Da Descriptive Statistics — Free Data Analytics Tutorial
Learn Da Descriptive Statistics in Data Analytics with a free, beginner-friendly tutorial, examples and practice for Indian students on Syllab.in.
TL;DR: Learn Da Descriptive Statistics in Data Analytics with a free, beginner-friendly tutorial, examples and practice for Indian students on Syllab.in.
Written & reviewed by the Syllab.in Academic Team (CBSE/NCERT subject experts) · Updated
Da Descriptive Statistics in Data Analytics
Describe data with measures: mean (average), median (middle), mode (most frequent).
Spread: std (standard deviation), variance, IQR (interquartile range).
df.describe() gives quick summary: count, mean, std, min, 25%, 50%, 75%, max.
Skewness: >0 right-skewed, <0 left-skewed, ≈0 symmetric.
Kurtosis measures tail heaviness (outlier presence).
Da Descriptive Statistics — Syntax
# Quick summary: df.describe() # Specific stats: df['col'].mean(), .median(), .std(), .var() # Skewness: df['col'].skew() # Kurtosis: df['col'].kurtosis()
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