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NCAA Women's Volleyball Visualization

✓ Published2🌍 Public
EEmily Hudson
Last edited Oct 22, 2025
Created on Oct 1, 2025

A scatterplot depicts the relationship between average digs and average hitting percentage for NCAA Big Ten volleyball teams, with each point colored by school and animated over the 2012–2019 seasons. The visualization uses D3.js (d3.v7) to parse a CSV, compute team-year averages via `d3.rollups` and `d3.mean`, and render SVG circles filled with team logos from external PNG files. Team colors and fallback pattern images are defined in JavaScript.

AI-generated description

This data project visualizes NCAA Women's Volleyball data from 2012-2019. The data set was large, so I only selected rows that contained players in the Big Ten Conference. The x-axis shows average number of kills and the y-axis shows the average hitting percentage. The points on the graph are also color coded for each school.

Link to the Data: https://www.kaggle.com/datasets/tylerwiddison/ncaa-womens-volleyball-boxscores-20122019?resource=download&select=ncaa_w_boxscores_2012-2019.csv

Variable Definitions:

  • Index - not a variable
  • Assists - number of sets that resulted in a kill - quantitative variable
  • Attack Attempts - number of attempted attacks - quantitative variable
  • Attack Errors - number of attacks that resulted in an error - quantitative variable
  • Ball Handling Errors - number of errors from ball handling (setting or passing) - quantitative varaible
  • Block Assists - number of blocks where two players are blocking and the ball is blocked and results in a point - quantitative variable
  • Block Solo - number of blocks where only one player is blocking and the ball is blocked and results in a poihnt - quantitative variable
  • Blocking Errors - number of times the ball is hit off of the block and results in a point for the attacking team - quantitative variable
  • Digs - number of balls defended when the opponent is attacking - quantitative variable
  • First Name - first name of the player - categorical varaible
  • Games Played - number of sets of the match played by the player - quantitative variable
  • Hitting Percentage - number of attack kills minus the number of attack errors over the total number of attack attempts - quantitative variable
  • Home Team - the team hosting the match - categorical variable
  • Jersey Number - the jersey number of the player - categorical variable (because you can not perform any arithmetic even though it is a number)
  • Kills - number of attacks that resulted in points - quantitative variable
  • Last Name - last name of the plater - categorical variable
  • Team - name of the team the player is on - categorical variable
  • Participated - indicating if the player particiapted in the match - categorical variable
  • Number of points - number of points the player scored in the match - quantitative variable
  • Reception Errors - number of serves which resulted in an immediate point for the serving team - quantitative varaible
  • Service Aces - number of serves from the player that resulted in a point - quantitative variable
  • Service Errors - number of serves from the player that resulted in the other team receiving a point - quantitative variable
  • Started - indicating if the player started the match - categorical variable
  • Opponent - name of the team that the player's team is playing - categorical variable
  • Url to stats - url to the stats for the whole game (not a variable)
  • Dates - the date the match was played - time stamp
MIT Licensed

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