Exploratory Data Analysis - Exploring and Joining Data with `pandas`

About

Explore fundamental statistics terminology, how to calculate descriptive statistics for a data set using pandas, and how to join and merge data sets together.

Learning Objectives

You will be able to:

Understand basic statistical vocabulary and define different types of data.
Compare measures of central tendency and spread.
Summarize and visualize the shape of a variable.
Explore descriptive statistics of a data set using pandas.
Explain different kinds of joins, and merge data sets together using pandas.

Content

Topic	About
Full Lesson Deck	Overview of EDA and `pandas`, including the notebooks below
02 Distributions	A guided walkthrough of summarizing and visualizing distributions
03 Descriptive statistics and data joins in `pandas`	A guided walkthrough of calculating descriptive statistics with `pandas`, summarising data using `groupby` and joining data
04 Exercise - descriptive statistics with `pandas`	A descriptive statistics exercise using `pandas`

Prerequisites

Write and run Python code in a Jupyter notebook.
Create basic Python functions.
Python programming skills including using modules and libraries.
Basic knowledge of the pandas library.
Understanding of the principles of data joins.

References

📖 Reference Materials

Important note

Please ignore the _layouts folder and the config.yml file in the root of this repo. They are needed to make sure the repo renders well; please don’t change them or delete them and your repo will work fine :)