Box Plots and Whiskers
Box plot recap
Box plots show:
- Median (middle line)
- Q1 and Q3 (box)
- Spread (IQR)
- Outliers (points)
They are excellent for comparing a numeric variable across categories.
Seaborn boxplot
Boxplot
import seaborn as sns
import matplotlib.pyplot as plt
tips = sns.load_dataset("tips")
plt.figure(figsize=(7, 4))
sns.boxplot(data=tips, x="day", y="total_bill")
plt.title("Total bill by day")
plt.xlabel("Day")
plt.ylabel("Total bill")
plt.tight_layout()
plt.show()Boxplot
import seaborn as sns
import matplotlib.pyplot as plt
tips = sns.load_dataset("tips")
plt.figure(figsize=(7, 4))
sns.boxplot(data=tips, x="day", y="total_bill")
plt.title("Total bill by day")
plt.xlabel("Day")
plt.ylabel("Total bill")
plt.tight_layout()
plt.show()Add hue for a second grouping
Boxplot with hue
import seaborn as sns
import matplotlib.pyplot as plt
tips = sns.load_dataset("tips")
plt.figure(figsize=(7, 4))
sns.boxplot(data=tips, x="day", y="total_bill", hue="sex")
plt.title("Total bill by day and sex")
plt.tight_layout()
plt.show()Boxplot with hue
import seaborn as sns
import matplotlib.pyplot as plt
tips = sns.load_dataset("tips")
plt.figure(figsize=(7, 4))
sns.boxplot(data=tips, x="day", y="total_bill", hue="sex")
plt.title("Total bill by day and sex")
plt.tight_layout()
plt.show()Tips
- Treat outliers as signals, not always as errors.
- If you need to see the raw points, add
stripplotstripplot.
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