make list of variables to include

[alebock]

IV s to include in regression from listings dataset (Hawaii)

• (optional) neighbourhood_group_cleansed (variable takes values: Hawaii, Honolulu, Kauai, Maui)
• room_type (variable takes values: Entire home/apt, Private room, Shared room, Hotel room)
• accommodates (numeric, number pdf people that can stay at the property)
• bathrooms_text (need to extract the number of baths and type of bath (?/shared/private)
• bedrooms (numeric)
• beds (numeric)
• instant_bookable (boolean)

Optional IVs (might be interesting)

• review_scores_rating
• review_scores_accuracy
• review_scores_cleanliness
• review_scores_checkin
• review_scores_communication
• review_scores_location
• review_scores_value

DV

• price (calendar datafile)

Group by:

• season (calendar datafile)

Merge by:

• id

[ana-bianca-luca]

I will take the bathrooms_text

[alebock]

I'll take room_type and neighbourhood_group_cleansed

[MerelvStekelenburg]

I'll review bedrooms & beds

[KorayKul]

I will review accomodates and and instant_bookable

[alebock]

I will also take the overall review scores, we also decided not to include the detailed review scores.