Created 2 years ago
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