Cluster the locations according to their availability.
From the analysis the travelers should see e.g. 20% of all listings are available 365 days/year, 30% of all listing are available 180 days/year. More important Informations could be, the availability of room types, or how is the availability according to the prices, e.g. are listings unter 100$ still available.
Furthermore the User should see which listings are not available anymore. Then how available are listings with a lot of reviews.
How many NaN values? what do we do with NaN values?
Cluster the locations according to their availability.
From the analysis the travelers should see e.g. 20% of all listings are available 365 days/year, 30% of all listing are available 180 days/year. More important Informations could be, the availability of room types, or how is the availability according to the prices, e.g. are listings unter 100$ still available.
Furthermore the User should see which listings are not available anymore. Then how available are listings with a lot of reviews.
How many NaN values? what do we do with NaN values?