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Instructions In this compulsory task, you will need the following libraries: fuzzywuzzy chardet Within this task folder, you will find a Jupyter Notebook named data

Instructions
In this compulsory task, you will need the following libraries:
fuzzywuzzy
chardet
Within this task folder, you will find a Jupyter Notebook named
data_cleaning_example.jpynb. Work through this notebook before moving on to
the compulsory task.
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 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().
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