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Bank Marketing.py
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#!/usr/bin/env python
# coding: utf-8
# # Bank Marketing
# In[142]:
#loading libraries
import pandas as pd
import numpy as np
import seaborn as sns
import matplotlib.pyplot as plt
import matplotlib.ticker as mtick
import warnings
warnings.filterwarnings("ignore")
# In[5]:
#Load dataset
bank = pd.read_csv("/Users/shanpriyahome/Personal/Family Folders/Priya/Python/Dataset/Project/bank/bank-full.csv", delimiter=';')
bank.head()
# In[6]:
bank.info()
# Observation: There are 17 coloumns with no null values
# In[7]:
bank.describe()
# In[8]:
bank.columns
# In[9]:
bank.corr()
# In[10]:
print("Shape of the dataset")
bank.shape
# In[11]:
print("[INFO] dataset summary")
print(bank.describe())
# In[12]:
print(bank.dtypes)
# In[13]:
print(bank.isnull().sum())
# # Categorical Variables
# In[14]:
cat_Var = pd.Categorical(bank)
print(cat_Var)
# In[15]:
print('\n')
print('________________________________________________________________________________')
print('Jobs:\n', bank['job'].unique())
print('________________________________________________________________________________')
print('Marital:\n', bank['marital'].unique())
print('________________________________________________________________________________')
print('Education:\n', bank['education'].unique())
print('________________________________________________________________________________')
print('\n')
# In[16]:
print('Default:\n', bank['default'].unique())
print('\n')
print('Housing:\n', bank['housing'].unique())
print('\n')
print('Loan:\n', bank['loan'].unique())
# In[17]:
Y = (bank['y'] == 'yes')*1
# # Job Deatils
# In[18]:
labels=bank['job'].value_counts().index
values=bank['job'].value_counts().values
plt.figure(figsize = (15, 8))
ax = sns.barplot(x=labels, y=values)
for i, p in enumerate(ax.patches):
height = p.get_height()
ax.text(p.get_x()+p.get_width()/2., height + 0.1, values[i],ha="center")
ax.tick_params(axis='x', labelsize=16)
ax.tick_params(axis='y', labelsize=16)
fmt = '%.0f'
#plt.xticks(rotation='vertical')
plt.xlabel('Jobs', fontsize=20)
plt.ylabel('Job Count', fontsize=20)
plt.title('JOBS OF THE CUSTOMERS', fontsize=20, y=1.03, weight='bold')
# # Marital Status
# In[19]:
labels=bank['marital'].value_counts().index
values=bank['marital'].value_counts().values
plt.figure(figsize = (15, 8))
ax = sns.barplot(x=labels, y=values)
for i, p in enumerate(ax.patches):
height = p.get_height()
ax.text(p.get_x()+p.get_width()/2., height + 0.1, values[i],ha="center")
ax.tick_params(axis='x', labelsize=16)
ax.tick_params(axis='y', labelsize=16)
#plt.xticks(rotation='vertical')
plt.xlabel('Marital Status', fontsize=20)
plt.ylabel('No of people', fontsize=20)
plt.title('MARITAL STATUS OF THE CUSTOMERS', fontsize=20, y=1.03, weight='bold')
# In[20]:
labels=bank['education'].value_counts().index
values=bank['education'].value_counts().values
plt.figure(figsize = (15, 8))
ax = sns.barplot(x=labels, y=values)
for i, p in enumerate(ax.patches):
height = p.get_height()
ax.text(p.get_x()+p.get_width()/2., height + 0.1, values[i],ha="center")
#plt.xticks(rotation='vertical')
ax.tick_params(axis='x', labelsize=16)
ax.tick_params(axis='y', labelsize=16)
plt.xlabel('education', fontsize=20)
plt.ylabel('No of people', fontsize=20)
plt.title('EDUCATION OF THE CUSTOMERS', fontsize=20, y=1.03, weight='bold')
# # Customer Contact Details:
# In[94]:
print('Customer Contact Values:\n', bank['contact'].unique())
# In[112]:
contact_labels = bank['contact'].value_counts().index
contact_values=bank['contact'].value_counts().values
contact_len= len(bank['contact'])
percentage_contact = []
# In[113]:
for i in contact_values:
print(i)
i = (i/contact_len)*100
percentage_contact.append(i)
print(percentage_contact)
# In[114]:
type(percentage_contact)
# In[115]:
plt.title('CONTACT DETAILS OF THE CUSTOMERS', fontsize=20, y=1.03, weight='bold')
sizes = percentage_contact
#sizes = [215, 130, 215]
colors = ['gold', 'yellowgreen', 'lightcoral']
textprops = {"fontsize":10}
wedgeprops = {"linewidth": 1, 'width':1, "edgecolor":"k"}
explode = (0.1, 0, 0) # explode 1st slice
#plt.pie(sizes, explode=explode, labels=contact_labels, colors=colors,autopct='%1.2f%%', shadow=True, startangle=140, textprops=textprops,wedgeprops = wedgeprops )
plt.pie(sizes, explode=explode, labels=contact_labels, colors=colors,autopct='%1.2f%%', shadow=True, startangle=140, textprops=textprops,wedgeprops = wedgeprops )
plt.axis('equal')
plt.show()
# In[168]:
plt.figure(figsize = (15, 8))
ax = sns.barplot(x=contact_labels, y=contact_values)
for i, p in enumerate(ax.patches):
print(percentage_contact[i])
height = p.get_height()
print(height)
ax.text(p.get_x()+p.get_width()/2., height + 0.1, percentage_contact[i], ha="center")
ax.tick_params(axis='x', labelsize=16)
ax.tick_params(axis='y', labelsize=16)
plt.xlabel('contact', fontsize=20)
plt.ylabel('No of people', fontsize=20)
plt.title('CONTACT OF THE CUSTOMERS', fontsize=20, y=1.03, weight='bold')
# In[111]:
plt.figure(figsize = (15, 8))
ax = sns.barplot(x=contact_labels, y=contact_values)
for p in ax.patches:
width = p.get_width()
print(width)
height = p.get_height()
print(height)
x, y = p.get_xy()
print(x,y)
ax.annotate(f'{height:.0%}', (x + width/2, y + height*1.02), ha='center')
ax.tick_params(axis='x', labelsize=16)
ax.tick_params(axis='y', labelsize=16)
plt.xlabel('contact', fontsize=20)
plt.ylabel('No of people', fontsize=20)
plt.title('CONTACT OF THE CUSTOMERS', fontsize=20, y=1.03, weight='bold')
# # Numerical Variable
# In[20]:
print(bank.select_dtypes(include=np.number).columns.tolist())
# In[21]:
#sns.set(rc={"figure.figsize": (10, 10)}); np.random.seed(0)
sns.set(rc={"figure.figsize": (25, 25)})
ax = sns.distplot(bank['age'],color="#DF0101",hist_kws = {'edgecolor':'blue'})
plt.xlabel('AGE', fontsize=20)
plt.ylabel('NO OF PEOPPLE', fontsize=20)
plt.title('AGE OF THE CUSTOMERS', fontsize=20, y=1.03, weight='bold')
plt.show()
# In[22]:
print('**************************************************')
print('\t Age Description \n')
print(bank['age'].describe())
print('**************************************************')
# In[37]:
plt.subplots(figsize = (25, 20))
sns.countplot(bank['age'])
plt.xlabel('AGE', fontsize=20)
plt.ylabel('NO OF PEOPPLE', fontsize=20)
plt.title('AGE OF THE CUSTOMERS', fontsize=20, y=1.03, weight='bold')
plt.show()
# In[ ]:
# In[ ]: