π 2024-09-22 β Session: Elections Data Analysis for FCEN UBA
π 05:35β06:00
π·οΈ Labels: Elections, Data Analysis, Voter Behavior, FCEN UBA, 2024 Elections
π Project: Teaching
β Priority: MEDIUM
Session Goal
The aim of this session was to analyze the elections data for FCEN UBA, focusing on graduate votersβ behavior and participation from 2021 to 2024.
Key Activities
- Inquired about the type of elections data and potential areas of analysis, such as voter turnout and party results.
- Conducted an analysis of elections data specifically for FCEN UBA, examining voter status from 2021 and participation in the 2024 elections.
- Outlined analytical methods to study voter behavior, including contingency tables, transition analysis, voter retention, activation rates, and drop-off analysis.
- Created a contingency table summarizing voting behavior across two election years, highlighting voter categories.
- Developed a classification system for voter behavior, creating a new column βClasificaciΓ³n Votoβ to categorize voters based on their behavior in 2021 and 2024.
Achievements
- Successfully analyzed the elections data for FCEN UBA, focusing on voter behavior and trends.
- Established a classification system for analyzing voter behavior across different election years.
Pending Tasks
- Further analysis of the contingency table results to derive more insights into voting trends.
- Potential expansion of the classification system to include more nuanced voter behavior categories.