This repository will serve the workshop on data visualization for the IGGI conforence 2018. The aim of the workshop is to provide some basic information and guidance on data visualization, as well as brief introductory knowledge on the python libraries Pandas, Matplotlib and Seaborn.
Though it is intentionally designed to be delivered in person at our workshop, we have opted to make this repository public in the hopes that somebody might potentially find this useful regardless.
dataframe.csv - PoE data extracted from kaggle user gagazet
dataframe_ml.csv - PoE data refactored to be ML friendly
nba.csv - NBA player aggregate statistics of the season 2017-2018 from basketball reference
toolbox.py - Some tools that may be useful for working with the data in this repository
- The Need for Data Visualization
- Introduction to Pandas, Matplotlib, and Seaborn
- Exploratory Data Analysis & Visualization
- Data Visualization for Hypothesis Testing
- Data Visualization for Model Evaluation
Launch a virtual environment using the Binder badge at the top of this README.