{"part":"task","text":"# Datasets\nPass a dataset's id as the `dataset` argument.\n{\n \"id\": \"drinking\",\n \"rows\": 50,\n \"description\": \"To estimate the impacts of alcohol on death, we could use the fact that legal drinking age imposes a discontinuity on nature. In the US, those just under 21 years don\u2019t drink (or drink much less) while those just older than 21 do drink. The csv file drinking.csv contains mortality data aggregated by age. Each row is the average age of a group of people and the average mortality by all causes (all), by moving vehicle accident (mva) and by suicide (suicide).\",\n \"columns\": {\n  \"agecell\": \"float64\",\n  \"all\": \"float64\",\n  \"allfitted\": \"float64\",\n  \"internal\": \"float64\",\n  \"internalfitted\": \"float64\",\n  \"external\": \"float64\",\n  \"externalfitted\": \"float64\",\n  \"alcohol\": \"float64\",\n  \"alcoholfitted\": \"float64\",\n  \"homicide\": \"float64\",\n  \"homicidefitted\": \"float64\",\n  \"suicide\": \"float64\",\n  \"suicidefitted\": \"float64\",\n  \"mva\": \"float64\",\n  \"mvafitted\": \"float64\",\n  \"drugs\": \"float64\",\n  \"drugsfitted\": \"float64\",\n  \"externalother\": \"float64\",\n  \"externalotherfitted\": \"float64\"\n }\n}"}