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for loop for multiple scatter plots

some_features = ["Hour","Holiday",'Rainfall(mm)','Snowfall (cm)','weekdays_weekend']
count=1
plt.subplots(figsize=(20, 18))
for some_individual_feature in some_features:
    plt.subplot(5,1,count)
    sns.scatterplot(bike_sharing_data["Rented Bike Count"],bike_sharing_data[some_individual_feature])
    count+=1

plt.show()
Comment

for loop for multiple scatter plots

count=1
plt.subplots(figsize=(10, 8))
for i in df.columns:
    plt.subplot(3,2,count)
    sns.scatterplot(df["cnt"],df[i])
    count+=1

plt.show()
Comment

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