This content originally appeared on DEV Community and was authored by Aditi Sharma

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! 😉

Python #EDA #BivariateAnalysis #100DaysOfCode #DataAnalytics

This content originally appeared on DEV Community and was authored by Aditi Sharma

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Aditi Sharma | Sciencx (2025-09-17T12:14:32+00:00) 🚀 Day 18 of My Python Learning Journey. Retrieved from https://www.scien.cx/2025/09/17/%f0%9f%9a%80-day-18-of-my-python-learning-journey/

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