{"part":"task","text":"# Datasets\nPass a dataset's id as the `dataset` argument.\n{\n \"id\": \"FLCensusVTD\",\n \"rows\": 8871,\n \"description\": \"Data file FLCensusVTD.csv of this question; the question's data description is the description of dataset 'FLVoters'.\",\n \"columns\": {\n  \"county\": \"int64\",\n  \"VTD\": \"int64\",\n  \"total.pop\": \"int64\",\n  \"white\": \"float64\",\n  \"black\": \"float64\",\n  \"hispanic\": \"float64\",\n  \"api\": \"float64\",\n  \"others\": \"float64\"\n }\n}\n{\n \"id\": \"FLVoters\",\n \"rows\": 10000,\n \"description\": \"Here is a random sample of 10,000 registered voters from Florida contained in the CSV file FLVoters.csv.\\nVariable Description\\nsurname: surname\\ncounty: county ID of the voter\u2019s residence\\nVTD: voting district ID of the voter\u2019s residence\\nage: age\\ngender: gender m = male and f = female\\nrace: self-reported race\\n\\nThe US Census Bureau releases a list of common surnames with their frequency. For example, the most common surname was \u201cSmith\u201d with 2,376,206 occurrences, followed by \u201cJohnson\u201d and \u201cWilliams\u201d with 1,857,160 and 1,534,042, respectively. This data set is quite comprehensive, including a total of more than 150,000 surnames that occurred at least 100 times. In addition, the census provides the relative frequencies of individual race within each surname, using a six-category self-reported race measure: non-Hispanic white, non-Hispanic black, non-Hispanic Asian and Pacific Islander, Hispanic origin, non-Hispanic American Indian and Alaskan Native, and non-Hispanic of two or more races. This census name list is contained in the CSV data file names.csv.\\nVariable Description\\nsurname: surname\\ncount: number of individuals with a specific surname\\npctwhite: percentage of non-Hispanic whites among those who have a specific surname\\npctblack: percentage of non-Hispanic blacks among those who have a specific surname\\npctapi: percentage of non-Hispanic Asians and Pacific Islanders among those who have a specific surname\\npcthispanic: percentage of Hispanic origin among those who have a specific surname\\npctothers: percentage of the other racial groups among those who have a specific surname\\n\\nIn the United States, voter files contain voters\u2019 addresses. Using this information, our data set also provides the voting district where each voter lives. In addition, we will utilize the Florida census data, which contains the racial composition of each voting district. The census data set is in FLCensusVTD.csv.\\nVariable Description\\ncounty: county census ID of the voting district\\nVTD: voting district census ID (only unique within the county)\\ntotal.pop: total population of the voting district\\nwhite: proportion of non-Hispanic whites in the voting district\\nblack: proportion of non-Hispanic blacks in the voting district\\napi: proportion of non-Hispanic Asians and Pacific Islanders in the voting district\\nhispanic: proportion of voters of Hispanic origin in the voting district\\nothers: proportion of the other racial groups in the voting district\",\n \"columns\": {\n  \"surname\": \"str\",\n  \"county\": \"int64\",\n  \"VTD\": \"int64\",\n  \"age\": \"float64\",\n  \"gender\": \"str\",\n  \"race\": \"str\"\n }\n}\n{\n \"id\": \"names\",\n \"rows\": 151671,\n \"description\": \"Data file names.csv of this question; the question's data description is the description of dataset 'FLVoters'.\",\n \"columns\": {\n  \"surname\": \"str\",\n  \"count\": \"int64\",\n  \"pctwhite\": \"float64\",\n  \"pctblack\": \"float64\",\n  \"pctapi\": \"float64\",\n  \"pcthispanic\": \"float64\",\n  \"pctothers\": \"float64\"\n }\n}"}