Analyzed Voter Behavior for FCEN UBA Elections

Day: 2024-09-22
Time: 05:35 to 06:00
Project: Teaching
Workspace: WP 1: Strategic / Growth &amp; Development
Status: Completed
Priority: MEDIUM
Assignee: Matías Nehuen Iglesias
Tags: Elections, Data Analysis, Voter Behavior, FCEN UBA

Description

The session aimed to analyze voter behavior for the FCEN UBA elections, focusing on graduate voters and their participation from 2021 to 2024.

Initiated an inquiry into the types of elections data available, focusing on voter turnout and party results.
Conducted an analysis of elections data specifically for FCEN UBA, examining voter status from 2021 and participation in 2024.
Outlined analytical methods to study the relationship between voter status in 2021 and voting behavior in 2024, including contingency tables and voter retention analysis.
Created a contingency table summarizing voting behavior across two election years.
Developed a new classification column categorizing voter behavior in 2021 and 2024 using six specific categories.

Successfully categorized voter behavior using a newly created column ‘Clasificación Voto’.
Provided a basis for further analysis of voting trends between 2021 and 2024.

Further analysis of the data using the new classification to derive insights on voter retention and activation rates.

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