Univariate Analysis in Data Analysis 📊
Today I explored Univariate Analysis — analyzing a single variable at a time.
It’s the first step to understand data distribution and spot patterns.
🔹 What it involves:
• Categorical Data → frequency tables, bar charts, pie charts.
• Numerical Data → histograms, boxplots, descriptive stats (mean, median, mode, variance).
🔹 Why it matters?
✅ Reveals data distribution
✅ Detects outliers & anomalies
✅ Helps in choosing the right model/technique
⚡ Fun Fact: A simple histogram can uncover hidden data problems that fancy ML models might miss!
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