Activity 7.01 – data analysis using pivot tables

In this activity, you will build pivot tables in order to perform data analysis. We will work on the Student Performance dataset from the GitHub repository.

Note

More details about the Student Performance dataset can be found at https://archive.ics.uci.edu/ml/datasets/Student+Performance.

Your tasks will be to do the following:

1. Open a Jupyter notebook.
2. Import the pandas package.
3. Load the CSV file (using the ; delimiter to separate the columns) as a DataFrame.
4. Modify the DataFrame to contain only these columns: school, sex, age, address, heath, absences, G1, G2, and G3.
5. Display the first 10 rows of the DataFrame.
6. Build a pivot table that is indexed on school.
7. Build a pivot table that is indexed on school and age.
8. Build a pivot table that is indexed on school, sex, and age, with the mean and sum aggregation on the absences column.

The expected output is as follows:

...