The College Basketball Team Performance Dataset provides a detailed breakdown of team performance during the 2023 college basketball season. It includes advanced metrics that evaluate offensive and defensive efficiency, shooting percentages, rebounding statistics, and other key indicators of team success.
Dataset Breakdown:
Compare Seeds by Conference
Purpose: Explore the distribution of tournament seeds
across conferences to see which conferences have stronger
representation.
Visualization: A box plot comparing SEED
across conferences (CONF) to show the spread of team
seeds within each conference.
Win-Loss Comparison by Conference
Purpose: Compare the win-loss records of teams based
on their conference to determine which conferences
perform better.
Visualization: A bar chart with conferences
on the x-axis and the average win percentage on the
y-axis.
Distribution of Three-Point Shooting Percentages
(3P%)
Purpose: Visualize the distribution of 3-point
shooting percentages across all teams.
Visualization: A histogram displaying the
frequency of different 3-point shooting percentages.
Relationship Between Effective Field Goal Percentage
(EFG%) and Team Success (WAB)
Purpose: Analyze how effective field goal percentage
correlates with team success, measured by Wins Above
Bubble (WAB).
Visualization: A scatter plot with EFG% on
one axis and WAB on the other, using point size to
represent the number of games won (W).
Compare Adjusted Offensive and Defensive Efficiency
(ADJOE vs ADJDE)
Purpose: Visually explore the relationship between a
team’s offensive and defensive efficiency.
Visualization: A scatter plot with ADJOE on
the x-axis and ADJDE on the y-axis, using color to
represent the team’s conference (CONF) and size to
represent the number of games won (W).
Link to the original source:https://www.kaggle.com/datasets/andrewsundberg/college-basketball-dataset