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College Basketball Dataset
This visualization displays the first row of a college basketball dataset as a formatted JSON object, showing one team’s advanced metrics including adjusted offensive and defensive efficiency, effective field goal percentage, and wins above bubble. The code imports the CSV data using a data import statement, then converts all numeric fields to numbers using unary plus operators before rendering the JSON string with an HTML pre element. The example demonstrates a minimal data inspection approach using only JavaScript and template literals, without any external visualization libraries.
AI-generated descriptionDataset Overview: The College Basketball Team Performance Dataset provides a comprehensive analysis of team performances during the 2023 college basketball season. This dataset includes advanced metrics that evaluate both offensive and defensive efficiencies, along with other game statistics, providing insights into team performance at a granular level.
Dataset Breakdown:
TEAM: The team’s name. CONF: The conference to which the team belongs. G: The number of games played. W: The number of games won. ADJOE: Adjusted Offensive Efficiency (points per 100 possessions). ADJDE: Adjusted Defensive Efficiency (points allowed per 100 possessions). EFG%: Effective Field Goal Percentage (adjusted for 3-point shots). 3P%: Three-point shooting percentage. 2P%: Two-point shooting percentage. ORB: Offensive Rebound Percentage. DRB: Defensive Rebound Percentage. WAB: Wins Above Bubble, a measure of performance relative to tournament qualification. Link to the original source:https://www.kaggle.com/datasets/andrewsundberg/college-basketball-dataset