Advanced Seaborn: The Complete Statistical Charting Cheatsheet

Which Chart When? A Seaborn Decision Guide With Real Data Your DataFrame has 6 numeric columns and a stakeholder asks "Show me the distribution, the outliers, and how everything relates — in one go." You could try 10 different plots at random, or you can follow a decision tree. This article turns the cheatsheet into that tree — each chart is picked for a specific question, shown on the same mini order dataset so you can compare them side by side.

1. The Data We Will Reuse for Every Chart 10 orders — same columns as the course, small enough to hold in your head:

order_id customer_tier region order_amount discount items 1001 Gold North 420 0.05 3 1002 Silver South 85 0.20 1 1003 Gold North 890 0.02 5 1004 Bronze East 45 0.30 1 1005 Silver North 210 0.10 2 Keep this table in mind — every chart below is just a different lens on the same rows.

2. Decision Tree: Ask One Question, Pick One Chart Your Question Chart What You See Instantly One-Liner "Is order_amount skewed or normal?" sns.histplot(..., kde=True) Bars + smooth density curve — long right tail = skew, two humps = two customer types sns.histplot(data=df, x='order_amount', kde=True, bins=30, hue='customer_tier') "Are Bronze orders outliers vs Gold?" sns.boxplot() Box = Q1→median→Q3, whiskers = 1.5×IQR, dots = outliers — one box per tier sns.boxplot(data=df, x='customer_tier', y='order_amount', showmeans=True) "Same as boxplot but what's the shape inside?" sns.violinplot() Same quartiles as boxplot, but the width = density — fatter where more orders cluster; split=True compares two groups back-to-back sns.violinplot(data=df, x='region', y='order_amount', hue='customer_tier', split=True, inner='quartile') "How do all numeric columns relate at once?" sns.pairplot() Grid of scatter plots for every pair + histograms on the diagonal — fastest way to spot "discount goes up when order_amount goes down" sns.pairplot(df[['order_amount','discount','items']], hue='customer_tier', corner=True, diag_kind='kde')

3. Reading a Box vs Violin — Same Data, Two Stories Take order_amount for Gold vs Bronze from the table above:

Boxplot collapses each tier to 5 numbers: min whisker, Q1, median, Q3,