Steps –

1. 1. Load the dataset using Pandas dataframe

1. Select any column to visualize
2. Plot boxplot using Pandas
   OR
3. Plot boxplot using Seaborn

Python Code :

import pandas as pd

#load data

data = pd.read_csv(‘insurance.csv’)

data.head(10)

>> data.describe()

# In pandas boxplot one attribute, column is required to plot boxplot
# Column can take name of one column of the dataset or the list of columns
data.boxplot(column=[‘age’],figsize=[10,7])

# We can group data as well.

data.boxplot(column=[‘age’], by=[‘gender’], figsize=[10,7])

# import the library seaborn as sns 

import seaborn as sns

from matplotlib import pyplot as plt

#set the style of seaborn as whitegrid

sns.set_style("whitegrid") 

# Seaborn takes minimum of 2 attributes to plot a boxplot 

# x = name of column and data = dataframe

plt.figure(figsize=(12,6))