text_plain_output_1.png image_output_1.png
import matplotlib.pyplot as plt

import pandas as pd

import seaborn as sns

df = pd.read_csv('/kaggle/input/sales-store-product-details/Salesstore.csv')

df.isna().sum()

plot_1=sns.histplot(data=df, x='Ship_Mode')
plt.show()
plot_2=sns.histplot(data=df, x='Order_Priority')
plt.show()
plot_3=sns.histplot(data=df, x='Customer_Segment')
plt.show()
plot_4=sns.histplot(data=df, x='Product_Category')
plt.show()
plot_5=sns.histplot(data=df, x='Product_Container')
plt.show()

plot_6=sns.barplot(data=df,x='Order_Priority',y='Profit',hue='Ship_Mode')
plt.show()
plot_7=sns.barplot(data=df,x='Region',y='Profit',hue='Ship_Mode')
plt.xticks(rotation=45)
plt.show()
plot_8=sns.barplot(data=df,x='Region',y='Sales',hue='Ship_Mode')
plt.xticks(rotation=45)
plt.show()
plot_9=sns.barplot(data=df,x='Region',y='Profit',hue='Customer_Segment')
plt.xticks(rotation=45)
plt.show()
plot_10=sns.barplot(data=df,x='Region',y='Profit',hue='Product_Category')
plt.xticks(rotation=45)
plt.show()
plot_11=sns.lineplot(data=df,x='Order_Quantity',y='Sales')
plt.show()
plot_12=sns.lmplot(data=df,x='Order_Quantity',y='Profit')
plt.show()

plot_14=sns.barplot(data=df,x='Product_Category',y='Profit',hue='Product_Container')
plt.show()

plot_11 = sns.regplot(data=df, x='Sales', y='Profit')
plt.show()