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 iddate_account_created
: the date of account creationtimestamp_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 update_first_booking
: date of first bookinggender
age
signup_method
signup_flow
: the page a user came to sign up fromlanguage
: international language preferenceaffiliate_channel
: what kind of paid marketingaffiliate_provider
: where the marketing is e.g. google, craigslist, otherfirst_affiliate_tracked
: the first marketing the user interacted with before the signing upsignup_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 tableaction
action_type
action_detail
device_type
secs_elapsed