/python_meets_R

A set of simple data wrangling interview questions

python_meets_R

A set of simple data wrangling interview questions. The questions are as follows:
1-) Could you export the data and replace NA values in Quantity column with 0?
2-) Could you aggregate data by State AND MonthBucket using SUM of quantities as aggregation? Python warning: State and MonthBucket should remain as separate columns in the data.
3-) Assume that later on, you have another dataset with different information (say, order information). Could you join this data with the previous data?
4-) Say, you have built a forecast model, and you get the following forecasts at state-by-month-level. Could you pivot this data from long to wide format? Each row will show the state information. Python warning: State should remain as a separate column in the data.