1992 Presidential Election Data Analysis: Chi-Square & CHAID Decision Trees

Welcome to our deep dive into the fascinating world of election data analysis! 📊
In this video, we explore the 1992 Presidential Election dataset using advanced statistical techniques and decision tree analysis. Join us as we:
1. Perform an Exploratory Data Analysis (EDA) to uncover hidden patterns and trends.
2. Use the Chi-Square test to analyze the relationship between categorical variables.
3. Build and interpret a CHAID Decision Tree to predict voter behavior and preferences.
Our comprehensive walkthrough covers everything from data preparation to visualizing and interpreting the results. Whether you're a data science enthusiast, a political data analyst, or just curious about how data can reveal insights into voter demographics, this video has something for you!
Highlights:
1. Introduction to the dataset and variables.
2. Step-by-step EDA process, including summary statistics and visualizations.
3. Chi-Square test for independence explained and applied.
4. Building and interpreting a CHAID Decision Tree.
5. Key findings and insights from our analysis.
Tools Used:
SPSS for data analysis and visualization.
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