Accommodates and instant_bookable variables cleaned

course-dprep / what-influences-AirBnB-prices

Estimating the effect of Hawaiian AirBnB listing characteristics, the time until the booking starts (in days) and the season on the price per night.

2 stars 4 forks source link

Closed KorayKul closed 2 years ago

KorayKul commented 2 years ago

Summary:

First regarding to "accommodates" variable one row is removed from all three data sets (june,dec,mar) as it is not logical for a airbnb listing does not accomodate anyone. After checking the Airbnb site it is acknowledged that this listing belongs to a hotel. And probably made a data entry error.
Second regarding to "instant_bookable" not any missing values identified, and created a new dummy variable called instant_bookable_dummy for all three data sets(june,dec,mar).

KorayKul commented 2 years ago

Accommodates and instant_bookable variables cleaned. Shall we merged with master branch? @Ana042 @alebock @MerelvStekelenburg