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()