Activity Log #6: Data Visualization

Data Visualizations:

This stacked bar graph describes the distribution of alumni responses sorted by class graduation. “Pre class of 1960 alumni” indicates any alumni respondents who graduated before 1960, and vice versa for “post class of 1960 alumni.”

 

This pie chart addresses the distribution of responses of alumni and non-alumni who either support or are against co-ed.
This visualization is a matrix plot that reveals bivariate relationships between combinations of variables (in this case, location and alumni name). NOTE: I could not figure out how to add titles and axes labels to this graph

Google Sheets: https://docs.google.com/spreadsheets/d/1MOd0-pGE0SpvKcVJhGMf6Dj2zZ29QFWuuC46ckZtRFI/edit#gid=0

RawGraphs: https://app.rawgraphs.io/

Crafting these data visualizations was surprisingly difficult. I found it hard to determine which graphs used which types of data (categorical or numerical). When I did make the determination, I found that I lacked much numerical data, limiting myself to a select few types of visualizations. I tried for hours to create a map of the United States, which I would use to display where each respondent was from, but I was unable to materialize the visualization. If I had more time, I would have collected more data and analyzed the purpose and meaning of each visualization both Google Sheets and RawGraphs offered. I used resources like Google to research creative ways to display data. In the future, to visceralize my data, I could add photos of the respondents to add a sense of weight and meaningfulness to the responses. I look forward to improving my ability to create graphics that enhance my future assignments in academia and professionally.

 

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