Basketball

These modules use basketball data to teach topics in statistics and data science.

NBA Wingspan & Performance

Webscraping
Data Visualization
Data Wrangling
Joining / Merging

Exploring wingspan and performance in the NBA by cleaning, merging and analyzing datasets.

Jul 10, 2025
Cooper Olney, Ivan Ramler

Sampling Distributions: Shai Gilgeous-Alexander 2024-25 Points

Sampling Distributions
Simulation
Central Limit Theorem

Explore the concept of sampling distributions using Shai Gilgeous-Alexander’s regular season scoring data to simulate playoff scenarios.

Jul 1, 2025
Cooper Olney, Ivan Ramler, Robin Lock

Do NBA Draft Picks Matter? Wrangling and Analyzing Player Minutes

ANOVA
Post Hoc Comparisons
Data Visualization
Data Wrangling
Tidyverse

This module involves cleaning and wrangling NBA draft data, creating visualizations, and using ANOVA with post hoc comparisons to examine differences in average minutes played across first-round pick groups.

Jul 1, 2024
Vivian Johnson, Robin Lock

Do NBA Draft Picks Matter? Exploring Player Minutes with ANOVA

ANOVA
Hypothesis Testing
Confidence Intervals
Summary Statistics
Data Visualization

This module uses NBA draft data to test for differences in average minutes played across early, mid, and late first-round picks using ANOVA and visualizations.

Jul 1, 2024
Vivian Johnson, Robin Lock

What Can Box Scores Tell Us? Exploring WNBA Player Stats

Data Wrangling
Missing Data
Frequency Tables

Explore WNBA box score data to compare positional differences in player performance using summary statistics and visualizations.

May 15, 2024
Kristen Varin, Ivan Ramler
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