Lab 1 - Data

The intention behind this lab is that you will get familiar with the process of reading a dataset, and exploring the data a little through the pandas framework

Pandas documentation: https://pandas.pydata.org/docs/

You are done with this lab when you have managed to display a values counts of the data like so

Hints

• Inspect the data for outliers or missing data with pandas functionality

• the .info() and .describe() dataframe functions can help you a lot with finding outliers in data

• The teacher might have forgotten to fill out all the grades! (Deal with Nan Values)

  • Use the .isna() and .dropna() functions to help with cleaning the data

In the pandas documentation