8. Boxplot#

  • Used to find outliers

import seaborn as sns
import pandas as pd
data = {'Month':['Jan','Jan','March','April','Jan','Jan','March','April','Jan','Jan','March','April'],
        'Sales': [99, 102, 905, 120,12,12,12,22,12,12,12,430]
       }
df=pd.DataFrame(data)

sns.boxplot(
x='Sales',
data=df,
);
../_images/cce411d0d97dcee48e1342335a9eccbb62f4ccff4fe0a58c5d2981a4c905f5c6.png

8.1. Basic Stats#

image

  • Median - 50 Percentile

  • 1st and 3rd Quartiles (25th & 75th percentiles) ( Most important !!)

    • 50%

      • 50 percent of data will be inside this box (inside Q1 and Q3)

      • IQR = difference between this Q1 & Q3