Relational Plots in Seaborn

Program 1

Seaborn Dataset

import pandas as pd
import numpy as np
import seaborn as sns
import matplotlib.pyplot as plt

df_sales=pd.read_excel("D://scikit_data/Sale/sales.xlsx")
df_sales.head()

df_sales.info()

df_sales.isnull().sum()

df_sales.shape

sns.relplot(x='Sales',y='Profit',data=df_sales,hue='Order Priority',style='Ship Mode')

sns.relplot(x='Sales',y='Profit',data=df_sales,size='Discount')

sns.relplot(x='Sales',y='Profit',data=df_sales,size='Discount',sizes=(20,200),hue='Order Priority')

df_tips=pd.read_csv("D://scikit_data/Billing/tips.csv")

df_tips.head()

df_tips.info()

df_tips.shape

sns.relplot(x='tip',y='total_bill',data=df_tips,hue='sex',hue_order=['Male','Female'])

sns.relplot(x='tip',y='size',data=df_tips,hue='day')

df_sales.info()

sns.relplot(x='Sales',y='Profit',data=df_sales,col='Customer Segment',col_wrap=2,hue='Ship Mode')

sns.relplot(x='Sales',y='Profit',data=df_sales,hue='Region',col='Customer Segment',row='Product Category')