Seaborn Scatterplot Method

Program 1

import seaborn as sns
import matplotlib.pyplot as plt
import numpy as np
import seaborn as sns
df_tips=sns.load_dataset('tips')
print(df_tips.info())
plt.figure(figsize=(15,10))
sns.scatterplot(x="total_bill",y="tip",hue='time',style='smoker',data=df_tips)
plt.title("Scatter plot of Bill vs Tip")
plt.xlabel("Total Bill")
plt.ylabel("Tip")
plt.show()

Program 2

Seaborn Dataset

import seaborn as sns
import matplotlib.pyplot as plt
import numpy as np
import seaborn as sns
df_titanic=sns.load_dataset('titanic')

#sns.scatterplot(x='age',y='fare',data=df_titanic)

#sns.scatterplot(x='age',y='fare',data=df_titanic,hue='sex')
#sns.scatterplot(x='age',y='fare',data=df_titanic,hue='sex',style='who')
# sns.scatterplot(x='age',y='fare',data=df_titanic,hue='sex',style='who',size='who',sizes=(100,500))
# plt.title("Scatter plot of Age vs Fare")
# plt.xlabel("Age")
# plt.ylabel("Fare")
# plt.show()
#print(df_df_titanic.info())
#print(df_df_titanic.isnull().sum())

sns.scatterplot(x='age',y='pclass',data=df_titanic)
plt.title("Scatter plot of Age vs Class")
plt.xlabel("Age")
plt.ylabel("Class")
plt.show()