In this kernel we are focusing on data preprocessing and data visualisation of New York City Airbnb Open Data Airbnb listings and metrics in NYC, NY, USA (2019)for linear regression.
Since 2008, guests and hosts have used Airbnb to expand on traveling possibilities and present more unique, personalized way of experiencing the world. This dataset describes the listing activity and metrics in NYC, NY for 2019. This data file includes all needed information to find out more about hosts, geographical availability, necessary metrics to make predictions and draw conclusions.
This data contains 16 columns, 47905 unique values(samples). Imported all necessary files and libraries, We removed unnecessary data from the datset like last review, reviews per month and host name as they donot support the data required. We filled the null values with zero constant and did the visualization using seaborn, pyplot, matplotlib.