View visualization on RPubs: http://rpubs.com/michelledo202/abnb

The Airbnb dataset includes 2 major datasets on new users’ insights and app session whose details are as follows:

users_train.csv

• id: user id
• date_account_created: the date of account creation
• timestamp_first_active: timestamp of the first activity, note that it can be earlier than date_account_created or date_first_booking because a user can search before signing up
• date_first_booking: date of first booking
• gender
• age
• signup_method
• signup_flow: the page a user came to sign up from
• language: international language preference
• affiliate_channel: what kind of paid marketing
• affiliate_provider: where the marketing is e.g. google, craigslist, other
• first_affiliate_tracked: the first marketing the user interacted with before the signing up
• signup_app
• first_device_type
• first_browser
• country_destination: this is the target variable you are to predict

sessions.csv - web sessions log for users

• user_id: to be joined with the column ‘id’ in users table
• action
• action_type
• action_detail
• device_type
• secs_elapsed