Compulsory Task $1$

In this compulsory task, you will clean the country column and parse the $$date$\_$measured$$ column in the store$\_$income$\_$data$\_$task.csv file. Use the examples given in data$\_$cleaning$\_$example.ipynb to guide you.

Complete the following in store$\_$income$\_$task.ipynb:

$$ Load store$\_$income$\_$data$\_$task.csv$.$

$$ Take a look at all the unique values in the "country" column. Then, convert

the column entries to lowercase and remove any trailing white spaces.

$$ Clean up the $$country$$ column so that there are three distinct countries.

$$ Create a new column called $`$days$\_$ago$`$ in the DataFrame that is a copy of

the $$date$\_$measured$$ column but instead shows a number that represents the number of days ago that it was measured. Note that the current date can be obtained using datetime.date.today$().$