             "url": "https://dasl.datadescription.com/download/data/3449",
                             "filename": "Singers-by-parts",
                             "name": "Singers by parts",
                             "use_first_row_for_vectorname": true
                         },
                         {
                             "description": "Sugar is a major ingredient in many breakfast cereals. The data gives the sugar content as a percentage of weight for 49 brands of cereal. Data were collected from nutrition labels in a supermarket.",
                             "url": "https://dasl.datadescription.com/download/data/3467",
                             "filename": "Sugar-cereal",
                             "name": "Sugar in cereal",
                             "use_first_row_for_vectorname": true
                         },
                         {
                             "description": "The data give counts of 626 individuals categorized according to their \"tattoo status\" and their \"hepatitis status\". Is there a relationship?",
                             "url": "https://dasl.datadescription.com/download/data/3476",
                             "filename": "Tattoos",
                             "name": "Tattoos",
                             "use_first_row_for_vectorname": true
                         },
                         {
                             "description": "A bank is studying the time that it takes 6 of its tellers to serve an average customer. Customers line up in the queue and then go to the next available teller. Is there a difference? Can we pick out the best or worst performing teller?",
                             "url": "https://dasl.datadescription.com/download/data/3478",
                             "filename": "Tellers",
                             "name": "Tellers",
                             "use_first_row_for_vectorname": true
                         },
                         {
                             "description": "Since 1994, the Best Roller Coaster Poll (www. ushsho.com/bestrollercoasterpoll.htm) has been ranking the world's best roller coasters. In 2013, Bizarro dropped to 4th after earning the top steel coaster rank for six straight years. Data on the top 14 steel coasters from this poll are given.",
                             "url": "https://dasl.datadescription.com/download/data/3481",
                             "filename": "Thrills-2013",
                             "name": "Thrills 2013",
                             "use_first_row_for_vectorname": true
                         },
                         {
                             "description": "The Minnesota Department of Transportation\nhoped that they could measure the weights of big trucks without\nactually stopping the vehicles by using a newly developed\n\"weight-in-motion\" scale. To see if the new device was accurate,\nthey conducted a calibration test. They weighed several stopped\ntrucks (Static Weight) and assumed that this weight was correct.\nThen they weighed the trucks again while they were moving to\nsee how well the new scale could estimate the actual weight.",
                             "url": "https://dasl.datadescription.com/download/data/3512",
                             "filename": "Vehicle-weights",
                             "name": "Vehicle weights",
                             "use_first_row_for_vectorname": true
                         },
                         {
                             "description": "Washing",
                             "url": "https://dasl.datadescription.com/download/data/3515",
                             "filename": "Washing",
                             "name": "Washing",
                             "use_first_row_for_vectorname": true
                         },
                         {
                             "description": "Consumer Reports tested 11 brands of vanilla yogurt and found these numbers of calories per serving.",
                             "url": "https://dasl.datadescription.com/download/data/3544",
                             "filename": "Yogurt_",
                             "name": "Yogurt",
                             "use_first_row_for_vectorname": true
                         },
                         {
                             "description": "Yogurt flavors",
                             "url": "https://dasl.datadescription.com/download/data/3545",
                             "filename": "Yogurt-flavors",
                             "name": "Yogurt flavors",
                             "use_first_row_for_vectorname": true
                         }
                     ],
                     "name": "Other"
                 },
                 {
                     "datasets": [
                         {
                             "description": "The data give the number of deaths in prison custody in Australia in each of the six years 1990 to 1995, given separately for Aboriginal and Torres Strait Islanders (indigenous) and others (non-indigenous). \n\n\n\n\nVariable \n\nDescription\n\n\n\n\nYear\n\n1990 through 1995\n\nIndigenous\n\nYes = Aboriginal or Torres Strait Islander, No = Non-indigenous\n\nPrisoners\n\nTotal number in prison custody\n\nDeaths\n\nNumber of deaths in prison custody\n\nPopulation\n\nAdult population (15+ years)\n\n\n\n\nThe data were collected in response to the Royal Commission into Aboriginal Deaths in Custody, the final report of which was tabled in the Federal Parliament on the 9 May 1991. \nThe report of the Royal Commission has two streams. One is concerned with the ninety-nine Aboriginal and Torres Strait Islander deaths in custody which occurred throughout Australia during the period 1 January 1980 to 31 May 1989. Issues around the causes of death, culpability of custodians and their employers, and the prevention of future deaths were addressed in depth. The second stream concerned what the Royal Commission called the 'underlying issues': the social, cultural, and legal factors which, in the view of the Commissioners, had some bearing on the deaths. These underlying issues, as revealed from the chapter headings of the Royal Commission's National Report, included the Legacy of History, Aboriginal Society Today, Relations With the Non-Aboriginal Community, The Harmful Use of Alcohol and Other Drugs, Schooling, Employment, Unemployment and Poverty, Housing and Infrastructure, Land Needs, and Self-determination. \nThe link between the Royal Commission's discussion of the individual deaths investigated, the prevention of future deaths and the underlying issues, is its position on the over-representation of Indigenous people in custody in Australia. A central conclusion of the Royal Commission, illustrating this point, was as follows: \nThe work of the commission has established that Aboriginal people in custody do not die at a greater rate than non-Aboriginal people in custody. \nHowever, what is overwhelming different is the rate at which Aboriginal people come into custody, compared with the rate of the general community ... The ninety-nine who died in custody illustrate that over-representation and, in a sense, are the victims of it. \nThe conclusions are clear. Aboriginal people die in custody at a rate relevant to their proportion of the whole population which is totally unacceptable and which would not be tolerated if it occurred in the non-Aboriginal community. But this occurs not because Aboriginal people in custody are more likely to die than others in custody, but because the Aboriginal population is grossly over-represented in custody. Too many Aboriginal people are in custody too often (Johnston, 1991, Vol 1, p6).",
                             "url": "http://www.statsci.org/data/oz/custody.txt",
                             "filename": "custody",
                             "name": "Aboriginal Deaths in Custody",
                             "use_first_row_for_vectorname": true
                         },
                         {
                             "description": "Facts on the countries of Asia. \n\n\n\n\nVariable \n\nDescription\n\n\n\n\nCountry \n\nName\n\nArea \n\nTotal area (sq km)\n\nPopulation \n\nPopulation July 1995 est.\n\nLife \n\nLife Expectancy 1995 est. (years)\n\nGDP \n\nGDP 1994 (US$ billions)\n\nGDP/caput \n\nGDP per person 1994 est (US$)\n\n\n\n",
                             "url": "http://www.statsci.org/data/oz/asia.txt",
                             "filename": "asia",
                             "name": "Countries of Asia",
                             "use_first_row_for_vectorname": true
                         },
                         {
                             "description": "The United States Census Bureau keeps track of the number of adoptions in each State (and Washington D.C.). The data includes the population of each state as well. How should adoptions be summarized and displayed?",
                             "url": "https://dasl.datadescription.com/download/data/3043",
                             "filename": "Adoptions",
                             "name": "Adoptions",
                             "use_first_row_for_vectorname": true
                         },
                         {
                             "description": "-",
                             "url": "https://dasl.datadescription.com/download/data/3177",
                             "filename": "Drivers-Licenses-2014",
                             "name": "Drivers Licenses 2014",
                             "use_first_row_for_vectorname": true
                         },
                         {
                             "description": "Do flexible work schedules reduce the demand for resources? The Lake County, Illinois, Health Department experimented with a flexible four-day workweek. For a year, the department recorded the mileage driven by 11 field workers on an ordinary five-day workweek. Then it changed to a flexible four-day workweek and recorded mileage for another year.",
                             "url": "https://dasl.datadescription.com/download/data/3540",
                             "filename": "Work-week",
                             "name": "Work week",
                             "use_first_row_for_vectorname": true
                         }
                     ],
                     "name": "Administration"
                 },
                 {
                     "datasets": [
                         {
                             "description": "Commercial airlines overbook flights, selling more tickets than they have seats, because a sizeable number of reservation holders don't show up in time for their flights. But sometimes, there are more passengers wishing to board than there are seats. Most airlines try to entice travelers to voluntarily give up their seats in return for free travel or other awards, but they do have to \"bump\" some travelers involuntarily. Of course, they don’t like to offend passengers by bumping, so they are constantly trying to improve their systems for predicting how many passengers will show up. Have the rates of \"bumping\" changed? Here are data on the number of passengers involuntarily denied boarding (\"bumping\" is not the approved term) per 10,000 passengers during the periods of January to September in 2016 and 2017 by airline.",
                             "url": "https://dasl.datadescription.com/download/data/3048",
                             "filename": "Airline-bumping",
                             "name": "Airline bumping 2017",
                             "use_first_row_for_vectorname": true
                         },
                         {
                             "description": "https://www.albany.edu/sourcebook/csv/t3177.csv adapted from: U.S. Department of Transportation, Federal Aviation Administration, Semiannual Report to Congress on the Effectiveness of the Civil Aviation Security Program, July 1 to \"December 31, 1978, Exhibit 10; July 1 to December 31, 1982, Exhibit 10; July 1 to December 31, 1984, Exhibit 7; July 1 to December 31, 1989, p. 11 (Washington, DC: U.S. Department of Transportation); U.S. Department of Transportation, Federal Aviation Administration, Annual Report to Congress on Civil Aviation Security, January 1, 1993-December 31, 1993, p. 9; January 1, 1995-December 31, 1995, p. 11 (Washington, DC: U.S. Department of Transportation); and data provided by the U.S. Department of Transportation, Federal Aviation Administration and Bureau of Transportation Statistics [Online]. Available: http://www.bts.gov/publications/national_transportation_statistics/ 2003/html/table_02_16.html [May 24, 2004]. Table adapted by SOURCEBOOK staff.",
                             "url": "https://dasl.datadescription.com/download/data/3049",
                             "filename": "Airport-screening",
                             "name": "Airport screening",
                             "use_first_row_for_vectorname": true
                         },
                         {
                             "description": "The Bicycle Helmet Safety Institute website includes a report on the number of bicycle fatalities per year in the United States. The data gives the counts for the years 1994-2015.",
                             "url": "https://dasl.datadescription.com/download/data/3073",
                             "filename": "Bike-safety-2015",
                             "name": "Bike safety 2015",
                             "use_first_row_for_vectorname": true
                         },
                         {
                             "description": "The dataset is the number of camp sites at each of the public parks in Vermont ",
                             "url": "https://dasl.datadescription.com/download/data/3091",
                             "filename": "Camp-sites",
                             "name": "Camp sites",
                             "use_first_row_for_vectorname": true
                         },
                         {
                             "description": "The data give the number of domestic U.S. flights flown in each year from 2000 to 2016 ",
                             "url": "https://dasl.datadescription.com/download/data/3209",
                             "filename": "Flights-2016",
                             "name": "Flights 2016",
                             "use_first_row_for_vectorname": true
                         },
                         {
                             "description": "The Bureau of Transportation Statistics of the U.S. Department of Transportation publishes information about airline performance. The data report the percentage of flights departing on time each month from January 1994 through June 2016.",
                             "url": "https://dasl.datadescription.com/download/data/3210",
                             "filename": "Flights-on-time-2016",
                             "name": "Flights on time 2016",
                             "use_first_row_for_vectorname": true
                         },
                         {
                             "description": "Many people fear Friday the 13th as an unlucky day. Researchers looked into this to see whether there were differences in traffic or in admissions to hospitals for road accidents on Friday 13th when compared with the adjacent Friday 6th.",
                             "url": "https://dasl.datadescription.com/download/data/3220",
                             "filename": "Friday-13-traffic",
                             "name": "Friday the 13th traffic",
                             "use_first_row_for_vectorname": true
                         },
                         {
                             "description": "Many drivers of cars that can run on regular gas actually buy premium in the belief that they will get better gas mileage. To test that belief, we use 10 cars from a company fleet in which all the cars run on regular gas. Each car is filled first with either regular or premium gasoline, decided by a coin toss, and the mileage for that tankful is recorded. Then the mileage is recorded again for the same cars for a tankful of the other kind of gaso-line. We don't let the drivers know about this experiment.",
                             "url": "https://dasl.datadescription.com/download/data/3230",
                             "filename": "Gasoline__",
                             "name": "Gasoline",
                             "use_first_row_for_vectorname": true
                         },
                         {
                             "description": "Much of the public and private industry in Hawaii depends on tourism. The following time series plot shows the number of domestic visitors to Hawaii by air from the rest of the United States per month from January 2002 through December 2006 before the financial crisis of 2008.",
                             "url": "https://dasl.datadescription.com/download/data/3257",
                             "filename": "Hawaii-tourism",
                             "name": "Hawaii tourism",
                             "use_first_row_for_vectorname": true
                         },
                         {
                             "description": "The data report the percentage of flights that were late and the percentage that departed on time for each month from 1995 through early 2016.",
                             "url": "https://dasl.datadescription.com/download/data/3309",
                             "filename": "Late-arrivals-2016",
                             "name": "Late arrivals 2016",
                             "use_first_row_for_vectorname": true
                         },
                         {
                             "description": "The Research and Innovative Technology Administration of the Bureau of Transportation Statistics reports load factors (passenger-miles as a percentage of available seat miles) for commercial airlines for every month from October 2002 through 2017 for both domestic and international flights.",
                             "url": "https://dasl.datadescription.com/download/data/3315",
                             "filename": "Load-factors-2016",
                             "name": "Load factors 2016",
                             "use_first_row_for_vectorname": true
                         },
                         {
                             "description": "The Research and Innovative Technology Administration of the Bureau of Transportation Statistics reports load factors (passenger-miles as a percentage of available seat miles) for commercial airlines for every month from October 2002 through 2017 for both domestic and international flights.",
                             "url": "https://dasl.datadescription.com/download/data/3316",
                             "filename": "Load-factors-2017",
                             "name": "Load factors 2017",
                             "use_first_row_for_vectorname": true
                         },
                         {
                             "description": "The data give the number of passengers at Oakland (CA) airport month by month since 1997.",
                             "url": "https://dasl.datadescription.com/download/data/3371",
                             "filename": "Oakland-passengers-2016",
                             "name": "Oakland passengers 2016",
                             "use_first_row_for_vectorname": true
                         },
                         {
                             "description": "The National Highway Traffic Safety Administration reports seat belt use and fatalities in car accidents by state. How do fatalities relate to seat belt use?",
                             "url": "https://dasl.datadescription.com/download/data/3442",
                             "filename": "Seat-belts-2015",
                             "name": "Seat belts 2015",
                             "use_first_row_for_vectorname": true
                         },
                         {
                             "description": "The data report the density (cars per mile) and average speed of traffic on city highways. The data were collected at the same location at 10 different times randomly selected within a span of 3 months.",
                             "url": "https://dasl.datadescription.com/download/data/3560",
                             "filename": "Speed-density",
                             "name": "Speed and density",
                             "use_first_row_for_vectorname": true
                         },
                         {
                             "description": "A tire manufacturer tested the braking performance of one of its tire models on a test track. The company tried the tires on 10 different cars, recording the stopping distance for each car on both wet and dry pavement.",
                             "url": "https://dasl.datadescription.com/download/data/3460",
                             "filename": "Stopping-distance",
                             "name": "Stopping distance",
                             "use_first_row_for_vectorname": true
                         },
                         {
                             "description": "A tire manufacturer tested the braking performance of one of its tire models on a test track. The company tried the tires on 10 different cars, recording the stopping distance for each car on both wet and dry pavement from 60 miles per hour. The test was run on both dry and wet pavement. (The actual braking distance takes into account the driver's reaction time, which typically adds nearly 300 feet at 60 mph!)",
                             "url": "https://dasl.datadescription.com/download/data/3461",
                             "filename": "Stopping-distance-60",
                             "name": "Stopping distance 60",
                             "use_first_row_for_vectorname": true
                         },
                         {
                             "description": "Traffic fatalities in a variety of vehicles and for a variety of situations for the years from 1975 to 2013. These are multiple time series, but can also be related to each other.",
                             "url": "https://dasl.datadescription.com/download/data/3495",
                             "filename": "Traffic-fatalities",
                             "name": "Traffic fatalities 2013",
                             "use_first_row_for_vectorname": true
                         },
                         {
                             "description": "The U.S. Energy Information Administration (EIA) collects data on the total energy used per capita in transportation for each state and the District of Columbia. The data show the per capita consumption in the year 2015 in millions of BTU per person.",
                             "url": "https://dasl.datadescription.com/download/data/3496",
                             "filename": "Transportation-Energy",
                             "name": "Transportation Energy use",
                             "use_first_row_for_vectorname": true
                         },
                         {
                             "description": "U.S. Department of Transportation reports records of border crossings into each state on the U.S. border. Here are the border crossings by trucks for Alaska, recorded each month from 1999 through 2017.",
                             "url": "https://dasl.datadescription.com/download/data/3499",
                             "filename": "Trucks",
                             "name": "Trucks",
                             "use_first_row_for_vectorname": true
                         }
                     ],
                     "name": "Travel"
                 },
                 {
                     "datasets": [
                         {
                             "description": "A survey was conducted in the United States and 10 countries of Western Europe to determine the percentage of teenagers who had used marijuana and other drugs. The data give percentages of drug use by country.",
                             "url": "https://dasl.datadescription.com/download/data/3178",
                             "filename": "Drug-abuse",
                             "name": "Drug abuse",
                             "use_first_row_for_vectorname": true
                         },
                         {
                             "description": "The 2013 World Drug Report investigated the prevalence of drug use as a percentage of the population aged 15 to 64. Data from 32 European countries are shown.",
                             "url": "https://dasl.datadescription.com/download/data/3179",
                             "filename": "Drug-use-2013",
                             "name": "Drug use 2013",
                             "use_first_row_for_vectorname": true
                         },
                         {
                             "description": "Prisons 2014",
                             "url": "https://dasl.datadescription.com/download/data/3406",
                             "filename": "Prisons-2014",
                             "name": "Prisons 2014",
                             "use_first_row_for_vectorname": true
                         }
                     ],
                     "name": "Crime"
                 },
                 {
                     "datasets": [
                         {
                             "description": "The data are a random sample from the data in Population commute times.",
                             "url": "https://dasl.datadescription.com/download/data/3123",
                             "filename": "Commute-times-sample100",
                             "name": "Commute times sample100",
                             "use_first_row_for_vectorname": true
                         },
                         {
                             "description": "-",
                             "url": "https://dasl.datadescription.com/download/data/3137",
                             "filename": "Couples",
                             "name": "Couples",
                             "use_first_row_for_vectorname": true
                         },
                         {
                             "description": "Data give the mortality rate (deaths per 100,000 people) and the education level (average number of years in school) for 58 U.S. cities.",
                             "url": "https://dasl.datadescription.com/download/data/3183",
                             "filename": "Education-and-mortality",
                             "name": "Education and mortality",
                             "use_first_row_for_vectorname": true
                         },
                         {
                             "description": "Students in a large statistics class were asked to report the eye color and hair color. Is there an association?",
                             "url": "https://dasl.datadescription.com/download/data/3197",
                             "filename": "Eye-and-Hair-color",
                             "name": "Eye and Hair color",
                             "use_first_row_for_vectorname": true
                         },
                         {
                             "description": "Eurostat, an agency of the European Union (EU), conducts surveys on several aspects of daily life in EU countries. Recently, the agency asked samples of 1000 respondents in each of 14 European countries whether they read the newspaper on a daily basis.",
                             "url": "https://dasl.datadescription.com/download/data/3363",
                             "filename": "Newspapers",
                             "name": "Newspapers",
                             "use_first_row_for_vectorname": true
                         },
                         {
                             "description": "Population Commute Times",
                             "url": "https://dasl.datadescription.com/download/data/3401",
                             "filename": "Population-Commute",
                             "name": "Population Commute Times",
                             "use_first_row_for_vectorname": true
                         },
                         {
                             "description": "the percentage change in population for the 50 states and the District of Columbia from the 2000 census to the 2010 census.",
                             "url": "https://dasl.datadescription.com/download/data/3402",
                             "filename": "Population-growth-2010",
                             "name": "Population growth 2010",
                             "use_first_row_for_vectorname": true
                         },
                         {
                             "description": "Crowd Management Strategies monitors accidents at rock concerts. In their database, they list the names and other variables of victims whose deaths were attributed to \"crowd crush\" at rock concerts. The data give the victims' ages for data from a one-year period.",
                             "url": "https://dasl.datadescription.com/download/data/3429",
                             "filename": "Rock-concert-deaths",
                             "name": "Rock concert deaths",
                             "use_first_row_for_vectorname": true
                         },
                         {
                             "description": "A study at a liberal arts college attempted to find out whether men and women watch the same amount of TV, on average and whether it mattered if students were varsity athletes or not. Student researchers asked 200 randomly selected students questions about their backgrounds and about their television-viewing habits and received 197 legitimate responses. The researchers found that men watch, on average, about 2.5 hours per week more TV than women, and that varsity athletes watch about 3.5 hours per week more than those who are not varsity athletes. But is this the whole story? To investigate further, they divided the students into four groups: male athletes (MA), male non-athletes (MNA), female\nathletes (FA), and female non-athletes (FNA).",
                             "url": "https://dasl.datadescription.com/download/data/3504",
                             "filename": "TV-watching",
                             "name": "TV watching",
                             "use_first_row_for_vectorname": true
                         },
                         {
                             "description": "Insurance companies and other organizations use actuarial tables to estimate the remaining lifespans of their customers. The data file gives estimated life expectancy and additional years of life for black males in the United States, according to a 2016 National Vital Statistics Report, A regression model to predict Life expectancy from Age appears to fit well, but consider the residuals.",
                             "url": "https://dasl.datadescription.com/download/data/3542",
                             "filename": "Years-to-live",
                             "name": "Years to live 2016",
                             "use_first_row_for_vectorname": true
                         },
                         {
                             "description": "Fortune magazine collected the zodiac signs of 256 heads of the largest 400 companies. The data shows the number of births for each sign.",
                             "url": "https://dasl.datadescription.com/download/data/3547",
                             "filename": "Zodiac",
                             "name": "Zodiac",
                             "use_first_row_for_vectorname": true
                         }
                     ],
                     "name": "Population"
                 },
                 {
                     "datasets": [
                         {
                             "description": "https://en.wikipedia.org/wiki/List_of_U.S._states_by_electricity_production_from_renewable_sources",
                             "url": "https://dasl.datadescription.com/download/data/3051",
                             "filename": "Alternative-energy",
                             "name": "Alternative energy 2016",
                             "use_first_row_for_vectorname": true
                         },
                         {
                             "description": "In a statement to a Senate Public Works Committee, a senior executive of Texaco, Inc., cited a study on the effectiveness of auto filters on reducing noise. Because of concerns about performance, two types of filters were studied, a standard silencer and a new device developed by the Associated Octel Company. Noise is in decibels/10. Type 1 = standard, Type 2 = Octel.",
                             "url": "https://dasl.datadescription.com/download/data/3058",
                             "filename": "Auto-noise-filters",
                             "name": "Auto noise filters",
                             "use_first_row_for_vectorname": true
                         },
                         {
                             "description": "A student experiment was run to test the performance of 4 brands of batteries under 2 different Environments (room temperature and cold). For each of the 8 treatments, 2 batteries of a particular brand were put into a flashlight. The flashlight was then turned on and allowed to run until the light went out. The number of minutes the flashlight stayed on was recorded. Each treatment condition was run twice.",
                             "url": "https://dasl.datadescription.com/download/data/3070",
                             "filename": "Batteries",
                             "name": "Batteries",
                             "use_first_row_for_vectorname": true
                         },
                         {
                             "description": "Stopping distances in feet for a car tested 3 times at each of 5 speeds. We hope to create a model that predicts Stopping Distance from the Speed of the car.",
                             "url": "https://dasl.datadescription.com/download/data/3086",
                             "filename": "Brakes",
                             "name": "Brakes",
                             "use_first_row_for_vectorname": true
                         },
                         {
                             "description": "Measurements on 38 1978-79 model automobiles. Gas mileage in miles per gallon as measured by Consumers' Union on a test track. Other values as reported by automobile manufacturer. Used to illustrate regression model building and diagnosis. Be sure to check the residuals when predicting MPG.",
                             "url": "https://dasl.datadescription.com/download/data/3096",
                             "filename": "Cars",
                             "name": "Cars",
                             "use_first_row_for_vectorname": true
                         },
                         {
                             "description": "A start-up company has developed an improved electronic chip for use in laboratory equipment. The company needs to project the manufacturing cost, so it develops a spreadsheet model that takes into account the purchase of production equipment, overhead, raw materials, depreciation, maintenance, and other business costs. The spreadsheet estimates the cost of producing 10,000 to 200,000 chips per year, as seen in the table.",
                             "url": "https://dasl.datadescription.com/download/data/3109",
                             "filename": "Chips",
                             "name": "Chips",
                             "use_first_row_for_vectorname": true
                         },
                         {
                             "description": "-",
                             "url": "https://dasl.datadescription.com/download/data/3126",
                             "filename": "Computer-chip",
                             "name": "Computer chip manufacturing",
                             "use_first_row_for_vectorname": true
                         },
                         {
                             "description": "Dalia collects data via smartphone from users worldwide. This survey asked (among many other questions) about access to cars and the use of ride-hailing apps.",
                             "url": "https://dasl.datadescription.com/download/data/3153",
                             "filename": "Dalia",
                             "name": "Dalia",
                             "use_first_row_for_vectorname": true
                         },
                         {
                             "description": "Disk drive capacity is often given in terabytes (TB), where 1 TB = 1000 gigabytes, or about a trillion bytes. A search of prices for external disk drives on Amazon.com in mid-2016 found the data on capacity and price.",
                             "url": "https://dasl.datadescription.com/download/data/3167",
                             "filename": "Disk-drives",
                             "name": "Disk drives 2016",
                             "use_first_row_for_vectorname": true
                         },
                         {
                             "description": "Most water tanks have a drain plug so that the tank may be emptied when it's to be moved or repaired. How long it takes a certain size of tank to drain depends on the size of the plug, as shown in the table.",
                             "url": "https://dasl.datadescription.com/download/data/3175",
                             "filename": "Down-the-Drain",
                             "name": "Down the Drain",
                             "use_first_row_for_vectorname": true
                         },
                         {
                             "description": "A university teacher saved every e-mail receive from students in a large introductory statistics class during one term. He then counted, for each student who had sent him at least one e-mail, how many e-mails each student had sent. What is the distribution of e-mail communications?",
                             "url": "https://dasl.datadescription.com/download/data/3181",
                             "filename": "E-mails",
                             "name": "E-mails",
                             "use_first_row_for_vectorname": true
                         },
                         {
                             "description": "Fuel economy (mpg) and the number of cylinders in a sample of cars. Data extracted from a larger cars dataset.",
                             "url": "https://dasl.datadescription.com/download/data/3226",
                             "filename": "Fuel-economy-and-cylinders",
                             "name": "Fuel economy and cylinders",
                             "use_first_row_for_vectorname": true
                         },
                         {
                             "description": "An experiment to test a new gasoline additive, Gasplus, was performed on three different cars: a sports car, a minivan, and a hybrid. Each car was tested with both Gasplus and regular gas on 10 different occasions and their gas mileage was recorded.",
                             "url": "https://dasl.datadescription.com/download/data/3231",
                             "filename": "Gas-additives",
                             "name": "Gas additives",
                             "use_first_row_for_vectorname": true
                         },
                         {
                             "description": "Internet users 2014",
                             "url": "https://dasl.datadescription.com/download/data/3299",
                             "filename": "Internet-users",
                             "name": "Internet users 2014",
                             "use_first_row_for_vectorname": true
                         },
                         {
                             "description": "iPod failures",
                             "url": "https://dasl.datadescription.com/download/data/3300",
                             "filename": "iPod-failures",
                             "name": "iPod failures",
                             "use_first_row_for_vectorname": true
                         },
                         {
                             "description": "Richard DeVeaux owned a Nissan Maxima for 8 years. He\nrecorded the car's fuel efficiency (in mpg) each time he filled the tank. He wanted to know what fuel efficiency to expect as \"ordinary\" for his car. Knowing this, he was able to predict when he'd need to fill the tank again and to notice if the fuel efficiency suddenly got worse, which could be a sign of trouble.",
                             "url": "https://dasl.datadescription.com/download/data/3367",
                             "filename": "Nissan",
                             "name": "Nissan",
                             "use_first_row_for_vectorname": true
                         },
                         {
                             "description": "Costs of construction for 32 light water nuclear plants.",
                             "url": "https://dasl.datadescription.com/download/data/3554",
                             "filename": "Nuclear-plants",
                             "name": "Nuclear plants",
                             "use_first_row_for_vectorname": true
                         },
                         {
                             "description": "Pew Research conducted a survey about social networking in several countries. They asked whether respondents had access to and used social networking. Responses were \"yes\" (use social networking), \"no\", and \"not available\".",
                             "url": "https://dasl.datadescription.com/download/data/3457",
                             "filename": "Social-networking",
                             "name": "Social networking",
                             "use_first_row_for_vectorname": true
                         },
                         {
                             "description": "Cnet.com tests tablet computers and continuously updates its list. As of January 2014, the list included the battery life (in hours) and luminous intensity (i.e., screen brightness, in cd/m^2).",
                             "url": "https://dasl.datadescription.com/download/data/3474",
                             "filename": "Tablet-computers-2014",
                             "name": "Tablet computers 2014",
                             "use_first_row_for_vectorname": true
                         },
                         {
                             "description": "Should you generate electricity with your own personal\nwind turbine? That depends on whether you have enough\nwind on your site. To produce enough energy, your site should\nhave an annual average wind speed above 8 miles per hour, according\nto the Wind Energy Association. One candidate site was\nmonitored for a year, with wind speeds recorded every 6 hours.\nA total of 1114 readings of wind speed averaged 8.019 mph with\na standard deviation of 3.813 mph. The data are provided.",
                             "url": "https://dasl.datadescription.com/download/data/3527",
                             "filename": "Wind-power",
                             "name": "Wind power",
                             "use_first_row_for_vectorname": true
                         }
                     ],
                     "name": "Technology"
                 },
                 {
                     "datasets": [
                         {
                             "description": "The Pew Research Center conducted a representative telephone survey in October of 2016. Among the reported results was the following table concerning the preferred political party affiliation of respondents and their ages for white voters. Is there evidence of age-based differences in party affiliation in the United States for white voters?",
                             "url": "https://dasl.datadescription.com/download/data/3045",
                             "filename": "Age-and-party",
                             "name": "Age and party 2016",
                             "use_first_row_for_vectorname": true
                         },
                         {
                             "description": "The outcome of the 2000 U.S. presidential election was determined in Florida amid much\ncontroversy. Even years later, historians continue to debate who really received the most\nvotes. The main race was between George W. Bush and Al Gore, but two minor candidates\nplayed a significant role. To the political right of the major party candidates was Pat\nBuchanan, while to the political left was Ralph Nader. Generally, Nader earned more votes\nthan Buchanan throughout the state. We would expect counties with larger vote totals to\ngive more votes to each candidate. The dataset gives Buchanan's and Nader's vote totals by\ncounty in the state of Florida. Plot to identify the outlier and consider what it means.",
                             "url": "https://dasl.datadescription.com/download/data/3187",
                             "filename": "Election-2000",
                             "name": "Election 2000",
                             "use_first_row_for_vectorname": true
                         },
                         {
                             "description": "-",
                             "url": "https://dasl.datadescription.com/download/data/3201",
                             "filename": "Female-president",
                             "name": "Female president",
                             "use_first_row_for_vectorname": true
                         },
                         {
                             "description": "How accurate are pollsters in predicting the outcomes of Congressional elections? The table shows the actual number of Democrat seats in the House of Representatives and the number predicted by the Gallup organization for nonpresidential election years in the 4 decades following World War II.",
                             "url": "https://dasl.datadescription.com/download/data/3564",
                             "filename": "Polling",
                             "name": "Polling",
                             "use_first_row_for_vectorname": true
                         }
                     ],
                     "name": "Politics"
                 },
                 {
                     "datasets": [
                         {
                             "description": "1998 Baby data from http://www.nber.org/natality/ftp.cdc.gov/pub/Health_Statistics/NCHS/Dataset_Documentation/DVS/natality/",
                             "url": "https://dasl.datadescription.com/download/data/3059",
                             "filename": "Babysamp",
                             "name": "Babysamp 98",
                             "use_first_row_for_vectorname": true
                         },
                         {
                             "description": "Births per 1000 population in the United States, starting in 1965. There has been concern that the birthrate may be declining. A good model for tends in birthrate may allow for some prediction.",
                             "url": "https://dasl.datadescription.com/download/data/3075",
                             "filename": "Birthrates-2015",
                             "name": "Birthrates 2015",
                             "use_first_row_for_vectorname": true
                         },
                         {
                             "description": "In a Chance magazine article (Summer 2005), Danielle Vasilescu and Howard Wainer used data from the United Nations Center for Human Settlements to investigate aspects of living conditions for several countries. Among the variables they looked at were the country's per capita gross domestic product (GDP, in $) and Crowdedness, defined as the average number of persons per room living in homes there.\nVasilescu and Wainer re-express GDP to -10000/GDP. Doing that reveals an outlier that may be due to an error in the data.",
                             "url": "https://dasl.datadescription.com/download/data/3148",
                             "filename": "Crowdedness",
                             "name": "Crowdedness",
                             "use_first_row_for_vectorname": true
                         },
                         {
                             "description": "-",
                             "url": "https://dasl.datadescription.com/download/data/3237",
                             "filename": "GDP-DJIA",
                             "name": "GDP and DJIA 2017",
                             "use_first_row_for_vectorname": true
                         },
                         {
                             "description": "Data for 800 respondents in each of five countries. The variables provide demographic information (sex, age, education, marital status) and responses to questions of interest to marketers on personal finance and purchasing.",
                             "url": "https://dasl.datadescription.com/download/data/3242",
                             "filename": "Global",
                             "name": "Global",
                             "use_first_row_for_vectorname": true
                         },
                         {
                             "description": "The dataset gives profits (in $M) for 30 of the 500 largest global corporations (as measured by revenue).",
                             "url": "https://dasl.datadescription.com/download/data/3243",
                             "filename": "Global500-2014",
                             "name": "Global500 2014",
                             "use_first_row_for_vectorname": true
                         },
                         {
                             "description": "In an investigation of environmental causes of disease, data were collected on the annual mortality rate (deaths per 100,000) for males in 61 large towns in England and Wales. In addition, the water hardness was recorded as the calcium concentration (parts per million, ppm) in the drinking water.",
                             "url": "https://dasl.datadescription.com/download/data/3255",
                             "filename": "Hard-water",
                             "name": "Hard water",
                             "use_first_row_for_vectorname": true
                         },
                         {
                             "description": "The United Nations Development Programme (UNDP) uses the Human Development Index (HDI) in an attempt to summarize in one number the progress in health, education, and economics of a country. In 2015, the HDI was as high as 0.94 for Norway and as low as 0.35 for Niger.",
                             "url": "https://dasl.datadescription.com/download/data/3258",
                             "filename": "HDI-2015",
                             "name": "HDI 2015",
                             "use_first_row_for_vectorname": true
                         },
                         {
                             "description": "The United Nations Development Programme (UNDP) uses the Human Development Index (HDI) in an attempt to summarize in one number the progress in health, education, and economics of a country.",
                             "url": "https://dasl.datadescription.com/download/data/3259",
                             "filename": "HDI-2016",
                             "name": "HDI 2016",
                             "use_first_row_for_vectorname": true
                         },
                         {
                             "description": "Life expectancy at birth in 195 countries.",
                             "url": "https://dasl.datadescription.com/download/data/3312",
                             "filename": "Life-Expectancy",
                             "name": "Life Expectancy",
                             "use_first_row_for_vectorname": true
                         },
                         {
                             "description": "Here is a table from the National Vital Statistics Report that gives the Life Expectancy for white males in the United States every decade during the 20th century (1 = 1900 to 1910, 2 = 1911 to 1920, etc.). Does a linear model relating life expectancy to decade fit? Would re-expressing either variable help?",
                             "url": "https://dasl.datadescription.com/download/data/3313",
                             "filename": "Life-expectancy-US",
                             "name": "Life expectancy US",
                             "use_first_row_for_vectorname": true
                         },
                         {
                             "description": "Age at first marriage has changed over the course of the past century. In addition, the difference in the age of the husband and of the wife at first marriage has changed. Both the ages and the difference in ages can be interesting to analyze.",
                             "url": "https://dasl.datadescription.com/download/data/3329",
                             "filename": "Marriage-age-2015",
                             "name": "Marriage age 2015",
                             "use_first_row_for_vectorname": true
                         },
                         {
                             "description": "Age at first marriage has changed over the course of the past century. In addition, the difference in the age of the husband and of the wife at first marriage has changed. Both the ages and the difference in ages can be interesting to analyze.",
                             "url": "https://dasl.datadescription.com/download/data/3330",
                             "filename": "Marriage-age-2016",
                             "name": "Marriage age 2016",
                             "use_first_row_for_vectorname": true
                         },
                         {
                             "description": "The estimated median age at fist marriage by sex from 1890 to 2017 is provided by the U.S. Census bureau. Since 1960, marriage ages have been increasing steadily. Has the difference between men's and women's first marriage age changed?",
                             "url": "https://dasl.datadescription.com/download/data/3331",
                             "filename": "Marriage-age-2017",
                             "name": "Marriage age 2017",
                             "use_first_row_for_vectorname": true
                         },
                         {
                             "description": "Source: JAMA 284 [2000]:335-341) \nNumber of Cases: 278",
                             "url": "https://dasl.datadescription.com/download/data/3506",
                             "filename": "Twin-Births",
                             "name": "Twin Births",
                             "use_first_row_for_vectorname": true
                         },
                         {
                             "description": "In January 2012, the New York Times\npublished a story called \"Twin Births in the U.S., Like Never\nBefore\", in which they reported a 76 percent increase in the\nrate of twin births from 1980 to 2009. The dataset gives the number\nof twin births each year (per 1000 live births). Can you confirm the Times report?\nThe dataset also includes the atmospheric CO2 levels (ppm) for those years to offer an alternative predictor in case there appears to be an argument for causation.",
                             "url": "https://dasl.datadescription.com/download/data/3505",
                             "filename": "Twins-by-Year",
                             "name": "Twins by Year 2014",
                             "use_first_row_for_vectorname": true
                         },
                         {
                             "description": "Working parents",
                             "url": "https://dasl.datadescription.com/download/data/3539",
                             "filename": "Working-parents",
                             "name": "Working parents",
                             "use_first_row_for_vectorname": true
                         }
                     ],
                     "name": "Demographics"
                 },
                 {
                     "datasets": [
                         {
                             "description": "A statistics professor at a large university polled his students to find out what their majors were and what position they held in the family birth order. The results are summarized in the table.",
                             "url": "https://dasl.datadescription.com/download/data/3076",
                             "filename": "Birth-order",
                             "name": "Birth order",
                             "use_first_row_for_vectorname": true
                         },
                         {
                             "description": "The technology committee at a school has stated that the average time spent by students per lab visit has increased and the increase supports their argument that they need to increase lab fees.\nTo substantiate this claim, the committee randomly sampled 12 student lab visits and noted the amount of time spent using the computer. The times in minutes are given:",
                             "url": "https://dasl.datadescription.com/download/data/3127",
                             "filename": "Computer-lab",
                             "name": "Computer lab fees",
                             "use_first_row_for_vectorname": true
                         },
                         {
                             "description": "Students in two basic Spanish classes were required to learn 50 new vocabulary words. One group of 45 students received the list on Monday and studied the words all week. Statistics summarizing this group's scores on Friday's quiz are given. The other group of 25 students did not get the vocabulary list until Thursday. They also took the quiz on Friday, after \"cramming\" Thursday night. Then, when they returned to class the following Monday, they were retested - without advance warning. Both sets of test scores for these students are given.",
                             "url": "https://dasl.datadescription.com/download/data/3140",
                             "filename": "Cramming",
                             "name": "Cramming",
                             "use_first_row_for_vectorname": true
                         },
                         {
                             "description": "-",
                             "url": "https://dasl.datadescription.com/download/data/3184",
                             "filename": "Education-by-age",
                             "name": "Education by age",
                             "use_first_row_for_vectorname": true
                         },
                         {
                             "description": "Is college worth the expense? Which colleges have graduates who earn the most? And what is the best predictor of earnings 5-years out? The data provide several possible predictors and background information suitable for building regression models.",
                             "url": "https://dasl.datadescription.com/download/data/3249",
                             "filename": "Graduate-Earnings",
                             "name": "Graduate Earnings",
                             "use_first_row_for_vectorname": true
                         },
                         {
                             "description": "The National Center for Education Statistic reports average mathematics achievement scores for eighth graders in all 50 states.",
                             "url": "https://dasl.datadescription.com/download/data/3332",
                             "filename": "Math-scores-2013",
                             "name": "Math scores 2013",
                             "use_first_row_for_vectorname": true
                         },
                         {
                             "description": "Scores on SAT tests for 162 students at the same school. (The identity of the school is not provided for privacy.) How are Math and Verbal scores related? Would a regression model be appropriate? Is there a difference in male and female scores? How would that difference be modeled?",
                             "url": "https://dasl.datadescription.com/download/data/3438",
                             "filename": "SAT-scores",
                             "name": "SAT scores",
                             "use_first_row_for_vectorname": true
                         },
                         {
                             "description": "A school district superintendent wants to test a new method of teaching arithmetic in the fourth grade at his 15 schools. He plans to select 8 students from each school to take part in the experiment, but to make sure they are roughly of the same ability, he first gives a test to all 120 students. The data hold the scores of the test by school.",
                             "url": "https://dasl.datadescription.com/download/data/3439",
                             "filename": "School-system",
                             "name": "School system",
                             "use_first_row_for_vectorname": true
                         },
                         {
                             "description": "The dataset contains data from a class survey ",
                             "url": "https://dasl.datadescription.com/download/data/3465",
                             "filename": "Student-survey",
                             "name": "Student survey",
                             "use_first_row_for_vectorname": true
                         },
                         {
                             "description": "Researchers randomly assigned subjects to take one of two tests (form A or form B) either electronically or with pencil and paper. Subjects then took the other test using the other method. The two forms had been designed to be equivalent in difficulty, but nevertheless, that equivalence was checked as part of the experiment. Our concern is whether subjects did equally well with each testing method.",
                             "url": "https://dasl.datadescription.com/download/data/3466",
                             "filename": "Student-testing",
                             "name": "Student testing",
                             "use_first_row_for_vectorname": true
                         },
                         {
                             "description": "Summer school",
                             "url": "https://dasl.datadescription.com/download/data/3469",
                             "filename": "Summer-school",
                             "name": "Summer school",
                             "use_first_row_for_vectorname": true
                         },
                         {
                             "description": "Tuition 2016",
                             "url": "https://dasl.datadescription.com/download/data/3502",
                             "filename": "Tuition-2016",
                             "name": "Tuition 2016",
                             "use_first_row_for_vectorname": true
                         },
                         {
                             "description": "https://collegescorecard.ed.gov/data/",
                             "url": "https://dasl.datadescription.com/download/data/3503",
                             "filename": "Tuition-All-Schools",
                             "name": "Tuition All Schools 2016",
                             "use_first_row_for_vectorname": true
                         },
                         {
                             "description": "The data give the mean ACT composite scores for all 450 Wisconsin public schools in 2015 along with the type of school and number of students.",
                             "url": "https://dasl.datadescription.com/download/data/3533",
                             "filename": "Wisconsin-ACT-2015",
                             "name": "Wisconsin ACT 2015",
                             "use_first_row_for_vectorname": true
                         },
                         {
                             "description": "Wisconsin ACT math",
                             "url": "https://dasl.datadescription.com/download/data/3534",
                             "filename": "Wisconsin-ACT-math",
                             "name": "Wisconsin ACT math",
                             "use_first_row_for_vectorname": true
                         }
                     ],
                     "name": "Education"
                 }
             ]
         },
         {
             "name": "Physics",
             "subcategories": [
                 {
                     "datasets": [
                         {
                             "description": "On August 24, 2006, the International Astronomical Union voted that Pluto is not a planet. Some members of the public have been reluctant to accept that decision. The data show the average distance of each of the traditional nine planets from the sun. Is there a pattern? Does Pluto fit with the other \"official\" planets?",
                             "url": "https://dasl.datadescription.com/download/data/3397",
                             "filename": "Planets",
                             "name": "Planets",
                             "use_first_row_for_vectorname": true
                         },
                         {
                             "description": "On August 24, 2006, the International Astronomical Union voted that Pluto is not a planet. Some members of the public have been reluctant to accept that decision. The data show a variety of facts about the 8 planets and Pluto. Exercises consider two models for the planets. Does Pluto behave like a planet?",
                             "url": "https://dasl.datadescription.com/download/data/3398",
                             "filename": "Planets-more",
                             "name": "Planets more data",
                             "use_first_row_for_vectorname": true
                         }
                     ],
                     "name": "Astronomy"
                 },
                 {
                     "datasets": [
                         {
                             "description": "Scientist Robert Boyle examined the relationship between the volume in which a gas is contained and the pressure in its container. He used a cylindrical container with a moveable top that could be raised or lowered to change the volume. He measured the Height in inches by counting equally spaced marks on the cylinder, and measured the Pressure in inches of mercury (as in a barometer). The relationship between volume (height) and pressure is now known as Boyle’s Law. Find the re-expression that makes the relationship straight, and you’ll re-discover Boyle’s Law.",
                             "url": "https://dasl.datadescription.com/download/data/3083",
                             "filename": "Boyle",
                             "name": "Boyle",
                             "use_first_row_for_vectorname": true
                         },
                         {
                             "description": "We know from common sense and from Physics that heavier cars need more fuel, but exactly how does a car's weight affect its fuel efficiency? The data set continues data on 38 cars including their fuel efficiency in miles per gallon measured on a track.",
                             "url": "https://dasl.datadescription.com/download/data/3228",
                             "filename": "Fuel-efficiency",
                             "name": "Fuel efficiency",
                             "use_first_row_for_vectorname": true
                         },
                         {
                             "description": "In 1879, A. A. Michelson made 100 determinations of the velocity\nof light in air using a modification of a method proposed by the French\nphysicist Foucault. The data are given here as reported by Stigler.\nThe measurements are derived from sets of often widely disparate\nnumbers of observations. The numbers are in km/sec, and have had\n299,000 subtracted from them. The currently accepted \"true\"\nvelocity of light in vacuum is 299,792.5 km/sec. Stigler has\napplied the corrections used by Michelson and reports that the\n\"true\" value appropriate for comparison to these measurements\nis 734.5. Each trial may be a summary of several experimental\nobservations.",
                             "url": "https://dasl.datadescription.com/download/data/3338",
                             "filename": "Michelson_",
                             "name": "Michelson",
                             "use_first_row_for_vectorname": true
                         },
                         {
                             "description": "A student experimenting with a pendulum counted the number of full swings the pendulum made in 20 seconds for various lengths of string. Her data are given.",
                             "url": "https://dasl.datadescription.com/download/data/3390",
                             "filename": "Pendulum",
                             "name": "Pendulum",
                             "use_first_row_for_vectorname": true
                         }
                     ],
                     "name": "Other"
                 }
             ]
         },
         {
             "name": "Chemistry",
             "subcategories": [
                 {
                     "datasets": [
                         {
                             "description": "-",
                             "url": "https://dasl.datadescription.com/download/data/3112",
                             "filename": "Chromatography",
                             "name": "Chromatography",
                             "use_first_row_for_vectorname": true
                         },
                         {
                             "description": "A student, preparing for a triathlon, suspected that the 45 minutes each day\nshe spent training in a chlorinated pool was damaging her nail polish. She\nwished to investigate whether the color of the nail polish might make a difference.\nShe mounted acrylic nails on sticks and polished them with two different color nail polishes. She soaked them together in a chlorine solution equivalent to a swimming pool's chlorination and then tapped them 100 times on a computer keyboard to simulate daily stress. The response is the % of nail chipped off as measured by scanning images of the nails and using an image processing program.",
                             "url": "https://dasl.datadescription.com/download/data/3356",
                             "filename": "Nail-polish",
                             "name": "Nail polish",
                             "use_first_row_for_vectorname": true
                         }
                     ],
                     "name": "General"
                 }
             ]
         }
     ]
 }