Overview

Now that we’ve got a good idea of how to use Pandas, this second class puts you in the context of a preliminary exploration of any dataset, reviewing what we can measure, compute and plot to get an idea of the structure of the data before we infer anything in the following classes. We will introduce a few new Pandas functions and will start plotting data using dedicated libraries.

Today’s objectives

The objectives of this class are to review:

• How to get an idea of the structure of the dataset (e.g., data types)
• The basics of plotting in Python
• How to measure basics univariate properties of the dataset (→ location, dispersion, skewness)
• What plot can be used to represent distributions in a meaningful way
• How to get a first idea about the relationships between multiple variables (→ bivariate analysis)

Slides

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