Exploratory Data Analysis - Introduction to Exploratory Data Analysis (EDA) and pandas
About
An introduction to exploratory data analysis and the pandas library.
Learning Objectives
You will be able to:
- Explain the difference between EDA for exploration versus EDA for modeling.
- Define
pandasSeriesandDataFrametypes and their uses. - Understand the benefit of vectorized dataset operations.
- Read in a data set with the
pandaslibrary. - Explore the characteristics of a data set at a high level with
pandas.
Content
| Topic | About |
|---|---|
| Full Lesson Deck | Overview of EDA and pandas, including the notebooks below |
| 01 Intro to pandas | A guided walkthrough of the basics of pandas |
| 02 EDA with pandas | A guided walkthrough of EDA commands in pandas |
| 03 Exercise - EDA with pandas | An EDA 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.
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 :)