Changes
On November 7, 2023 at 12:29:02 AM UTC,
CleverMaps Data Catalog:
-
Changed value of field
price_notes
toPrice in USD without margin for a yearly license. Payment monthly. Also possible to acquire in packages for multiple countries or whole world.
in High Fidelity mobility data - Andorra (Factori)
| 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": "Human Mobility", | 5 | "category": "Human Mobility", | ||
| 6 | "coverage": "Andorra", | 6 | "coverage": "Andorra", | ||
| 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.lifesight.io/", | 9 | "data_source": "https://www.lifesight.io/", | ||
| 10 | "dataset_dimension": "Dataset", | 10 | "dataset_dimension": "Dataset", | ||
| 11 | "date_validity": "2023-01-01", | 11 | "date_validity": "2023-01-01", | ||
| 12 | "dimension": "", | 12 | "dimension": "", | ||
| 13 | "for_sale": "For sale", | 13 | "for_sale": "For sale", | ||
| 14 | "geometry": "Point", | 14 | "geometry": "Point", | ||
| 15 | "groups": [], | 15 | "groups": [], | ||
| 16 | "id": "d3e0449b-8949-4a14-a65c-aedab1056f46", | 16 | "id": "d3e0449b-8949-4a14-a65c-aedab1056f46", | ||
| 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": "2023-03-01T13:31:02.179337", | 24 | "metadata_created": "2023-03-01T13:31:02.179337", | ||
| n | 25 | "metadata_modified": "2023-03-30T13:30:44.240499", | n | 25 | "metadata_modified": "2023-11-07T00:29:02.767874", |
| 26 | "name": "lifesight-high_fidelity_mobility_data_-_andorra_factori", | 26 | "name": "lifesight-high_fidelity_mobility_data_-_andorra_factori", | ||
| 27 | "notes": "This dataset contains high precision human mobility data | 27 | "notes": "This dataset contains high precision human mobility data | ||
| 28 | collected from location aware partner mobile apps in Andorra. It | 28 | collected from location aware partner mobile apps in Andorra. It | ||
| 29 | includes attributes such as vertical accuracy and altitude to provide | 29 | includes attributes such as vertical accuracy and altitude to provide | ||
| 30 | accurate measurement. The data can be acquired for a single country or | 30 | accurate measurement. The data can be acquired for a single country or | ||
| 31 | for multiple countries at once in a package.", | 31 | for multiple countries at once in a package.", | ||
| 32 | "num_resources": 1, | 32 | "num_resources": 1, | ||
| 33 | "num_tags": 6, | 33 | "num_tags": 6, | ||
| 34 | "organization": { | 34 | "organization": { | ||
| 35 | "approval_status": "approved", | 35 | "approval_status": "approved", | ||
| 36 | "created": "2023-03-01T13:23:44.650948", | 36 | "created": "2023-03-01T13:23:44.650948", | ||
| n | 37 | "description": "Lifesight is a SaaS-based customer intelligence | n | 37 | "description": "Factori is a SaaS-based customer intelligence |
| 38 | platform founded in 2017 that helps brands, retailers and agencies | 38 | platform founded in 2017 that helps brands, retailers and agencies | ||
| 39 | understand, reach and measure their customers at scale so they can | 39 | understand, reach and measure their customers at scale so they can | ||
| 40 | optimize media spend and make better business decisions.", | 40 | optimize media spend and make better business decisions.", | ||
| 41 | "id": "9a10654c-1d5c-47bc-aeec-88c113c2ee47", | 41 | "id": "9a10654c-1d5c-47bc-aeec-88c113c2ee47", | ||
| 42 | "image_url": | 42 | "image_url": | ||
| n | 43 | .com/wp-content/uploads/2019/08/Lifesight-Logo-Blue-1-Debjit-Sen.png", | n | 43 | a1c839dc08252fd785a9/6323a39a21e499b37c4f76c2_factori-logo-light.svg", |
| 44 | "is_organization": true, | 44 | "is_organization": true, | ||
| n | 45 | "name": "lifesight", | n | 45 | "name": "factori", |
| 46 | "state": "active", | 46 | "state": "active", | ||
| n | 47 | "title": "Lifesight", | n | 47 | "title": "Factori", |
| 48 | "type": "organization" | 48 | "type": "organization" | ||
| 49 | }, | 49 | }, | ||
| 50 | "owner_org": "9a10654c-1d5c-47bc-aeec-88c113c2ee47", | 50 | "owner_org": "9a10654c-1d5c-47bc-aeec-88c113c2ee47", | ||
| n | 51 | "price_dataset_one_time": "60000", | n | ||
| 52 | "price_notes": "Price in USD for a yearly license. Payment monthly. | 51 | "price_notes": "Price in USD without margin for a yearly license. | ||
| 53 | Also possible to acquire in packages for multiple countries or whole | 52 | Payment monthly. Also possible to acquire in packages for multiple | ||
| 54 | world.", | 53 | countries or whole world.", | ||
| 55 | "private": false, | 54 | "private": false, | ||
| 56 | "relationships_as_object": [], | 55 | "relationships_as_object": [], | ||
| 57 | "relationships_as_subject": [], | 56 | "relationships_as_subject": [], | ||
| 58 | "resources": [ | 57 | "resources": [ | ||
| 59 | { | 58 | { | ||
| 60 | "cache_last_updated": null, | 59 | "cache_last_updated": null, | ||
| 61 | "cache_url": null, | 60 | "cache_url": null, | ||
| 62 | "ckan_url": "https://datacatalog.ps.cleveranalytics.com", | 61 | "ckan_url": "https://datacatalog.ps.cleveranalytics.com", | ||
| 63 | "created": "2023-02-17T17:00:18.656225", | 62 | "created": "2023-02-17T17:00:18.656225", | ||
| 64 | "datastore_active": true, | 63 | "datastore_active": true, | ||
| 65 | "datastore_contains_all_records_of_source_file": false, | 64 | "datastore_contains_all_records_of_source_file": false, | ||
| 66 | "description": "Data sample", | 65 | "description": "Data sample", | ||
| 67 | "format": "CSV", | 66 | "format": "CSV", | ||
| 68 | "hash": "785586cb54678b92a7cf878ee0e71ad0", | 67 | "hash": "785586cb54678b92a7cf878ee0e71ad0", | ||
| 69 | "id": "a5ddb7d3-e94f-4b9c-805e-6ec878d7f77e", | 68 | "id": "a5ddb7d3-e94f-4b9c-805e-6ec878d7f77e", | ||
| 70 | "ignore_hash": true, | 69 | "ignore_hash": true, | ||
| 71 | "last_modified": null, | 70 | "last_modified": null, | ||
| 72 | "map": | 71 | "map": | ||
| 73 | ints_overview_view?token=he2w0Y3gnLF1hFKufYiw1xqUv7ZKNvidPFaMOwyr2e0", | 72 | ints_overview_view?token=he2w0Y3gnLF1hFKufYiw1xqUv7ZKNvidPFaMOwyr2e0", | ||
| t | 74 | "metadata_modified": "2023-03-30T13:30:44.243989", | t | 73 | "metadata_modified": "2023-11-07T00:29:02.771403", |
| 75 | "mimetype": null, | 74 | "mimetype": null, | ||
| 76 | "mimetype_inner": null, | 75 | "mimetype_inner": null, | ||
| 77 | "name": "High fidelity mobility data", | 76 | "name": "High fidelity mobility data", | ||
| 78 | "original_url": | 77 | "original_url": | ||
| 79 | s3/data_partners/lifesight/factori_high_fidelity_mobility_sample.csv", | 78 | s3/data_partners/lifesight/factori_high_fidelity_mobility_sample.csv", | ||
| 80 | "package_id": "d3e0449b-8949-4a14-a65c-aedab1056f46", | 79 | "package_id": "d3e0449b-8949-4a14-a65c-aedab1056f46", | ||
| 81 | "position": 0, | 80 | "position": 0, | ||
| 82 | "resource_id": "a5ddb7d3-e94f-4b9c-805e-6ec878d7f77e", | 81 | "resource_id": "a5ddb7d3-e94f-4b9c-805e-6ec878d7f77e", | ||
| 83 | "resource_type": null, | 82 | "resource_type": null, | ||
| 84 | "s3link": | 83 | "s3link": | ||
| 85 | og/data_partners/lifesight/factori_high_fidelity_mobility_sample.csv", | 84 | og/data_partners/lifesight/factori_high_fidelity_mobility_sample.csv", | ||
| 86 | "set_url_type": false, | 85 | "set_url_type": false, | ||
| 87 | "size": null, | 86 | "size": null, | ||
| 88 | "state": "active", | 87 | "state": "active", | ||
| 89 | "task_created": "2023-03-16 10:57:10.845543", | 88 | "task_created": "2023-03-16 10:57:10.845543", | ||
| 90 | "url": | 89 | "url": | ||
| 91 | s3/data_partners/lifesight/factori_high_fidelity_mobility_sample.csv", | 90 | s3/data_partners/lifesight/factori_high_fidelity_mobility_sample.csv", | ||
| 92 | "url_type": null | 91 | "url_type": null | ||
| 93 | } | 92 | } | ||
| 94 | ], | 93 | ], | ||
| 95 | "state": "active", | 94 | "state": "active", | ||
| 96 | "tags": [ | 95 | "tags": [ | ||
| 97 | { | 96 | { | ||
| 98 | "display_name": "Andorra", | 97 | "display_name": "Andorra", | ||
| 99 | "id": "bd95b806-2613-4c03-bb53-c3a0199de173", | 98 | "id": "bd95b806-2613-4c03-bb53-c3a0199de173", | ||
| 100 | "name": "Andorra", | 99 | "name": "Andorra", | ||
| 101 | "state": "active", | 100 | "state": "active", | ||
| 102 | "vocabulary_id": null | 101 | "vocabulary_id": null | ||
| 103 | }, | 102 | }, | ||
| 104 | { | 103 | { | ||
| 105 | "display_name": "Lifesight", | 104 | "display_name": "Lifesight", | ||
| 106 | "id": "6dfa0ba5-bd0a-41f7-9f0a-c64088fabbb1", | 105 | "id": "6dfa0ba5-bd0a-41f7-9f0a-c64088fabbb1", | ||
| 107 | "name": "Lifesight", | 106 | "name": "Lifesight", | ||
| 108 | "state": "active", | 107 | "state": "active", | ||
| 109 | "vocabulary_id": null | 108 | "vocabulary_id": null | ||
| 110 | }, | 109 | }, | ||
| 111 | { | 110 | { | ||
| 112 | "display_name": "high fidelity", | 111 | "display_name": "high fidelity", | ||
| 113 | "id": "b408c38d-9ae2-4de3-b173-dd83b8245a71", | 112 | "id": "b408c38d-9ae2-4de3-b173-dd83b8245a71", | ||
| 114 | "name": "high fidelity", | 113 | "name": "high fidelity", | ||
| 115 | "state": "active", | 114 | "state": "active", | ||
| 116 | "vocabulary_id": null | 115 | "vocabulary_id": null | ||
| 117 | }, | 116 | }, | ||
| 118 | { | 117 | { | ||
| 119 | "display_name": "human mobility", | 118 | "display_name": "human mobility", | ||
| 120 | "id": "9c23286e-f6fe-4a7a-8153-b3f9fca6ac2f", | 119 | "id": "9c23286e-f6fe-4a7a-8153-b3f9fca6ac2f", | ||
| 121 | "name": "human mobility", | 120 | "name": "human mobility", | ||
| 122 | "state": "active", | 121 | "state": "active", | ||
| 123 | "vocabulary_id": null | 122 | "vocabulary_id": null | ||
| 124 | }, | 123 | }, | ||
| 125 | { | 124 | { | ||
| 126 | "display_name": "location data", | 125 | "display_name": "location data", | ||
| 127 | "id": "bb83dc99-b6e7-412c-9f7d-e15c0f86c377", | 126 | "id": "bb83dc99-b6e7-412c-9f7d-e15c0f86c377", | ||
| 128 | "name": "location data", | 127 | "name": "location data", | ||
| 129 | "state": "active", | 128 | "state": "active", | ||
| 130 | "vocabulary_id": null | 129 | "vocabulary_id": null | ||
| 131 | }, | 130 | }, | ||
| 132 | { | 131 | { | ||
| 133 | "display_name": "mobility data", | 132 | "display_name": "mobility data", | ||
| 134 | "id": "d22dd249-4d5b-48c2-8b8f-927d6b496353", | 133 | "id": "d22dd249-4d5b-48c2-8b8f-927d6b496353", | ||
| 135 | "name": "mobility data", | 134 | "name": "mobility data", | ||
| 136 | "state": "active", | 135 | "state": "active", | ||
| 137 | "vocabulary_id": null | 136 | "vocabulary_id": null | ||
| 138 | } | 137 | } | ||
| 139 | ], | 138 | ], | ||
| 140 | "title": "High Fidelity mobility data - Andorra (Factori)", | 139 | "title": "High Fidelity mobility data - Andorra (Factori)", | ||
| 141 | "type": "dataset", | 140 | "type": "dataset", | ||
| 142 | "url": null, | 141 | "url": null, | ||
| 143 | "use_cases": | 142 | "use_cases": | ||
| 144 | evermaps.io/site-evaluation,https://www.clevermaps.io/site-selection", | 143 | evermaps.io/site-evaluation,https://www.clevermaps.io/site-selection", | ||
| 145 | "use_cases_description": "Learn about the typical characteristics of | 144 | "use_cases_description": "Learn about the typical characteristics of | ||
| 146 | your customer and find out the localities with high share of these | 145 | your customer and find out the localities with high share of these | ||
| 147 | people to target new potential locations for your business.,Evaluate | 146 | people to target new potential locations for your business.,Evaluate | ||
| 148 | your current network and find the locations with the best visibility, | 147 | your current network and find the locations with the best visibility, | ||
| 149 | availability and performance based on data about population, exposure | 148 | availability and performance based on data about population, exposure | ||
| 150 | or purchasing power.,Locate the places with an insufficient coverage | 149 | or purchasing power.,Locate the places with an insufficient coverage | ||
| 151 | based on data about population. Evaluate planned locations and find | 150 | based on data about population. Evaluate planned locations and find | ||
| 152 | out straightaway what amount of people will you | 151 | out straightaway what amount of people will you | ||
| 153 | cover.,Evaluate\u00a0the retail potential of any address and measure | 152 | cover.,Evaluate\u00a0the retail potential of any address and measure | ||
| 154 | its attractiveness within its natural catchment area.\u00a0Choosing | 153 | its attractiveness within its natural catchment area.\u00a0Choosing | ||
| 155 | the right place for you business has never been easier.,Wondering | 154 | the right place for you business has never been easier.,Wondering | ||
| 156 | where to place your next branch, when you already have all the | 155 | where to place your next branch, when you already have all the | ||
| 157 | important places in town covered? Find locations with undiscovered | 156 | important places in town covered? Find locations with undiscovered | ||
| 158 | potential with location data.", | 157 | potential with location data.", | ||
| 159 | "version": null, | 158 | "version": null, | ||
| 160 | "visualization": "Heatmap,Polygon,Grid" | 159 | "visualization": "Heatmap,Polygon,Grid" | ||
| 161 | } | 160 | } |