Data Visualization

1 chapters

Visualization is how analysts communicate insights. This section teaches you to create the iconic visualizations of basketball analytics: shot charts, hexbin plots, player radar plots, and interactive dashboards. Learn best practices for both exploratory analysis and presentation-ready graphics using ggplot2, matplotlib, and Plotly.

Skills You'll Learn

ggplot2 matplotlib Shot Charts Shiny Streamlit Plotly

Chapters

4 Beginner
Data Visualization Fundamentals

Effective visualization transforms complex statistical patterns into accessible insights. This chapter covers the principles of data visualization and their application to basketball analytics using ggplot2 in R and matplotlib/seaborn in Python. You will learn to create shot charts, player comparison plots, and other visualizations.

5 sections ~30 min read

Explore Other Topics

Foundations & Setup
Metrics & Statistics
Tracking Data Analytics
Machine Learning
Draft & Player Development
Betting & Fantasy Sports

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Start with Data Visualization Fundamentals