Airbnb Case Study - Upgrad DS C33 - BI/DA Track

Himadri Shankar Sen

# Let us import the necessary python libraries :

import pandas as pd
import numpy as np
import seaborn as sns
import matplotlib.pyplot as plt
%matplotlib inline
import warnings 
warnings.filterwarnings('ignore')
import jovian

# Loading the Data :

df = pd.read_excel('AB_NYC_2019.xlsx')

# Checking the DataFrame :

df.head(5)

# Checking the Data Types included :

df.dtypes

id                                         int64
name                                      object
host_id                                    int64
host_name                                 object
neighbourhood_group                       object
neighbourhood                             object
latitude                                 float64
longitude                                float64
room_type                                 object
price                                      int64
minimum_nights                             int64
number_of_reviews                          int64
last_review                       datetime64[ns]
reviews_per_month                        float64
calculated_host_listings_count             int64
availability_365                           int64
dtype: object