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Program 1
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')