Davisy

#Explore location type  vs bank account 

plt.figure(figsize=(16, 6))
sns.countplot('location_type', hue= 'bank_account', data=data)
plt.xticks(
    fontweight='light',
    fontsize='x-large'  
)

Davisy

#Explore gender_of_respondent vs bank account 

plt.figure(figsize=(16, 6))
sns.countplot('gender_of_respondent', hue= 'bank_account', data=data)
plt.xticks(
    fontweight='light',
    fontsize='x-large'  
)

Davisy

#Explore gender_of_respondent vs bank account 

plt.figure(figsize=(16, 6))
sns.countplot('gender_of_respondent', hue= 'bank_account', data=data)
plt.xticks(
    fontweight='light',
    fontsize='x-large'  
)

Davisy

#Explore cellphone_accesst vs bank account 

plt.figure(figsize=(16, 6))
sns.countplot('cellphone_access', hue= 'bank_account', data=data)
plt.xticks(
    fontweight='light',
    fontsize='x-large'  
)

Davisy

#Explore 'education_level vs bank account 

plt.figure(figsize=(16, 6))
sns.countplot('education_level', hue= 'bank_account', data=data)
plt.xticks(
    rotation=45, 
    horizontalalignment='right',
    fontweight='light',
    fontsize='x-large'  
)

Davisy

#Explore 'education_level vs bank account 

plt.figure(figsize=(16, 6))
sns.countplot('education_level', hue= 'bank_account', data=data)
plt.xticks(
    rotation=45, 
    horizontalalignment='right',
    fontweight='light',
    fontsize='x-large'  
)

Davisy

#Explore job_type vs bank account 

plt.figure(figsize=(16, 6))
sns.countplot('job_type', hue= 'bank_account', data=data)
plt.xticks(
    rotation=45, 
    horizontalalignment='right',
    fontweight='light',
    fontsize='x-large'  
)

Davisy

#import the package 

import pandas_profiling

Davisy

# generate report 

eda_report = pandas_profiling.ProfileReport(data)
eda_report

Davisy

#save the generated report to the html file

eda_report.to_file("eda_report.html")