{"part":"task","text":"# Datasets\nPass a dataset's id as the `dataset` argument.\n{\n \"id\": \"collections_email\",\n \"rows\": 5000,\n \"description\": \"In a study to determine the causal effect of sending an email reminder on the repayment of debts, a fintech company conducted a random test involving 5000 customers who were late on their payments. Each customer was randomly assigned to either receive an email about negotiating their debt or to be part of a control group that did not receive the email. Data was collected on the amounts paid by the late customers after this intervention. The dataset collections_email.csv contains variables including the amount paid (`payments`), whether the email was sent (`email`), whether the email was opened (`opened`), whether the customer contacted the collections department to negotiate their debt after having received the email (`agreement`), the customer's credit limit before being late (`credit_limit`), and the customer's risk score prior to the delivery of the email (`risk_score`).\",\n \"columns\": {\n  \"payments\": \"int64\",\n  \"email\": \"int64\",\n  \"opened\": \"float64\",\n  \"agreement\": \"float64\",\n  \"credit_limit\": \"float64\",\n  \"risk_score\": \"float64\"\n }\n}"}