Bivariate Analysis in Data Analysis 🔍
Today I explored Bivariate Analysis — studying the relationship between two variables.
🔹 Common Techniques:
• Numerical vs Numerical → scatter plots, correlation
• Categorical vs Numerical → boxplots, bar plots
• Categorical vs Categorical → cross-tabulation, heatmaps
🔹 Why it matters?
✅ Identifies patterns & relationships
✅ Detects dependency between variables
✅ Builds the foundation for predictive modeling
⚡ Fun Fact: Correlation ≠ Causation — just because two variables move together doesn’t mean one causes the other! 😉
Top comments (0)