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Scatter Plot Showing NCAA Women's Volleyball Data

Emily Hudson

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Last edited Sep 18, 2025
Created on Sep 18, 2025

This data project visualizes NCAA Women's Volleyball data from 2012-2019. The data set was large, so I only selected a few thousand rows from the entire dataset. The x-axis shows number of kills and the y-axis shows the hitting percentage. The points on the graph are also color coded to show whether the plater was a starter or not. This visualization is interesting because it shows that most people that are above the average hitting percentage (about 0.2) and have high amount of kills (about 10+) are mainly starters.

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

  • 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