Immersion Analytics Research on Women in the Olympics
Created By: Amanda Levy May 2022
How did medal dispersion for female participants vary across National Olympic Committees (NOCs), sport, and year?
To analyze this research question in Immersion Analytics, given the restrictions on the number of rows in the csv, we must break it down into different date periods and only look at the 15 NOCs that we examined in project 1.
1900-1964; 1968-1994; 1996 - 2008; 2010 - 2016
USA, FRA, GBR, ITA, GER, CAN, JPN, SWE, AUS, HUN, POL, SUI, NED, URS, FIN
The underlying csv files that I used to create my visualizations are in the following folder. Each csv file name details the filters employed. If you follow the installation steps below and use the .viz files, then you do not need to download these csv files, unless you want to create additional visualizations.
To address the research question, I assigned the variables to graph characteristics as such:
NOC: X axis and Color
Sport: Y axis and Shape
Medal: Z axis and Size
I thought that visualizing the data entries that didn't earn a medal (N/A) overcrowded the graph, so I went to "Manage Variables" --> "Medal" --> filter out N/A
Follow the Immersion Analytics installation instructions on this wiki subpage and follow the instructions for downloading the Oculus Quest 2 Visualizer
We are going to be analyzing .viz files that were created on a Desktop Visualizer and then uploaded to Google Drive, so please download those .viz files located in this folder https://drive.google.com/drive/folders/1bgAcac_Mk4qot4IqXVH-nMYD_zX1C5n9?usp=sharing.
Continue following the installation and setup instruction on this wiki subpage to open the .viz files within the Oculus Visualizer app.
Viewing the Visualizations
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