BestPlace: Retail and GIS Data Analytics, POI Database Solutions for CPG & FMCG, Feature Enrichment for Machine Learning
# | rating_score |
review_count |
last_review_date |
days_from_last_review |
existence_confidence_level |
chain_name |
number of bus stops in 5 min walk |
number of bus stops in 50 m radius |
number of bus stops in 100 m radius |
number of bus stops in 200 m radius |
distance to the nearest bus stop (in 500 m radius) |
number of train stations in 5 min walk |
number of train stations in 50 m radius |
number of train stations in 100 m radius |
number of train stations in 200 m radius |
number of train stations in 300 m radius |
number of train stations in 500 m radius |
distance to the nearest train station (in 500 m radius) |
number of metro stations in 5 min walk |
number of metro stations in 50 m radius |
number of metro stations in 100 m radius |
number of metro stations in 200 m radius |
number of metro stations in 300 m radius |
number of metro stations in 500 m radius |
distance to the nearest metro station (in 500 m radius) |
number of restaurants in 5 min walk |
number of restaurants in 50 m radius |
number of restaurants in 100 m radius |
number of restaurants in 200 m radius |
number of restaurants in 300 m radius |
number of restaurants in 500 m radius |
distance to the nearest restaurant (in 500 m radius) |
number of cafes in 5 min walk |
number of cafes in 50 m radius |
number of cafes in 100 m radius |
number of cafes in 200 m radius |
number of cafes in 300 m radius |
number of cafes in 500 m radius |
distance to the nearest cafe (in 500 m radius) |
number of bars/pubs/clubs in 5 min walk |
number of bars/pubs/clubs in 50 m radius |
number of bars/pubs/clubs in 100 m radius |
number of bars/pubs/clubs in 200 m radius |
number of bars/pubs/clubs in 300 m radius |
number of bars/pubs/clubs in 500 m radius |
distance to the nearest bar/pub/club (in 500 m radius) |
number of hotels in 5 min walk |
number of hotels in 50 m radius |
number of hotels in 100 m radius |
number of hotels in 200 m radius |
number of hotels in 300 m radius |
number of hotels in 500 m radius |
distance to the nearest hotel (in 500 m radius) |
number of hostels in 5 min walk |
number of hostels in 50 m radius |
number of hostels in 100 m radius |
number of hostels in 200 m radius |
number of hostels in 300 m radius |
number of hostels in 500 m radius |
distance to the nearest hostel (in 500 m radius) |
number of malls in 5 min walk |
number of malls in 50 m radius |
number of malls in 100 m radius |
number of malls in 200 m radius |
number of malls in 300 m radius |
number of malls in 500 m radius |
distance to the nearest mall (in 500 m radius) |
number of business centers in 5 min walk |
number of business centers in 50 m radius |
number of business centers in 100 m radius |
number of business centers in 200 m radius |
number of business centers in 300 m radius |
number of business centers in 500 m radius |
distance to the nearest business center (in 500 m radius) |
number of fitness/gyms in 5 min walk |
number of fitness/gyms in 50 m radius |
number of fitness/gyms in 100 m radius |
number of fitness/gyms in 200 m radius |
number of fitness/gyms in 300 m radius |
number of fitness/gyms in 500 m radius |
distance to the nearest fitness/gym (in 500 m radius) |
number of swimming pools in 5 min walk |
number of swimming pools in 50 m radius |
number of swimming pools in 100 m radius |
number of swimming pools in 200 m radius |
number of swimming pools in 300 m radius |
number of swimming pools in 500 m radius |
distance to the nearest swimming pool (in 500 m radius) |
number of stadiums in 5 min walk |
number of stadiums in 50 m radius |
number of stadiums in 100 m radius |
number of stadiums in 200 m radius |
number of stadiums in 300 m radius |
number of stadiums in 500 m radius |
distance to the nearest stadium (in 500 m radius) |
number of parks in 5 min walk |
number of parks in 50 m radius |
number of parks in 100 m radius |
number of parks in 200 m radius |
number of parks in 300 m radius |
number of parks in 500 m radius |
distance to the nearest park (in 500 m radius) |
number of beachs in 5 min walk |
number of beachs in 50 m radius |
number of beachs in 100 m radius |
number of beachs in 200 m radius |
number of beachs in 300 m radius |
number of beachs in 500 m radius |
distance to the nearest beach (in 500 m radius) |
number of SPA in 5 min walk |
number of SPA in 50 m radius |
number of SPA in 100 m radius |
number of SPA in 200 m radius |
number of SPA in 300 m radius |
number of SPA in 500 m radius |
distance to the nearest SPA (in 500 m radius) |
number of wellness centers in 5 min walk |
number of wellness centers in 50 m radius |
number of wellness centers in 100 m radius |
number of wellness centers in 200 m radius |
number of wellness centers in 300 m radius |
number of wellness centers in 500 m radius |
distance to the nearest wellness center (in 500 m radius) |
number of cinemas in 5 min walk |
number of cinemas in 50 m radius |
number of cinemas in 100 m radius |
number of cinemas in 200 m radius |
number of cinemas in 300 m radius |
number of cinemas in 500 m radius |
distance to the nearest cinema (in 500 m radius) |
number of universities in 5 min walk |
number of universities in 50 m radius |
number of universities in 100 m radius |
number of universities in 200 m radius |
number of universities in 300 m radius |
number of universities in 500 m radius |
distance to the nearest university (in 500 m radius) |
number of schools/kindergartens in 5 min walk |
number of schools/kindergartens in 50 m radius |
number of schools/kindergartens in 100 m radius |
number of schools/kindergartens in 200 m radius |
number of schools/kindergartens in 300 m radius |
number of schools/kindergartens in 500 m radius |
distance to the nearest school/kindergarten (in 500 m radius) |
number of households in 5 min walk |
number of households in 50 m radius |
number of households in 100 m radius |
number of households in 200 m radius |
number of households in 300 m radius |
number of households in 500 m radius |
maximum total footfall intensity in 30 m radius |
maximum transport - office footfall intensity in 30 m radius |
maximum transport - educational footfall intensity in 30 m radius |
maximum transport - horeca footfall intensity in 30 m radius |
maximum transport - foodstore footfall intensity in 30 m radius |
maximum transport - sport footfall intensity in 30 m radius |
maximum residential - transport footfall intensity in 30 m radius |
maximum residential - office footfall intensity in 30 m radius |
maximum residential - educational footfall intensity in 30 m radius |
maximum residential - horeca footfall intensity in 30 m radius |
maximum residential - foodstore footfall intensity in 30 m radius |
maximum residential - sport footfall intensity in 30 m radius |
maximum total footfall intensity in 50 m radius |
maximum transport - office footfall intensity in 50 m radius |
maximum transport - educational footfall intensity in 50 m radius |
maximum transport - horeca footfall intensity in 50 m radius |
maximum transport - foodstore footfall intensity in 50 m radius |
maximum transport - sport footfall intensity in 50 m radius |
maximum residential - transport footfall intensity in 50 m radius |
maximum residential - office footfall intensity in 50 m radius |
maximum residential - educational footfall intensity in 50 m radius |
maximum residential - horeca footfall intensity in 50 m radius |
maximum residential - foodstore footfall intensity in 50 m radius |
maximum residential - sport footfall intensity in 50 m radius |
unique_users_overall |
unique_days_overall |
mean_of_daily_unique_users |
sum_of_daily_unique_users |
sum_of_daily_unique_users_gte2 |
mean_of_daily_unique_users_gte2 |
sum_of_daily_unique_users_gte3 |
mean_of_daily_unique_users_gte3 |
sum_of_users_with_2_tracks_in_1_hours |
mean_of_users_with_2_tracks_in_1_hours |
sum_of_users_with_3_tracks_in_1_hours |
mean_of_users_with_3_tracks_in_1_hours |
sum_of_users_with_3_tracks_in_2_hours |
mean_of_users_with_3_tracks_in_2_hours |
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5 | Xxxxx | Xxxxxxx | Xxxxx | xxxxxxxxx | xxxxxxxxx | Xxxxxxx | xxxxxxx | xxxxx | xxxxxxx | xxxxxxxx | Xxxxxxx | xxxxxxxx | Xxxxxxxxxx | Xxxxxxx | xxxxxxx | xxxxxx | Xxxxxxxxxx | Xxxxx | xxxxxxx | Xxxxxxxx | Xxxxxxxxxx | Xxxxx | Xxxxxx | xxxxx | xxxxx | Xxxxxxxx | Xxxxxx | Xxxxx | Xxxxx | xxxxx | Xxxxxxx | Xxxxxxxxx | xxxxxx | Xxxxxxxxxx | Xxxxxxxxx | xxxxx | Xxxxxxxx | xxxxxxxxxx | Xxxxxxx | Xxxxxxxx | Xxxxxx | Xxxxxxxxxx | xxxxxx | xxxxxxxxx | Xxxxxx | xxxxxxxxx | Xxxxxxxxx | Xxxxxxxxxx | Xxxxxxxxxx | Xxxxxxxx | Xxxxxxxxx | Xxxxxx | Xxxxxxxx | Xxxxxxxxxx | xxxxxxxxx | xxxxxx | xxxxxx | xxxxxxxxx | xxxxx | Xxxxxxxxxx | Xxxxxxxxxx | Xxxxxxx | xxxxxxxxxx | xxxxxxxx | xxxxxxxxx | Xxxxxxxxxx | Xxxxxx | Xxxxxxx | Xxxxxxxxx | xxxxxxxxx | xxxxxx | Xxxxx | xxxxxxxxxx | xxxxxx | xxxxx | xxxxxxxxx | xxxxxxxx | Xxxxxxx | Xxxxxx | xxxxxxx | xxxxxxxxxx | xxxxxxxxxx | Xxxxxxxx | xxxxxxxx | xxxxxxxx | Xxxxxxxx | xxxxxxxxxx | xxxxxxxx | Xxxxxx | xxxxxxxxx | Xxxxxx | xxxxxxxxxx | xxxxxxxxxx | xxxxxxx | Xxxxx | xxxxxxx | Xxxxxxx | Xxxxxxx | Xxxxxxxxxx | xxxxxxxxx | Xxxxx | Xxxxxxx | xxxxx | xxxxxxxxx | xxxxxxx | xxxxxxxxxx | Xxxxx | Xxxxxx | xxxxx | Xxxxxxxx | xxxxxxx | xxxxxxxxx | Xxxxxxxx | xxxxxxx | Xxxxxxxx | Xxxxx | Xxxxxxxxxx | Xxxxxxxx | Xxxxxxxxxx | xxxxxxxxxx | Xxxxxxx | xxxxxxx | xxxxxxxx | Xxxxxxxx | xxxxxxxx | Xxxxxxxxx | Xxxxxxxx | xxxxx | xxxxxx | Xxxxxx | Xxxxxxxxx | Xxxxxxxx | Xxxxxxxxx | xxxxxxxx | xxxxx | xxxxxx | Xxxxxxxxx | Xxxxx | xxxxxxxx | Xxxxxxxxx | xxxxx | Xxxxxxx | xxxxxxx | xxxxx | Xxxxx | Xxxxxxxxx | Xxxxxxxx | xxxxxxxxx | xxxxxxxxxx | Xxxxxxxxx | Xxxxxxxxxx | Xxxxxxxxx | Xxxxxxxxxx | Xxxxxxxx | xxxxxxxxx | Xxxxxxxxxx | xxxxxxxx | xxxxxxxx | Xxxxx | Xxxxxx | xxxxxxxxx | xxxxxxxx | Xxxxxxx | xxxxxx | xxxxxx | Xxxxxx | Xxxxxxxxxx | Xxxxxxxxxx | Xxxxxxx | Xxxxxx | xxxxxxxx | Xxxxx | xxxxxxx | Xxxxxxxx | Xxxxxxxxxx | xxxxxxx | Xxxxxx | Xxxxxx | xxxxx | xxxxxxxx | Xxxxxxxxxx | xxxxxxxxx | xxxxxxxxxx | xxxxx | xxxxxxxx | Xxxxxxxx | Xxxxx | Xxxxxxxxx | Xxxxxx | Xxxxxxxxxx | Xxxxxxxxx | Xxxxxxxxx | xxxxxxxx | Xxxxx | xxxxxxxxxx | Xxxxxxx | xxxxxxxx | xxxxx | xxxxxxxxx | xxxxxxxx | Xxxxxx | xxxxxxx | xxxxxxx | Xxxxxxxx | Xxxxx | xxxxxxx | Xxxxxxxxxx | xxxxxxx | xxxxxxxxx | xxxxx | xxxxxxxxx | xxxxxx | Xxxxxxxxx | Xxxxxxxxxx | Xxxxxxxx | xxxxxx | Xxxxxxxxxx | xxxxx | Xxxxxxxxxx | xxxxxxx | xxxxx | Xxxxxxxx | Xxxxxx | Xxxxxxx | Xxxxxx | xxxxx | Xxxxxxxxx | xxxxxx |
6 | Xxxxxxxxxx | Xxxxxxxx | xxxxxxx | xxxxx | xxxxxx | Xxxxxxxx | Xxxxxxx | xxxxx | Xxxxxx | Xxxxxx | Xxxxxx | Xxxxxxxxx | xxxxxxxxxx | xxxxxxxxx | Xxxxx | Xxxxxxxxx | xxxxx | xxxxxxxx | xxxxxxxxxx | Xxxxx | xxxxx | Xxxxxx | Xxxxxxxxx | xxxxxxxxxx | xxxxxxxxxx | xxxxx | xxxxxxxxxx | Xxxxxxxxx | Xxxxx | xxxxx | xxxxxxxx | Xxxxx | Xxxxxx | Xxxxxxxxxx | xxxxxx | xxxxxxxxx | xxxxxxxxx | xxxxxxx | Xxxxx | xxxxxxxxx | xxxxxxxxx | xxxxx | Xxxxxxx | Xxxxxxxx | Xxxxx | Xxxxxx | xxxxxxxx | Xxxxxx | Xxxxxxxxxx | Xxxxxx | xxxxxxxx | xxxxxxx | Xxxxxxxxx | Xxxxxxxx | Xxxxxxxxxx | xxxxxxx | xxxxxx | xxxxxxx | Xxxxxxx | Xxxxxx | Xxxxxxx | xxxxxxx | Xxxxxx | xxxxxxxxx | Xxxxxxxxxx | xxxxxxxxx | xxxxxx | Xxxxxxx | Xxxxxxxx | xxxxxxxx | Xxxxx | xxxxxxx | Xxxxxx | Xxxxxxxxxx | Xxxxxxx | xxxxxx | xxxxxx | Xxxxxx | xxxxxxxxx | xxxxx | Xxxxxxxxxx | Xxxxxxxx | Xxxxxxxxx | xxxxxxxxx | xxxxxx | Xxxxxxxx | Xxxxx | Xxxxx | Xxxxxxxxxx | Xxxxxxxxx | Xxxxxxxxx | xxxxxxxxx | xxxxxxx | xxxxxxx | xxxxxxxxx | Xxxxxxxxxx | xxxxxxxx | Xxxxx | xxxxx | Xxxxxx | Xxxxxxx | Xxxxxxxxxx | xxxxx | xxxxxx | xxxxxx | xxxxxxxx | Xxxxxx | xxxxxxxxx | Xxxxxxxxx | xxxxxxxxx | xxxxxxx | xxxxxxxxxx | xxxxxxxx | xxxxxxxxxx | Xxxxxxxx | xxxxxxxxxx | xxxxxxx | xxxxxx | xxxxx | Xxxxxxxxx | xxxxxxxx | Xxxxxx | xxxxxxxxxx | xxxxxxxxxx | Xxxxxx | Xxxxxxx | Xxxxxxxxxx | Xxxxxxxx | Xxxxxxx | xxxxxxxx | Xxxxx | Xxxxxxx | Xxxxxxxx | Xxxxxxx | Xxxxxxxxx | xxxxxxxxx | xxxxxxxxx | Xxxxx | xxxxxxxxxx | xxxxxxxxxx | Xxxxx | Xxxxx | xxxxxxxxxx | Xxxxxxxxx | Xxxxx | Xxxxxxx | xxxxxxxx | Xxxxxxxxx | Xxxxxxxxx | xxxxxxxxx | xxxxxxxxxx | xxxxx | Xxxxxx | xxxxxxxxx | xxxxx | Xxxxxxx | xxxxxxx | xxxxxxxxx | Xxxxxx | xxxxxxxxxx | xxxxx | Xxxxxxxxx | Xxxxxxxxx | Xxxxxxxxx | xxxxxxx | Xxxxxx | Xxxxxxx | Xxxxxxxxxx | xxxxxx | xxxxxxxxx | xxxxxxx | Xxxxxxxxxx | xxxxxxxxx | xxxxxxxxx | Xxxxxxx | Xxxxxxxx | xxxxxxx | Xxxxxxxxx | xxxxxxxxxx | xxxxxx | Xxxxxxxxx | Xxxxx | xxxxxxxxx | Xxxxxxxx | Xxxxxx | Xxxxxxxx | Xxxxxxxxx | Xxxxxxxxx | Xxxxxxx | Xxxxxx | Xxxxx | Xxxxx | xxxxxxxx | xxxxxxx | xxxxxxxxxx | xxxxxxx | Xxxxx | Xxxxxxxx | Xxxxxxx | xxxxxxxx | xxxxxxxxxx | Xxxxx | xxxxx | xxxxx | Xxxxxx | Xxxxxxxx | xxxxx | xxxxxxxx | xxxxxx | Xxxxxxxxxx | Xxxxx | Xxxxx | xxxxxxxxx | xxxxxx | Xxxxxxx | Xxxxx | Xxxxxx | Xxxxxxxxxx | Xxxxx | Xxxxxx | xxxxxx | Xxxxxxxxx | xxxxxx | xxxxxxxx | xxxxxxx | xxxxxxxxx | Xxxxxxxxxx | Xxxxxxxx |
7 | xxxxxx | Xxxxxxxxx | xxxxxxxxxx | xxxxxx | Xxxxxxxx | xxxxxxxxx | xxxxxxx | Xxxxxxxxx | xxxxxxxxx | xxxxxxxxxx | xxxxxxxx | xxxxxxx | Xxxxx | Xxxxxx | xxxxx | Xxxxxxxx | Xxxxxx | xxxxxxxx | xxxxxxxx | Xxxxxxxxx | xxxxxxxxx | Xxxxxxxx | xxxxxx | Xxxxxx | Xxxxxx | xxxxxx | Xxxxxxx | xxxxxxxx | xxxxx | xxxxxxxxx | xxxxxxxxxx | Xxxxxxxx | xxxxxxxxxx | xxxxxxxxx | xxxxxxx | Xxxxxx | xxxxx | Xxxxx | Xxxxxx | Xxxxxxxxxx | xxxxxx | Xxxxxxxxx | Xxxxxxxx | Xxxxx | Xxxxxxx | Xxxxxx | Xxxxx | xxxxx | xxxxxx | xxxxxxxx | xxxxxxxxx | xxxxxxxx | Xxxxxxxx | xxxxxx | xxxxx | xxxxxx | xxxxx | Xxxxxxxxxx | Xxxxx | Xxxxxxxxx | Xxxxx | xxxxxxx | xxxxxx | xxxxx | xxxxxx | Xxxxxxxx | xxxxxxx | Xxxxxxxxxx | xxxxxxx | Xxxxxxxx | xxxxxxxxx | xxxxxxxxx | xxxxxxxxxx | xxxxxxxx | Xxxxxx | xxxxxx | Xxxxxx | Xxxxxxxx | xxxxx | Xxxxxxxxx | Xxxxxxx | Xxxxxxxxxx | xxxxx | Xxxxxxxxx | xxxxxxxx | Xxxxxxxx | xxxxxxxxxx | xxxxxxxx | Xxxxxxxxx | xxxxxxx | xxxxx | Xxxxxxxxxx | Xxxxx | xxxxxxx | Xxxxxxxx | Xxxxxx | xxxxxxxxxx | Xxxxx | xxxxxx | Xxxxxxxxx | Xxxxxxxx | xxxxxxxxxx | Xxxxxxxxx | Xxxxxxxxx | xxxxxxxxx | Xxxxx | xxxxxxxxxx | Xxxxxx | Xxxxxxxxx | Xxxxxxxxx | Xxxxx | xxxxx | xxxxxxxxx | xxxxxx | xxxxxxxxxx | xxxxx | Xxxxxxx | Xxxxxxxx | xxxxxx | Xxxxxxx | Xxxxxxxx | Xxxxxxxxxx | Xxxxxx | xxxxxxxxx | xxxxxxxxxx | Xxxxxx | xxxxxxxxxx | xxxxx | xxxxxxx | Xxxxxx | Xxxxxxxxxx | xxxxxxxxxx | xxxxxx | Xxxxx | Xxxxxxxxxx | xxxxx | xxxxxxxx | Xxxxxxx | xxxxx | xxxxxxxxxx | Xxxxxx | xxxxx | Xxxxx | xxxxxx | Xxxxxxx | Xxxxx | xxxxxxxx | xxxxxxxx | xxxxxx | Xxxxxxxx | xxxxxx | xxxxxx | xxxxxxxx | Xxxxx | xxxxx | Xxxxxxx | xxxxx | xxxxxxxxx | xxxxx | xxxxxxxxxx | xxxxxxxx | xxxxxx | xxxxx | Xxxxx | Xxxxxxxxxx | Xxxxxx | xxxxxxxxx | Xxxxxxxxx | Xxxxxx | xxxxxxxxxx | Xxxxxxxxx | Xxxxxxxx | xxxxxxxxxx | Xxxxx | xxxxxxx | xxxxxxxx | xxxxxx | Xxxxxxxxxx | xxxxxxx | Xxxxx | xxxxxxxxxx | Xxxxxxxx | xxxxxxxxxx | Xxxxxxxxxx | xxxxxxxxxx | xxxxxx | Xxxxxxxxx | Xxxxxxxxx | Xxxxxxxx | Xxxxxxxxxx | Xxxxxxxx | xxxxxxx | xxxxxxxxxx | xxxxxx | xxxxxx | xxxxxx | Xxxxxxxxxx | xxxxxxxxxx | Xxxxx | xxxxxxxxxx | Xxxxxxxxxx | Xxxxxx | Xxxxxxxxx | Xxxxx | xxxxx | Xxxxx | Xxxxxxxx | xxxxx | Xxxxxxxx | Xxxxxx | xxxxxxx | Xxxxxxx | xxxxxxxx | xxxxxxxxx | xxxxx | xxxxxx | xxxxxxx | Xxxxxxxxx | Xxxxxxx | Xxxxxxxxx | xxxxxxxx | xxxxxxxx | xxxxxxxxxx | Xxxxx | xxxxxxxx | xxxxxxxx | xxxxxxxxxx | Xxxxxxxxx |
8 | Xxxxxxx | xxxxxxx | Xxxxxxxxx | xxxxxxxxxx | xxxxxxxx | xxxxx | Xxxxxx | Xxxxxxxx | Xxxxxxx | xxxxxxxx | Xxxxxxx | Xxxxxxxx | Xxxxxx | Xxxxxxx | Xxxxxxx | Xxxxxxxx | xxxxxxxxx | Xxxxxxx | Xxxxxx | xxxxxxxxx | xxxxxx | Xxxxx | xxxxxxx | Xxxxxxxxxx | xxxxxxxxxx | xxxxxxxx | Xxxxxxxxxx | Xxxxxxxxxx | Xxxxxx | xxxxxx | xxxxxxxxx | xxxxxxxx | Xxxxxx | xxxxxx | xxxxxxx | Xxxxxxxxxx | Xxxxxxxx | xxxxxx | Xxxxxxx | xxxxxxxx | xxxxx | xxxxxxxxxx | Xxxxx | xxxxx | xxxxxxxxxx | xxxxxxx | xxxxx | Xxxxxxx | Xxxxxxxx | xxxxxxx | xxxxxxxxxx | xxxxxxxxxx | xxxxxxx | Xxxxxxxxxx | xxxxxxxxxx | Xxxxxxxxx | Xxxxxxxx | Xxxxxx | xxxxxx | xxxxx | Xxxxxxx | xxxxxx | xxxxx | Xxxxxxx | xxxxxxx | Xxxxxxx | Xxxxxxxxxx | xxxxx | xxxxxxxxxx | Xxxxx | xxxxx | Xxxxx | Xxxxxxxxx | xxxxxxxxx | xxxxxxxx | Xxxxx | xxxxx | xxxxxxxxx | xxxxx | xxxxxxxxxx | xxxxxxxx | xxxxxx | Xxxxx | Xxxxxxxx | Xxxxx | Xxxxx | xxxxxxx | Xxxxxxxx | xxxxx | Xxxxxxxxxx | xxxxxxxx | xxxxxx | Xxxxxxxx | xxxxxxx | xxxxxx | Xxxxxxx | Xxxxxxxxx | xxxxx | xxxxxxx | xxxxxxxxx | Xxxxxxxxxx | Xxxxxx | Xxxxxxxx | Xxxxxxxxx | xxxxxxxx | xxxxxxx | Xxxxxxxx | Xxxxxxx | xxxxxxxxxx | Xxxxxxxx | xxxxxxx | xxxxxxxxxx | Xxxxxx | xxxxx | xxxxxxxx | Xxxxxxxx | Xxxxxxxx | Xxxxxxxx | Xxxxxx | Xxxxxxxxxx | Xxxxxx | Xxxxxxxxx | xxxxxxxxxx | xxxxxxxx | Xxxxxxxxx | Xxxxxxxxx | Xxxxx | xxxxxx | xxxxxxxxxx | xxxxxxx | Xxxxx | Xxxxx | Xxxxxxxxx | xxxxxxxx | xxxxxxx | xxxxxxxxx | xxxxx | xxxxxxxx | xxxxxx | Xxxxxxx | xxxxxxxx | xxxxx | xxxxxxxxxx | xxxxxxxxx | Xxxxxxxxx | Xxxxx | xxxxxxx | xxxxxxxx | Xxxxxxxx | xxxxxxxxxx | Xxxxxxx | xxxxxxxxxx | xxxxxxxxxx | Xxxxxxxxx | xxxxxxxx | xxxxxxxx | xxxxx | xxxxxx | xxxxxxxx | Xxxxx | xxxxxxxxxx | Xxxxxxxxx | Xxxxxxxx | Xxxxxxxx | Xxxxx | xxxxxx | xxxxx | Xxxxxxx | xxxxxx | xxxxxxx | Xxxxxxxx | Xxxxxx | xxxxxx | xxxxxx | xxxxxxxxxx | xxxxxx | xxxxx | Xxxxxxx | Xxxxxxxxx | xxxxx | xxxxxxx | xxxxxxx | xxxxxxxxxx | Xxxxx | xxxxx | Xxxxxx | xxxxxxxx | xxxxxx | Xxxxxxx | xxxxxxxx | Xxxxxxxxx | xxxxxxxxx | xxxxxx | Xxxxxxxxxx | Xxxxx | Xxxxxx | Xxxxxx | Xxxxxxx | Xxxxxxx | Xxxxxxxx | xxxxxxx | Xxxxxxx | xxxxxx | Xxxxxxxxx | Xxxxxxx | Xxxxxxx | Xxxxx | Xxxxxxxxx | Xxxxxxxxxx | xxxxxxxx | xxxxxxxx | xxxxxxxx | Xxxxxxxxxx | Xxxxxx | xxxxx | Xxxxxxxx | xxxxxxxxxx | Xxxxxxxxx | Xxxxxxxx | xxxxxxxxxx | Xxxxxxxx | xxxxxxxx | Xxxxxxxx | xxxxxx | xxxxxxxxx | xxxxx | xxxxxxxxx | xxxxxxx |
9 | xxxxx | xxxxx | xxxxxxxx | Xxxxxxxxx | xxxxxxx | xxxxxxx | Xxxxxxxxx | xxxxxxxx | Xxxxx | Xxxxxxx | Xxxxxxx | Xxxxxxx | Xxxxxxxxxx | xxxxxx | Xxxxxx | xxxxxx | Xxxxxxxxx | Xxxxxxxxx | xxxxxxx | Xxxxxx | xxxxxxxx | Xxxxxxxxxx | xxxxxxx | xxxxxxx | Xxxxxxxxx | Xxxxxxx | xxxxxxxxxx | Xxxxxxxxx | xxxxx | Xxxxx | Xxxxxxx | xxxxxx | xxxxxx | xxxxxx | xxxxxxx | xxxxxxxx | Xxxxxxx | xxxxx | xxxxxxx | Xxxxxxxxxx | xxxxxxxxxx | Xxxxxxxx | xxxxxxxxx | xxxxxxxx | xxxxxxxxxx | Xxxxx | xxxxxxx | Xxxxxxxxxx | Xxxxxxxx | Xxxxxxx | Xxxxxxxxxx | xxxxxxxxxx | Xxxxxxxxx | Xxxxxxxxxx | Xxxxxx | Xxxxxxxxx | Xxxxxxxx | Xxxxxxx | Xxxxxxxx | xxxxxxxxxx | xxxxxx | Xxxxxxx | xxxxx | xxxxx | xxxxxx | xxxxxxx | xxxxxxxxxx | Xxxxxxx | xxxxxxxx | Xxxxxxxxxx | Xxxxxxxxxx | xxxxxx | Xxxxxxxxx | Xxxxxx | xxxxx | Xxxxxxxxxx | Xxxxxxxxxx | Xxxxxxxx | xxxxxxx | Xxxxxxxxxx | Xxxxxxxx | Xxxxxxxx | xxxxxxxxxx | xxxxxx | xxxxxxxxx | Xxxxxxx | Xxxxxxxxx | Xxxxx | Xxxxxxx | Xxxxxxxxxx | xxxxxxx | Xxxxx | xxxxxxxxxx | xxxxxx | xxxxx | xxxxx | xxxxxx | Xxxxxxxx | xxxxxx | Xxxxxxxxx | Xxxxxx | xxxxxxxxxx | Xxxxxxxx | Xxxxxxxxxx | xxxxxxxx | xxxxxxx | Xxxxxxxxx | Xxxxxxxx | xxxxxxx | xxxxxx | xxxxxxxxxx | Xxxxxxxxx | Xxxxxxxx | xxxxx | Xxxxx | Xxxxxxx | Xxxxxxxxx | xxxxxx | Xxxxxxxxxx | xxxxxxxxxx | xxxxxxxx | xxxxxxxxx | Xxxxxx | Xxxxxxxxx | Xxxxxxxxx | Xxxxxxxx | xxxxxxxxxx | Xxxxxxxxx | Xxxxxxx | xxxxx | Xxxxxxxx | Xxxxxx | Xxxxx | xxxxxxxxxx | xxxxxxxxx | Xxxxxx | xxxxx | xxxxx | Xxxxxx | Xxxxxxxxx | Xxxxxx | xxxxxxxx | Xxxxx | Xxxxx | Xxxxxxxxxx | Xxxxxxxxxx | xxxxxx | xxxxxxx | Xxxxxxxx | xxxxxxxxx | Xxxxxxx | Xxxxxxxxxx | xxxxxxxxx | Xxxxxxxxx | Xxxxxxxxxx | Xxxxxxxxxx | xxxxx | xxxxxxx | xxxxxxxx | xxxxx | xxxxxxxxx | xxxxxxxxxx | Xxxxxxx | Xxxxx | Xxxxxxxxxx | Xxxxxxxxx | xxxxxxx | Xxxxxxx | xxxxxxxxxx | Xxxxxxx | Xxxxxxxxx | xxxxxxxx | Xxxxxx | xxxxxx | Xxxxx | xxxxxxxxxx | Xxxxxxxxxx | xxxxx | Xxxxxxxx | Xxxxxxxx | Xxxxxxxx | Xxxxxxx | Xxxxxxxxxx | Xxxxxx | Xxxxxxxxx | xxxxxxx | xxxxxxx | Xxxxxxxx | xxxxxxx | Xxxxxx | Xxxxxx | xxxxxx | Xxxxx | xxxxxxx | xxxxxx | Xxxxxxxxxx | xxxxx | xxxxxx | Xxxxxx | Xxxxxxxx | xxxxxxx | xxxxxx | Xxxxxxxxxx | Xxxxxxxxx | Xxxxxx | xxxxx | Xxxxxx | Xxxxxxxxx | xxxxxxxxxx | Xxxxxxxxxx | Xxxxxxxxxx | Xxxxxxxx | xxxxxx | Xxxxx | xxxxx | xxxxx | Xxxxxxxxxx | Xxxxxxxxxx | Xxxxxxx | Xxxxxx | Xxxxxxxxxx | xxxxxxxx | Xxxxxx | Xxxxxxx | Xxxxxxxx | xxxxxxx | Xxxxxxxx | xxxxxxxxx |
10 | xxxxxxxxxx | Xxxxx | Xxxxxxxxx | Xxxxxx | xxxxxxxx | Xxxxxxxxx | Xxxxx | xxxxxxx | Xxxxxxx | xxxxx | Xxxxxxxx | Xxxxxxx | xxxxxxxx | xxxxxxxxx | Xxxxxxx | xxxxxxxxxx | xxxxxxxxxx | Xxxxxxxxxx | Xxxxxxxxx | Xxxxxxxx | xxxxxxx | xxxxxxxxxx | Xxxxxxxxx | Xxxxxx | xxxxxxx | Xxxxxxxx | xxxxxxxx | Xxxxxxx | xxxxxx | Xxxxxxx | Xxxxx | Xxxxx | xxxxxxxx | xxxxxxxxx | Xxxxxxx | Xxxxx | Xxxxxxxx | xxxxxxxx | xxxxxxxx | Xxxxxxxxx | Xxxxxx | Xxxxxxxxx | Xxxxxxx | xxxxxxxx | Xxxxxxxx | xxxxxx | Xxxxx | Xxxxx | Xxxxxxxxxx | xxxxxxx | xxxxxxx | xxxxxxxx | xxxxxxx | xxxxxxx | Xxxxxx | Xxxxxxxx | Xxxxxxxxxx | Xxxxxxxx | Xxxxxxxxx | Xxxxx | xxxxxxx | Xxxxxxxx | xxxxxxxx | xxxxxx | xxxxxxxx | xxxxxxx | Xxxxxxxx | Xxxxxxx | Xxxxxxx | Xxxxxx | xxxxxxx | Xxxxxx | Xxxxxxxx | Xxxxxxxx | Xxxxx | xxxxx | xxxxxxxxx | Xxxxxxx | Xxxxxxxxx | Xxxxxxxxxx | xxxxx | Xxxxxxxxx | xxxxxxx | xxxxxx | Xxxxxx | Xxxxxx | Xxxxxxxxxx | xxxxxxxx | xxxxxxxx | Xxxxxxx | xxxxxx | Xxxxx | xxxxxxxxxx | Xxxxxxxxxx | Xxxxx | Xxxxxxx | Xxxxxx | xxxxxxxxxx | Xxxxxx | Xxxxxxx | xxxxxxx | Xxxxx | xxxxxxxxxx | xxxxxxxx | Xxxxxxxxx | xxxxxxxxx | xxxxxxxxx | Xxxxxxxxxx | xxxxx | xxxxxxx | Xxxxxxxxxx | xxxxxxxx | Xxxxxx | Xxxxxxx | Xxxxxxxxx | xxxxxxxxx | xxxxxxx | Xxxxx | Xxxxxxx | xxxxxxxx | Xxxxxxx | xxxxxxxxxx | Xxxxxxxx | xxxxxxxxx | Xxxxxxxxxx | Xxxxxxxxxx | xxxxxxxxxx | Xxxxx | xxxxxxx | xxxxxxxxxx | xxxxxxxxxx | xxxxxxxxx | Xxxxxxxx | xxxxxxxx | xxxxxx | Xxxxx | xxxxxx | Xxxxxxxxx | Xxxxxxxxx | xxxxxxxxxx | xxxxxxx | xxxxxxxxx | xxxxxxx | xxxxx | Xxxxxxxx | xxxxxxxxx | Xxxxxx | Xxxxx | Xxxxxxxxxx | xxxxxxxxx | Xxxxx | Xxxxxxxxxx | xxxxxxxxxx | xxxxxxxxx | Xxxxxx | xxxxx | xxxxxxxxxx | xxxxxxxxxx | xxxxxxxxxx | Xxxxxxxx | Xxxxxx | xxxxxxxxxx | xxxxxx | Xxxxxxxxxx | xxxxx | Xxxxxxxxxx | Xxxxxxxxxx | Xxxxxx | xxxxxxxxxx | Xxxxxxxx | Xxxxxxxxxx | Xxxxxxxx | Xxxxx | xxxxxxxx | Xxxxxx | xxxxxxx | Xxxxxxx | xxxxxx | xxxxxxx | xxxxxxxxxx | xxxxxx | Xxxxxxxxx | xxxxxx | xxxxx | Xxxxxxx | xxxxxx | xxxxx | Xxxxx | xxxxxxxxxx | xxxxxx | xxxxxxxxxx | xxxxxxxxxx | xxxxxxxxx | xxxxxxx | xxxxx | xxxxxx | xxxxxxx | xxxxxxxx | xxxxxxxx | Xxxxxxxxx | Xxxxxxxxxx | xxxxxxxxx | Xxxxxxxxxx | xxxxxx | Xxxxxxxxx | Xxxxxxx | Xxxxxxxx | Xxxxxx | Xxxxxxxxx | Xxxxxxx | xxxxxxx | Xxxxxxxxx | xxxxxxx | xxxxxx | xxxxx | xxxxxxxxxx | Xxxxxxxxxx | Xxxxxxxx | xxxxxx | Xxxxxxxxx | Xxxxxx | Xxxxxx | xxxxxxx | xxxxxxxxxx | xxxxxxxxx | xxxxxxxx | Xxxxxxxx | Xxxxxxxxx |
... | xxxxxxx | Xxxxxxxxxx | Xxxxxxxxx | xxxxxxxxxx | xxxxxxxxx | Xxxxxxxx | Xxxxxxxx | Xxxxxxxx | Xxxxx | xxxxxxx | Xxxxxxxxx | Xxxxxxxxx | Xxxxxxxxxx | Xxxxxxx | Xxxxxxx | xxxxxxxxxx | Xxxxxxxxxx | xxxxx | xxxxxxx | xxxxxxxx | Xxxxxxxx | xxxxxxxxx | xxxxxxxxx | xxxxxxxx | xxxxx | xxxxxxx | Xxxxxxxxx | xxxxx | Xxxxxxx | xxxxxxxxx | xxxxxxxxxx | Xxxxxxxxxx | Xxxxx | xxxxxxxxxx | xxxxxxxx | Xxxxxxxxx | Xxxxxx | xxxxx | Xxxxxxxx | xxxxx | xxxxxxxxxx | Xxxxxxxxxx | Xxxxxxxxxx | xxxxxxxxx | xxxxxxxxx | xxxxxxxxx | xxxxxxxxxx | xxxxxxxxxx | xxxxxxx | Xxxxxxxxx | xxxxxxxxxx | xxxxxxxxxx | Xxxxxxx | xxxxxxxx | Xxxxxxxx | xxxxxxx | xxxxx | xxxxxxxxxx | xxxxxxx | Xxxxxx | xxxxx | Xxxxxx | xxxxx | Xxxxxxxxxx | xxxxxx | xxxxx | xxxxxxxx | xxxxxxxxxx | xxxxx | xxxxx | Xxxxxxxxxx | xxxxxxxxx | Xxxxxxxx | Xxxxxx | xxxxxx | Xxxxxx | xxxxxxxxx | Xxxxxx | xxxxxxxx | Xxxxxxxxxx | xxxxxx | xxxxxx | xxxxxxxxx | xxxxxxxx | xxxxxxx | xxxxxxxxxx | Xxxxxx | xxxxx | xxxxxx | xxxxxxxxxx | Xxxxxxxxxx | Xxxxxx | xxxxxxxxxx | Xxxxxx | Xxxxxxxxxx | Xxxxx | Xxxxxxx | Xxxxx | Xxxxxxxx | Xxxxxxx | xxxxxx | Xxxxxxx | xxxxx | Xxxxxxxxx | Xxxxxxxxxx | xxxxxxxxx | xxxxxxxxx | xxxxxx | Xxxxxxx | xxxxxxxxx | xxxxxx | xxxxxxx | Xxxxxxxxxx | xxxxx | xxxxxx | xxxxxxxxxx | Xxxxxxx | Xxxxx | xxxxxxx | xxxxxxx | xxxxxxxxx | Xxxxxxxx | Xxxxxxxx | xxxxxxx | xxxxxx | Xxxxxxxx | Xxxxxxxx | xxxxxxxxxx | Xxxxxx | xxxxxxx | xxxxxxxxxx | xxxxxxxxx | Xxxxxxx | Xxxxxxxx | xxxxxxxxxx | xxxxxxx | xxxxxxx | xxxxxxxxx | xxxxxxxxxx | xxxxxxxx | Xxxxxxxx | xxxxxx | Xxxxx | xxxxxxxxxx | Xxxxx | Xxxxxxxx | Xxxxxx | Xxxxx | xxxxxxx | Xxxxxx | Xxxxxxxx | xxxxxx | Xxxxxxxx | xxxxxxxxxx | xxxxxx | xxxxxxx | xxxxxx | Xxxxx | xxxxxxx | xxxxxx | Xxxxxxxx | xxxxxx | xxxxxxx | xxxxxxx | xxxxxx | xxxxxx | xxxxxx | xxxxx | Xxxxxxxx | Xxxxxxxxxx | Xxxxxxxxx | xxxxx | Xxxxxxxxx | Xxxxxx | Xxxxxxxx | xxxxx | Xxxxxxx | Xxxxx | xxxxxx | xxxxxxxx | xxxxxxx | xxxxx | xxxxxxxxxx | xxxxx | Xxxxxxx | xxxxxxxxxx | xxxxx | xxxxxxx | Xxxxx | xxxxxxx | xxxxxx | xxxxxxx | xxxxx | Xxxxx | xxxxxxx | xxxxxxxxxx | Xxxxxxx | Xxxxxxx | xxxxxxxx | Xxxxxx | Xxxxxxxx | Xxxxxx | xxxxxxxx | Xxxxxx | Xxxxxxx | xxxxxxxxxx | xxxxxxxxxx | xxxxxxxx | xxxxx | Xxxxxxxxxx | Xxxxxxxxxx | Xxxxxx | Xxxxxxxxxx | Xxxxxxxx | xxxxxx | Xxxxxxxxx | xxxxxx | xxxxxxxxxx | xxxxx | Xxxxxx | Xxxxx | Xxxxxx | xxxxxxxxx | Xxxxxxxx | xxxxxxxx | xxxxxxx | Xxxxxx | Xxxxxxxxx |
Data Dictionary
Attribute | Type | Example | Mapping |
---|---|---|---|
Integer | 1003445892 | POI ID | |
String | German post office | POI Name | |
String | Address | ||
String | Address | ||
Integer | 31311 | Postal Code | |
String | Uetze | City Name | |
Float | 52.4830319999999 | Latitude | |
Float | 10.0938781 | Longitude | |
String | Post office | POI Sub-category | |
String | Post office | POI Category | |
String | Post office, Mailing service, Shipping and mailing servic... | POI Category | |
rating_score
|
Float | 3.5 | |
review_count
|
Integer | 26 | |
String | https://www.deutschepost.de/de/s/standorte.html?objectid=... | Website | |
last_review_date
|
String | 01/02/2022 | |
days_from_last_review
|
Integer | 295 | |
existence_confidence_level
|
Float | 0.4450000000000001 | |
chain_name
|
String | post | |
Float | 8.5 | POI Opening Hours | |
Float | 12.5 | POI Opening Hours | |
Float | 14.5 | POI Opening Hours | |
Float | 18.0 | POI Opening Hours | |
Float | 8.5 | POI Opening Hours | |
Float | 12.5 | POI Opening Hours | |
Float | 14.5 | POI Opening Hours | |
Float | 18.0 | POI Opening Hours | |
Float | 8.5 | POI Opening Hours | |
Float | 12.5 | POI Opening Hours | |
Float | 14.5 | POI Opening Hours | |
Float | 18.0 | POI Opening Hours | |
Float | 8.5 | POI Opening Hours | |
Float | 12.5 | POI Opening Hours | |
Float | 14.5 | POI Opening Hours | |
Float | 18.0 | POI Opening Hours | |
Float | 8.5 | POI Opening Hours | |
Float | 12.5 | POI Opening Hours | |
Float | 14.5 | POI Opening Hours | |
Float | 18.0 | POI Opening Hours | |
Float | 8.5 | POI Opening Hours | |
Float | POI Opening Hours | ||
Float | POI Opening Hours | ||
Float | 12.5 | POI Opening Hours | |
Float | POI Opening Hours | ||
Float | POI Opening Hours | ||
Float | POI Opening Hours | ||
Float | POI Opening Hours | ||
number of bus stops in 5 min walk
|
Integer | 3 | |
number of bus stops in 50 m radius
|
Integer | 0 | |
number of bus stops in 100 m radius
|
Integer | 0 | |
number of bus stops in 200 m radius
|
Integer | 0 | |
distance to the nearest bus stop (in 500 m radius)
|
Integer | 219 | |
number of train stations in 5 min walk
|
Integer | 0 | |
number of train stations in 50 m radius
|
Integer | 0 | |
number of train stations in 100 m radius
|
Integer | 0 | |
number of train stations in 200 m radius
|
Integer | 0 | |
number of train stations in 300 m radius
|
Integer | 0 | |
number of train stations in 500 m radius
|
Integer | 0 | |
distance to the nearest train station (in 500 m radius)
|
Integer | 1000 | |
number of metro stations in 5 min walk
|
Integer | 0 | |
number of metro stations in 50 m radius
|
Integer | 0 | |
number of metro stations in 100 m radius
|
Integer | 0 | |
number of metro stations in 200 m radius
|
Integer | 0 | |
number of metro stations in 300 m radius
|
Integer | 0 | |
number of metro stations in 500 m radius
|
Integer | 0 | |
distance to the nearest metro station (in 500 m radius)
|
Integer | 1000 | |
number of restaurants in 5 min walk
|
Integer | 3 | |
number of restaurants in 50 m radius
|
Integer | 0 | |
number of restaurants in 100 m radius
|
Integer | 2 | |
number of restaurants in 200 m radius
|
Integer | 2 | |
number of restaurants in 300 m radius
|
Integer | 3 | |
number of restaurants in 500 m radius
|
Integer | 3 | |
distance to the nearest restaurant (in 500 m radius)
|
Integer | 96 | |
number of cafes in 5 min walk
|
Integer | 0 | |
number of cafes in 50 m radius
|
Integer | 0 | |
number of cafes in 100 m radius
|
Integer | 0 | |
number of cafes in 200 m radius
|
Integer | 0 | |
number of cafes in 300 m radius
|
Integer | 0 | |
number of cafes in 500 m radius
|
Integer | 0 | |
distance to the nearest cafe (in 500 m radius)
|
Integer | 1000 | |
number of bars/pubs/clubs in 5 min walk
|
Integer | 1 | |
number of bars/pubs/clubs in 50 m radius
|
Integer | 0 | |
number of bars/pubs/clubs in 100 m radius
|
Integer | 1 | |
number of bars/pubs/clubs in 200 m radius
|
Integer | 1 | |
number of bars/pubs/clubs in 300 m radius
|
Integer | 1 | |
number of bars/pubs/clubs in 500 m radius
|
Integer | 1 | |
distance to the nearest bar/pub/club (in 500 m radius)
|
Integer | 85 | |
number of hotels in 5 min walk
|
Integer | 1 | |
number of hotels in 50 m radius
|
Integer | 0 | |
number of hotels in 100 m radius
|
Integer | 0 | |
number of hotels in 200 m radius
|
Integer | 0 | |
number of hotels in 300 m radius
|
Integer | 1 | |
number of hotels in 500 m radius
|
Integer | 1 | |
distance to the nearest hotel (in 500 m radius)
|
Integer | 273 | |
number of hostels in 5 min walk
|
Integer | 0 | |
number of hostels in 50 m radius
|
Integer | 0 | |
number of hostels in 100 m radius
|
Integer | 0 | |
number of hostels in 200 m radius
|
Integer | 0 | |
number of hostels in 300 m radius
|
Integer | 0 | |
number of hostels in 500 m radius
|
Integer | 0 | |
distance to the nearest hostel (in 500 m radius)
|
Integer | 1000 | |
number of malls in 5 min walk
|
Integer | 0 | |
number of malls in 50 m radius
|
Integer | 0 | |
number of malls in 100 m radius
|
Integer | 0 | |
number of malls in 200 m radius
|
Integer | 0 | |
number of malls in 300 m radius
|
Integer | 0 | |
number of malls in 500 m radius
|
Integer | 0 | |
distance to the nearest mall (in 500 m radius)
|
Integer | 1000 | |
number of business centers in 5 min walk
|
Integer | 0 | |
number of business centers in 50 m radius
|
Integer | 0 | |
number of business centers in 100 m radius
|
Integer | 0 | |
number of business centers in 200 m radius
|
Integer | 0 | |
number of business centers in 300 m radius
|
Integer | 0 | |
number of business centers in 500 m radius
|
Integer | 0 | |
distance to the nearest business center (in 500 m radius)
|
Integer | 1000 | |
number of fitness/gyms in 5 min walk
|
Integer | 0 | |
number of fitness/gyms in 50 m radius
|
Integer | 0 | |
number of fitness/gyms in 100 m radius
|
Integer | 0 | |
number of fitness/gyms in 200 m radius
|
Integer | 0 | |
number of fitness/gyms in 300 m radius
|
Integer | 0 | |
number of fitness/gyms in 500 m radius
|
Integer | 2 | |
distance to the nearest fitness/gym (in 500 m radius)
|
Integer | 411 | |
number of swimming pools in 5 min walk
|
Integer | 0 | |
number of swimming pools in 50 m radius
|
Integer | 0 | |
number of swimming pools in 100 m radius
|
Integer | 0 | |
number of swimming pools in 200 m radius
|
Integer | 0 | |
number of swimming pools in 300 m radius
|
Integer | 0 | |
number of swimming pools in 500 m radius
|
Integer | 0 | |
distance to the nearest swimming pool (in 500 m radius)
|
Integer | 1000 | |
number of stadiums in 5 min walk
|
Integer | 0 | |
number of stadiums in 50 m radius
|
Integer | 0 | |
number of stadiums in 100 m radius
|
Integer | 0 | |
number of stadiums in 200 m radius
|
Integer | 0 | |
number of stadiums in 300 m radius
|
Integer | 0 | |
number of stadiums in 500 m radius
|
Integer | 0 | |
distance to the nearest stadium (in 500 m radius)
|
Integer | 1000 | |
number of parks in 5 min walk
|
Integer | 0 | |
number of parks in 50 m radius
|
Integer | 0 | |
number of parks in 100 m radius
|
Integer | 0 | |
number of parks in 200 m radius
|
Integer | 0 | |
number of parks in 300 m radius
|
Integer | 0 | |
number of parks in 500 m radius
|
Integer | 0 | |
distance to the nearest park (in 500 m radius)
|
Integer | 1000 | |
number of beachs in 5 min walk
|
Integer | 0 | |
number of beachs in 50 m radius
|
Integer | 0 | |
number of beachs in 100 m radius
|
Integer | 0 | |
number of beachs in 200 m radius
|
Integer | 0 | |
number of beachs in 300 m radius
|
Integer | 0 | |
number of beachs in 500 m radius
|
Integer | 0 | |
distance to the nearest beach (in 500 m radius)
|
Integer | 1000 | |
number of SPA in 5 min walk
|
Integer | 0 | |
number of SPA in 50 m radius
|
Integer | 0 | |
number of SPA in 100 m radius
|
Integer | 0 | |
number of SPA in 200 m radius
|
Integer | 0 | |
number of SPA in 300 m radius
|
Integer | 0 | |
number of SPA in 500 m radius
|
Integer | 0 | |
distance to the nearest SPA (in 500 m radius)
|
Integer | 1000 | |
number of wellness centers in 5 min walk
|
Integer | 0 | |
number of wellness centers in 50 m radius
|
Integer | 0 | |
number of wellness centers in 100 m radius
|
Integer | 0 | |
number of wellness centers in 200 m radius
|
Integer | 0 | |
number of wellness centers in 300 m radius
|
Integer | 0 | |
number of wellness centers in 500 m radius
|
Integer | 0 | |
distance to the nearest wellness center (in 500 m radius)
|
Integer | 1000 | |
number of cinemas in 5 min walk
|
Integer | 0 | |
number of cinemas in 50 m radius
|
Integer | 0 | |
number of cinemas in 100 m radius
|
Integer | 0 | |
number of cinemas in 200 m radius
|
Integer | 0 | |
number of cinemas in 300 m radius
|
Integer | 0 | |
number of cinemas in 500 m radius
|
Integer | 0 | |
distance to the nearest cinema (in 500 m radius)
|
Integer | 1000 | |
number of universities in 5 min walk
|
Integer | 0 | |
number of universities in 50 m radius
|
Integer | 0 | |
number of universities in 100 m radius
|
Integer | 0 | |
number of universities in 200 m radius
|
Integer | 0 | |
number of universities in 300 m radius
|
Integer | 0 | |
number of universities in 500 m radius
|
Integer | 0 | |
distance to the nearest university (in 500 m radius)
|
Integer | 1000 | |
number of schools/kindergartens in 5 min walk
|
Integer | 0 | |
number of schools/kindergartens in 50 m radius
|
Integer | 0 | |
number of schools/kindergartens in 100 m radius
|
Integer | 0 | |
number of schools/kindergartens in 200 m radius
|
Integer | 0 | |
number of schools/kindergartens in 300 m radius
|
Integer | 0 | |
number of schools/kindergartens in 500 m radius
|
Integer | 3 | |
distance to the nearest school/kindergarten (in 500 m radius)
|
Integer | 363 | |
number of households in 5 min walk
|
Float | 593.0 | |
number of households in 50 m radius
|
Float | 23.0 | |
number of households in 100 m radius
|
Float | 92.0 | |
number of households in 200 m radius
|
Float | 312.0 | |
number of households in 300 m radius
|
Integer | 698 | |
number of households in 500 m radius
|
Integer | 1631 | |
maximum total footfall intensity in 30 m radius
|
Float | 366.0 | |
maximum transport - office footfall intensity in 30 m radius
|
Float | 0.0 | |
maximum transport - educational footfall intensity in 30 m radius
|
Float | 0.0 | |
maximum transport - horeca footfall intensity in 30 m radius
|
Float | 0.0 | |
maximum transport - foodstore footfall intensity in 30 m radius
|
Float | 0.0 | |
maximum transport - sport footfall intensity in 30 m radius
|
Float | 276.0 | |
maximum residential - transport footfall intensity in 30 m radius
|
Float | 14.0 | |
maximum residential - office footfall intensity in 30 m radius
|
Float | 0.0 | |
maximum residential - educational footfall intensity in 30 m radius
|
Float | 30.0 | |
maximum residential - horeca footfall intensity in 30 m radius
|
Float | 0.0 | |
maximum residential - foodstore footfall intensity in 30 m radius
|
Float | 48.0 | |
maximum residential - sport footfall intensity in 30 m radius
|
Float | 0.0 | |
maximum total footfall intensity in 50 m radius
|
Float | 572.0 | |
maximum transport - office footfall intensity in 50 m radius
|
Float | 0.0 | |
maximum transport - educational footfall intensity in 50 m radius
|
Float | 0.0 | |
maximum transport - horeca footfall intensity in 50 m radius
|
Float | 0.0 | |
maximum transport - foodstore footfall intensity in 50 m radius
|
Float | 0.0 | |
maximum transport - sport footfall intensity in 50 m radius
|
Float | 276.0 | |
maximum residential - transport footfall intensity in 50 m radius
|
Float | 30.0 | |
maximum residential - office footfall intensity in 50 m radius
|
Float | 0.0 | |
maximum residential - educational footfall intensity in 50 m radius
|
Float | 40.0 | |
maximum residential - horeca footfall intensity in 50 m radius
|
Float | 118.0 | |
maximum residential - foodstore footfall intensity in 50 m radius
|
Float | 210.0 | |
maximum residential - sport footfall intensity in 50 m radius
|
Float | 14.0 | |
unique_users_overall
|
Integer | 811 | |
unique_days_overall
|
Integer | 334 | |
mean_of_daily_unique_users
|
Float | 5.473972602739726 | |
sum_of_daily_unique_users
|
Integer | 1998 | |
sum_of_daily_unique_users_gte2
|
Integer | 633 | |
mean_of_daily_unique_users_gte2
|
Float | 1.734246575342466 | |
sum_of_daily_unique_users_gte3
|
Integer | 415 | |
mean_of_daily_unique_users_gte3
|
Float | 1.136986301369863 | |
sum_of_users_with_2_tracks_in_1_hours
|
Integer | 581 | |
mean_of_users_with_2_tracks_in_1_hours
|
Float | 1.591780821917808 | |
sum_of_users_with_3_tracks_in_1_hours
|
Integer | 384 | |
mean_of_users_with_3_tracks_in_1_hours
|
Float | 1.052054794520548 | |
sum_of_users_with_3_tracks_in_2_hours
|
Integer | 389 | |
mean_of_users_with_3_tracks_in_2_hours
|
Float | 1.065753424657534 |
Description
Country Coverage
History
Volume
200 | Sources of data |
50 | Million POI |
150 | Categories |
Pricing
License | Starts at |
---|---|
One-off purchase | Available |
Monthly License | Available |
Yearly License | Available |
Usage-based | Available |
Suitable Company Sizes
Quality
Delivery
Use Cases
Categories
Related Searches
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Frequently asked questions
What is BestPlace: Retail and GIS Data Analytics, POI Database Solutions for CPG & FMCG, Feature Enrichment for Machine Learning?
Discover BestPlace, the tool for retail data analytics, CPG and FMCG insights, and GIS datasets. Dive into shopping behavior analysis, foot traffic statistics, and POI data collection. Access retail databases, census data sets, and GIS data sources. Elevate your retail and geographic intelligence.
What is BestPlace: Retail and GIS Data Analytics, POI Database Solutions for CPG & FMCG, Feature Enrichment for Machine Learning used for?
This product has 5 key use cases. BestPlace recommends using the data for Machine Learning (ML), Market Potential Analysis, Data-Efficient Machine Learning, Company Data Enrichment, and POI Enrichment. Global businesses and organizations buy Point of Interest (POI) Data from BestPlace to fuel their analytics and enrichment.
Who can use BestPlace: Retail and GIS Data Analytics, POI Database Solutions for CPG & FMCG, Feature Enrichment for Machine Learning?
This product is best suited if you’re a Medium-sized Business or Enterprise looking for Point of Interest (POI) Data. Get in touch with BestPlace to see what their data can do for your business and find out which integrations they provide.
How far back does the data in BestPlace: Retail and GIS Data Analytics, POI Database Solutions for CPG & FMCG, Feature Enrichment for Machine Learning go?
This product has 1 years of historical coverage. It can be delivered on a monthly, quarterly, yearly, and on-demand basis.
Which countries does BestPlace: Retail and GIS Data Analytics, POI Database Solutions for CPG & FMCG, Feature Enrichment for Machine Learning cover?
This product includes data covering 114 countries like USA, Japan, Germany, India, and United Kingdom. BestPlace is headquartered in United States of America.
How much does BestPlace: Retail and GIS Data Analytics, POI Database Solutions for CPG & FMCG, Feature Enrichment for Machine Learning cost?
Pricing information for BestPlace: Retail and GIS Data Analytics, POI Database Solutions for CPG & FMCG, Feature Enrichment for Machine Learning is available by getting in contact with BestPlace. Connect with BestPlace to get a quote and arrange custom pricing models based on your data requirements.
How can I get BestPlace: Retail and GIS Data Analytics, POI Database Solutions for CPG & FMCG, Feature Enrichment for Machine Learning?
Businesses can buy Point of Interest (POI) Data from BestPlace and get the data via S3 Bucket, Email, and UI Export. Depending on your data requirements and subscription budget, BestPlace can deliver this product in .json, .csv, .xls, and .txt format.
What is the data quality of BestPlace: Retail and GIS Data Analytics, POI Database Solutions for CPG & FMCG, Feature Enrichment for Machine Learning?
BestPlace has reported that this product has the following quality and accuracy assurances: 100% Features. You can compare and assess the data quality of BestPlace using Datarade’s data marketplace.
What are similar products to BestPlace: Retail and GIS Data Analytics, POI Database Solutions for CPG & FMCG, Feature Enrichment for Machine Learning?
This product has 3 related products. These alternatives include Grepsr Point of Interest (POI Data), Geospatial, Review, Rating, Business Opening Hours Global Coverage with Custom and On demand datasets, Factori AI & ML Training Data Point of Interest Data (POI) Global Machine Learning Data, and Global Independent & Multi-National Retail Location Data. You can compare the best Point of Interest (POI) Data providers and products via Datarade’s data marketplace and get the right data for your use case.