4.2.2 Boxplot

In descriptive statistics, a box plot or boxplot is a method for graphically depicting groups of numerical data through their quartiles.

Box plot describes data distribution with 5 measures. Generally, these five numbers illustrate a lot of information about the distribution of a variable.

Interquartile range (IQR): 25th to 75th percentile

• minimum (Q1 - 1.5 * IQR)

• first quartile (Q1/ 25th percentile),

• median (50th percentile)

• third quartile(Q3 / 75th percentile)

• maximum. (Q1 + 1.5 * IQR)

sns.set(style="ticks",font_scale=1.3 )
​sns.boxplot(x="day", y="total_bill", hue="smoker", palette=["b", "c"], data=tips)            sns.despine(offset=5, trim=True)plt.legend(bbox_to_anchor=(1.05, 1), loc=2)

sns.boxenplot(x="day", y="total_bill", hue="time", palette=["b", "r"], data=tips)            
sns.despine(offset=10, trim=True)plt.legend(bbox_to_anchor=(1.05, 1), loc=2)