Changes
On November 7, 2023 at 12:30:36 AM UTC, CleverMaps Data Catalog:
-
Renamed resource Accomodation prices and occupancy to Accommodation prices and occupancy in Accommodation price and occupancy (POI) – Russia (Data Appeal)
f | 1 | { | f | 1 | { |
2 | "author": "Franti\u0161ek Pavl\u00ed\u010dek", | 2 | "author": "Franti\u0161ek Pavl\u00ed\u010dek", | ||
3 | "author_email": "frantisek.pavlicek@clevermaps.io", | 3 | "author_email": "frantisek.pavlicek@clevermaps.io", | ||
4 | "availability": "Upon request", | 4 | "availability": "Upon request", | ||
5 | "category": "Points of Interest", | 5 | "category": "Points of Interest", | ||
6 | "coverage": "Russia", | 6 | "coverage": "Russia", | ||
7 | "creator_user_id": "e2185bb8-8a2a-457e-a273-2e757a7866d8", | 7 | "creator_user_id": "e2185bb8-8a2a-457e-a273-2e757a7866d8", | ||
8 | "crs": "4326 (WGS84)", | 8 | "crs": "4326 (WGS84)", | ||
9 | "data_source": "https://www.datappeal.io/", | 9 | "data_source": "https://www.datappeal.io/", | ||
10 | "dataset_dimension": "Dataset", | 10 | "dataset_dimension": "Dataset", | ||
11 | "date_validity": "2023-07-01", | 11 | "date_validity": "2023-07-01", | ||
12 | "dimension": "Undimensioned", | 12 | "dimension": "Undimensioned", | ||
13 | "for_sale": "For sale", | 13 | "for_sale": "For sale", | ||
14 | "geometry": "Point", | 14 | "geometry": "Point", | ||
15 | "groups": [], | 15 | "groups": [], | ||
16 | "id": "eaf5a2a4-83f8-4d51-9db2-0c6f5fda6916", | 16 | "id": "eaf5a2a4-83f8-4d51-9db2-0c6f5fda6916", | ||
17 | "isopen": true, | 17 | "isopen": true, | ||
18 | "license_id": "cc-zero", | 18 | "license_id": "cc-zero", | ||
19 | "license_title": "Creative Commons CCZero", | 19 | "license_title": "Creative Commons CCZero", | ||
20 | "license_url": "http://www.opendefinition.org/licenses/cc-zero", | 20 | "license_url": "http://www.opendefinition.org/licenses/cc-zero", | ||
21 | "lowest_granularity": "Not relevant", | 21 | "lowest_granularity": "Not relevant", | ||
22 | "maintainer": null, | 22 | "maintainer": null, | ||
23 | "maintainer_email": null, | 23 | "maintainer_email": null, | ||
24 | "metadata_created": "2023-08-29T00:23:21.470703", | 24 | "metadata_created": "2023-08-29T00:23:21.470703", | ||
n | 25 | "metadata_modified": "2023-08-30T00:23:05.504684", | n | 25 | "metadata_modified": "2023-11-07T00:30:36.705466", |
26 | "name": | 26 | "name": | ||
27 | ata-appeal-acommodation_price_and_occupancy_poi_-_russia_data_appeal", | 27 | ata-appeal-acommodation_price_and_occupancy_poi_-_russia_data_appeal", | ||
28 | "notes": "This dataset contains the accommodation prices and | 28 | "notes": "This dataset contains the accommodation prices and | ||
29 | occupancy of the points of interest in Russia. The provider of the | 29 | occupancy of the points of interest in Russia. The provider of the | ||
30 | data is Data Appeal. Accommodation prices and occupancy can be bought | 30 | data is Data Appeal. Accommodation prices and occupancy can be bought | ||
31 | as additional data to a points of interest package, which contains the | 31 | as additional data to a points of interest package, which contains the | ||
32 | basic information such as name, address, contacts or the current | 32 | basic information such as name, address, contacts or the current | ||
33 | status of the amenity. Additional datasets such as Popularity trends, | 33 | status of the amenity. Additional datasets such as Popularity trends, | ||
34 | Sentiment trends or Opening hours are also offered.", | 34 | Sentiment trends or Opening hours are also offered.", | ||
35 | "num_resources": 1, | 35 | "num_resources": 1, | ||
36 | "num_tags": 7, | 36 | "num_tags": 7, | ||
37 | "organization": { | 37 | "organization": { | ||
38 | "approval_status": "approved", | 38 | "approval_status": "approved", | ||
39 | "created": "2023-01-29T16:55:24.667767", | 39 | "created": "2023-01-29T16:55:24.667767", | ||
40 | "description": "Data Appeal\u2019s combination of geospatial data, | 40 | "description": "Data Appeal\u2019s combination of geospatial data, | ||
41 | sentiment intelligence and market trends enhances the growth of | 41 | sentiment intelligence and market trends enhances the growth of | ||
42 | organizations around the world. Data Appeal\u2019s AI-enabled | 42 | organizations around the world. Data Appeal\u2019s AI-enabled | ||
43 | solutions and key performance indicators help businesses across all | 43 | solutions and key performance indicators help businesses across all | ||
44 | sectors to monitor, analyze and profile the customer and traveler | 44 | sectors to monitor, analyze and profile the customer and traveler | ||
45 | experience of any territory and also to identify locations with the | 45 | experience of any territory and also to identify locations with the | ||
46 | highest investment potential around the world.", | 46 | highest investment potential around the world.", | ||
47 | "id": "2d07337b-8007-4530-a723-aac6a655d12d", | 47 | "id": "2d07337b-8007-4530-a723-aac6a655d12d", | ||
48 | "image_url": | 48 | "image_url": | ||
49 | ww.datappeal.io/wp-content/uploads/2019/10/Logo-DataAppeal-RGB-2.png", | 49 | ww.datappeal.io/wp-content/uploads/2019/10/Logo-DataAppeal-RGB-2.png", | ||
50 | "is_organization": true, | 50 | "is_organization": true, | ||
51 | "name": "data-appeal", | 51 | "name": "data-appeal", | ||
52 | "state": "active", | 52 | "state": "active", | ||
53 | "title": "Data Appeal", | 53 | "title": "Data Appeal", | ||
54 | "type": "organization" | 54 | "type": "organization" | ||
55 | }, | 55 | }, | ||
56 | "owner_org": "2d07337b-8007-4530-a723-aac6a655d12d", | 56 | "owner_org": "2d07337b-8007-4530-a723-aac6a655d12d", | ||
n | 57 | "price_dataset_one_time": "0", | n | ||
58 | "price_notes": "The price may vary based on the current POI count. | 57 | "price_notes": "The price may vary based on the current POI count. | ||
59 | Please see: | 58 | Please see: | ||
60 | ment/d/1zhv1j0WkJ97u5AjmF8HJ_1JM5bcG1SSEP5Lid2jj64g/edit?usp=sharing", | 59 | ment/d/1zhv1j0WkJ97u5AjmF8HJ_1JM5bcG1SSEP5Lid2jj64g/edit?usp=sharing", | ||
61 | "private": false, | 60 | "private": false, | ||
62 | "relationships_as_object": [], | 61 | "relationships_as_object": [], | ||
63 | "relationships_as_subject": [], | 62 | "relationships_as_subject": [], | ||
64 | "resources": [ | 63 | "resources": [ | ||
65 | { | 64 | { | ||
66 | "cache_last_updated": null, | 65 | "cache_last_updated": null, | ||
67 | "cache_url": null, | 66 | "cache_url": null, | ||
68 | "ckan_url": "https://datacatalog.ps.cleveranalytics.com", | 67 | "ckan_url": "https://datacatalog.ps.cleveranalytics.com", | ||
69 | "created": "2023-08-28T19:22:48.905892", | 68 | "created": "2023-08-28T19:22:48.905892", | ||
70 | "datastore_active": true, | 69 | "datastore_active": true, | ||
71 | "datastore_contains_all_records_of_source_file": true, | 70 | "datastore_contains_all_records_of_source_file": true, | ||
72 | "description": "Data sample", | 71 | "description": "Data sample", | ||
73 | "format": "CSV", | 72 | "format": "CSV", | ||
74 | "hash": "2edf64e4c907d70e2f5d2e48803ef88f", | 73 | "hash": "2edf64e4c907d70e2f5d2e48803ef88f", | ||
75 | "id": "45fda5e2-83be-43fc-a3d8-3c65bc0cb4ee", | 74 | "id": "45fda5e2-83be-43fc-a3d8-3c65bc0cb4ee", | ||
76 | "ignore_hash": true, | 75 | "ignore_hash": true, | ||
77 | "last_modified": null, | 76 | "last_modified": null, | ||
78 | "map": | 77 | "map": | ||
79 | buml/map/dots_view?token=he2w0Y3gnLF1hFKufYiw1xqUv7ZKNvidPFaMOwyr2e0", | 78 | buml/map/dots_view?token=he2w0Y3gnLF1hFKufYiw1xqUv7ZKNvidPFaMOwyr2e0", | ||
n | 80 | "metadata_modified": "2023-08-30T00:23:05.508199", | n | 79 | "metadata_modified": "2023-11-07T00:30:36.709274", |
81 | "mimetype": null, | 80 | "mimetype": null, | ||
82 | "mimetype_inner": null, | 81 | "mimetype_inner": null, | ||
t | 83 | "name": "Accomodation prices and occupancy", | t | 82 | "name": "Accommodation prices and occupancy", |
84 | "original_url": | 83 | "original_url": | ||
85 | /s3/data_partners/data_appeal/data_appeal_sample_occupancy_price.csv", | 84 | /s3/data_partners/data_appeal/data_appeal_sample_occupancy_price.csv", | ||
86 | "package_id": "eaf5a2a4-83f8-4d51-9db2-0c6f5fda6916", | 85 | "package_id": "eaf5a2a4-83f8-4d51-9db2-0c6f5fda6916", | ||
87 | "position": 0, | 86 | "position": 0, | ||
88 | "resource_id": "45fda5e2-83be-43fc-a3d8-3c65bc0cb4ee", | 87 | "resource_id": "45fda5e2-83be-43fc-a3d8-3c65bc0cb4ee", | ||
89 | "resource_type": null, | 88 | "resource_type": null, | ||
90 | "s3link": | 89 | "s3link": | ||
91 | log/data_partners/data_appeal/data_appeal_sample_occupancy_price.csv", | 90 | log/data_partners/data_appeal/data_appeal_sample_occupancy_price.csv", | ||
92 | "set_url_type": false, | 91 | "set_url_type": false, | ||
93 | "size": null, | 92 | "size": null, | ||
94 | "state": "active", | 93 | "state": "active", | ||
95 | "task_created": "2023-08-28 19:44:56.642864", | 94 | "task_created": "2023-08-28 19:44:56.642864", | ||
96 | "url": | 95 | "url": | ||
97 | /s3/data_partners/data_appeal/data_appeal_sample_occupancy_price.csv", | 96 | /s3/data_partners/data_appeal/data_appeal_sample_occupancy_price.csv", | ||
98 | "url_type": null | 97 | "url_type": null | ||
99 | } | 98 | } | ||
100 | ], | 99 | ], | ||
101 | "state": "active", | 100 | "state": "active", | ||
102 | "tags": [ | 101 | "tags": [ | ||
103 | { | 102 | { | ||
104 | "display_name": "Data Appeal", | 103 | "display_name": "Data Appeal", | ||
105 | "id": "113fd309-7ead-4b69-8dba-5f4e287350be", | 104 | "id": "113fd309-7ead-4b69-8dba-5f4e287350be", | ||
106 | "name": "Data Appeal", | 105 | "name": "Data Appeal", | ||
107 | "state": "active", | 106 | "state": "active", | ||
108 | "vocabulary_id": null | 107 | "vocabulary_id": null | ||
109 | }, | 108 | }, | ||
110 | { | 109 | { | ||
111 | "display_name": "POI", | 110 | "display_name": "POI", | ||
112 | "id": "11f61381-f0b6-47e5-bf8f-2961374c8c18", | 111 | "id": "11f61381-f0b6-47e5-bf8f-2961374c8c18", | ||
113 | "name": "POI", | 112 | "name": "POI", | ||
114 | "state": "active", | 113 | "state": "active", | ||
115 | "vocabulary_id": null | 114 | "vocabulary_id": null | ||
116 | }, | 115 | }, | ||
117 | { | 116 | { | ||
118 | "display_name": "Russia", | 117 | "display_name": "Russia", | ||
119 | "id": "633a8112-efb8-45f3-9be9-6a415313e78c", | 118 | "id": "633a8112-efb8-45f3-9be9-6a415313e78c", | ||
120 | "name": "Russia", | 119 | "name": "Russia", | ||
121 | "state": "active", | 120 | "state": "active", | ||
122 | "vocabulary_id": null | 121 | "vocabulary_id": null | ||
123 | }, | 122 | }, | ||
124 | { | 123 | { | ||
125 | "display_name": "accomodation", | 124 | "display_name": "accomodation", | ||
126 | "id": "a909e1ed-0628-4818-866d-14c70ecd6231", | 125 | "id": "a909e1ed-0628-4818-866d-14c70ecd6231", | ||
127 | "name": "accomodation", | 126 | "name": "accomodation", | ||
128 | "state": "active", | 127 | "state": "active", | ||
129 | "vocabulary_id": null | 128 | "vocabulary_id": null | ||
130 | }, | 129 | }, | ||
131 | { | 130 | { | ||
132 | "display_name": "data partner", | 131 | "display_name": "data partner", | ||
133 | "id": "3b3002bc-553c-40e3-b0ec-4634929b3ede", | 132 | "id": "3b3002bc-553c-40e3-b0ec-4634929b3ede", | ||
134 | "name": "data partner", | 133 | "name": "data partner", | ||
135 | "state": "active", | 134 | "state": "active", | ||
136 | "vocabulary_id": null | 135 | "vocabulary_id": null | ||
137 | }, | 136 | }, | ||
138 | { | 137 | { | ||
139 | "display_name": "points of interest", | 138 | "display_name": "points of interest", | ||
140 | "id": "a95d8198-bc5d-4c73-b16b-d8e83e5b78f7", | 139 | "id": "a95d8198-bc5d-4c73-b16b-d8e83e5b78f7", | ||
141 | "name": "points of interest", | 140 | "name": "points of interest", | ||
142 | "state": "active", | 141 | "state": "active", | ||
143 | "vocabulary_id": null | 142 | "vocabulary_id": null | ||
144 | }, | 143 | }, | ||
145 | { | 144 | { | ||
146 | "display_name": "price", | 145 | "display_name": "price", | ||
147 | "id": "337f4ed8-90f2-41c9-af57-64e535537de8", | 146 | "id": "337f4ed8-90f2-41c9-af57-64e535537de8", | ||
148 | "name": "price", | 147 | "name": "price", | ||
149 | "state": "active", | 148 | "state": "active", | ||
150 | "vocabulary_id": null | 149 | "vocabulary_id": null | ||
151 | } | 150 | } | ||
152 | ], | 151 | ], | ||
153 | "title": "Accommodation price and occupancy (POI) \u2013 Russia | 152 | "title": "Accommodation price and occupancy (POI) \u2013 Russia | ||
154 | (Data Appeal)", | 153 | (Data Appeal)", | ||
155 | "type": "dataset", | 154 | "type": "dataset", | ||
156 | "url": null, | 155 | "url": null, | ||
157 | "use_cases": | 156 | "use_cases": | ||
158 | te-selection,https://www.clevermaps.io/tracking-satisfaction-reviews", | 157 | te-selection,https://www.clevermaps.io/tracking-satisfaction-reviews", | ||
159 | "use_cases_description": "Evaluate your current network and find the | 158 | "use_cases_description": "Evaluate your current network and find the | ||
160 | locations with the best visibility, availability and performance based | 159 | locations with the best visibility, availability and performance based | ||
161 | on data about population, exposure or purchasing power.,Find the | 160 | on data about population, exposure or purchasing power.,Find the | ||
162 | locations with high and low market penetration. Place your new branch | 161 | locations with high and low market penetration. Place your new branch | ||
163 | smart with the help of data about population, other points of interest | 162 | smart with the help of data about population, other points of interest | ||
164 | or human mobility.,Analyze the presence of your competition and | 163 | or human mobility.,Analyze the presence of your competition and | ||
165 | include the findings in the business strategy. Location data will help | 164 | include the findings in the business strategy. Location data will help | ||
166 | you to try targeting areas with more potential.,Wondering where to | 165 | you to try targeting areas with more potential.,Wondering where to | ||
167 | place your next branch, when you already have all the important places | 166 | place your next branch, when you already have all the important places | ||
168 | in town covered? Find locations with undiscovered potential with | 167 | in town covered? Find locations with undiscovered potential with | ||
169 | location data.,Analyze\u00a0how popular your branches are based on | 168 | location data.,Analyze\u00a0how popular your branches are based on | ||
170 | customer reviews and their sentiment. Find places with a wrong | 169 | customer reviews and their sentiment. Find places with a wrong | ||
171 | sentiment and use CleverMaps to relocate them.", | 170 | sentiment and use CleverMaps to relocate them.", | ||
172 | "version": null, | 171 | "version": null, | ||
173 | "visualization": "Dotmap,Heatmap,Polygon,Grid" | 172 | "visualization": "Dotmap,Heatmap,Polygon,Grid" | ||
174 | } | 173 | } |