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f
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{
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": "Available",
4
  "availability": "Available",
            
5
  "category": "Administrative Units",
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  "category": "Administrative Units",
            
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  "coverage": "Czech Republic",
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  "coverage": "Czech Republic",
            
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  "creator_user_id": "e2185bb8-8a2a-457e-a273-2e757a7866d8",
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  "creator_user_id": "e2185bb8-8a2a-457e-a273-2e757a7866d8",
            
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  "crs": "4326 (WGS84)",
8
  "crs": "4326 (WGS84)",
            
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  "data_source": "https://www.cuzk.cz/en",
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  "data_source": "https://www.cuzk.cz/en",
            
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  "dataset_dimension": "Dataset",
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  "dataset_dimension": "Dataset",
            
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  "date_validity": "2018-01-01",
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  "date_validity": "2018-01-01",
            
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  "dimension": 
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  "dimension": 
            
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"https://secure.clevermaps.io/#/projectList/project/d3rf25iv95lt26k4",
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"https://secure.clevermaps.io/#/projectList/project/d3rf25iv95lt26k4",
            
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  "for_sale": "Not for sale",
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  "for_sale": "Not for sale",
            
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  "geometry": "Point",
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  "geometry": "Point",
            
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  "groups": [],
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  "groups": [],
            
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  "id": "5a6897cc-2f19-4d3b-9c91-96e56c1298ae",
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  "id": "5a6897cc-2f19-4d3b-9c91-96e56c1298ae",
            
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  "isopen": false,
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  "isopen": false,
            
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  "license_id": null,
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  "license_id": null,
            
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  "license_title": null,
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  "license_title": null,
            
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  "lowest_granularity": "Lower than municipalities",
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  "lowest_granularity": "Lower than municipalities",
            
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  "maintainer": null,
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  "maintainer": null,
            
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  "maintainer_email": null,
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  "maintainer_email": null,
            
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  "metadata_created": "2023-03-01T13:26:47.937153",
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  "metadata_created": "2023-03-01T13:26:47.937153",
            
n
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  "metadata_modified": "2023-03-01T13:26:47.937160",
n
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  "metadata_modified": "2023-11-07T00:21:37.364213",
            
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  "name": "address-points-in-the-czech-republic",
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  "name": "address-points-in-the-czech-republic",
            
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  "notes": "This dataset contains the address points in the Czech 
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  "notes": "This dataset contains the address points in the Czech 
            
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Republic. The data was collected from Czech Statistical Office. There 
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Republic. The data was collected from Czech Statistical Office. There 
            
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are cca 2 940 000 address points in Czech Republic and it is the 
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are cca 2 940 000 address points in Czech Republic and it is the 
            
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lowest granularity available. You can connect the address points to 
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lowest granularity available. You can connect the address points to 
            
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any other unit that CleverMaps offers in Czech Republic or use it on 
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any other unit that CleverMaps offers in Czech Republic or use it on 
            
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its own.",
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its own.",
            
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  "num_resources": 1,
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  "num_resources": 1,
            
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  "num_tags": 3,
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  "num_tags": 3,
            
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  "organization": {
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  "organization": {
            
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    "approval_status": "approved",
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    "approval_status": "approved",
            
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    "created": "2023-01-29T16:58:20.880795",
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    "created": "2023-01-29T16:58:20.880795",
            
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    "description": "The Czech Office for Surveying, Mapping and 
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    "description": "The Czech Office for Surveying, Mapping and 
            
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Cadastre is an autonomous supreme body of the state administration of 
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Cadastre is an autonomous supreme body of the state administration of 
            
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surveying, mapping and cadastre in the Czech Republic. The president 
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surveying, mapping and cadastre in the Czech Republic. The president 
            
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of\u00a0\u010c\u00daZK is subordinated only to the prime minister of 
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of\u00a0\u010c\u00daZK is subordinated only to the prime minister of 
            
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the Government. The Office has its own account in the State budget of 
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the Government. The Office has its own account in the State budget of 
            
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the Czech Republic.",
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the Czech Republic.",
            
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    "id": "43cabf9a-9559-40d1-a335-6eb205b4cc0f",
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    "id": "43cabf9a-9559-40d1-a335-6eb205b4cc0f",
            
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    "image_url": 
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    "image_url": 
            
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ww.sefira.cz/wp-content/uploads/2013/09/sefira-klienti-%C4%8Duzk.png",
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ww.sefira.cz/wp-content/uploads/2013/09/sefira-klienti-%C4%8Duzk.png",
            
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    "is_organization": true,
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    "is_organization": true,
            
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    "name": "cuzk",
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    "name": "cuzk",
            
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    "state": "active",
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    "state": "active",
            
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    "title": "\u010c\u00daZK",
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    "title": "\u010c\u00daZK",
            
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    "type": "organization"
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    "type": "organization"
            
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  },
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  },
            
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  "owner_org": "43cabf9a-9559-40d1-a335-6eb205b4cc0f",
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  "owner_org": "43cabf9a-9559-40d1-a335-6eb205b4cc0f",
            
n
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  "price_dataset_one_time": "0",
n

            
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  "price_notes": "Open data, we can only sell it with the platform.",
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  "price_notes": "Open data, we can only sell this for use in CM 
            
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Studio. For more information, please see: 
            
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hleeX2B7t-F3PBmt8GHvBY-XCz_ka41mVZ7A/edit#slide=id.g285d7f3e446_0_22",
            
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  "private": false,
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  "private": false,
            
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  "relationships_as_object": [],
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  "relationships_as_object": [],
            
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  "relationships_as_subject": [],
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  "relationships_as_subject": [],
            
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  "resources": [
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  "resources": [
            
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    {
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    {
            
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      "cache_last_updated": null,
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      "cache_last_updated": null,
            
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      "cache_url": null,
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      "cache_url": null,
            
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      "ckan_url": "https://datacatalog.ps.cleveranalytics.com",
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      "ckan_url": "https://datacatalog.ps.cleveranalytics.com",
            
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      "created": "2022-07-04T16:19:55.262893",
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      "created": "2022-07-04T16:19:55.262893",
            
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      "datastore_active": true,
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      "datastore_active": true,
            
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      "datastore_contains_all_records_of_source_file": false,
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      "datastore_contains_all_records_of_source_file": false,
            
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      "description": "Data table",
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      "description": "Data table",
            
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      "format": "CSV",
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      "format": "CSV",
            
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      "hash": "b9931afe487f23ba87d5636488bbff88",
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      "hash": "b9931afe487f23ba87d5636488bbff88",
            
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      "id": "6f1a9f50-ac81-4f94-a840-33e8d812ff29",
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      "id": "6f1a9f50-ac81-4f94-a840-33e8d812ff29",
            
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      "ignore_hash": true,
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      "ignore_hash": true,
            
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      "last_modified": null,
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      "last_modified": null,
            
t
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      "metadata_modified": "2023-03-01T13:26:47.930833",
t
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      "metadata_modified": "2023-11-07T00:21:37.368192",
            
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      "mimetype": "text/csv",
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      "mimetype": "text/csv",
            
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      "mimetype_inner": null,
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      "mimetype_inner": null,
            
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      "name": "Address points",
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      "name": "Address points",
            
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      "original_url": 
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      "original_url": 
            
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s3/geotypes_consumers_segments/can-dim-address-points-cz/ami_dwh.csv",
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s3/geotypes_consumers_segments/can-dim-address-points-cz/ami_dwh.csv",
            
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      "package_id": "5a6897cc-2f19-4d3b-9c91-96e56c1298ae",
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      "package_id": "5a6897cc-2f19-4d3b-9c91-96e56c1298ae",
            
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      "position": 0,
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      "position": 0,
            
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      "resource_id": "6f1a9f50-ac81-4f94-a840-33e8d812ff29",
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      "resource_id": "6f1a9f50-ac81-4f94-a840-33e8d812ff29",
            
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      "resource_type": null,
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      "resource_type": null,
            
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      "s3link": 
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      "s3link": 
            
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og/geotypes_consumers_segments/can-dim-address-points-cz/ami_dwh.csv",
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og/geotypes_consumers_segments/can-dim-address-points-cz/ami_dwh.csv",
            
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      "set_url_type": false,
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      "set_url_type": false,
            
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      "size": null,
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      "size": null,
            
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      "state": "active",
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      "state": "active",
            
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      "task_created": "2022-11-07 14:13:22.519704",
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      "task_created": "2022-11-07 14:13:22.519704",
            
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      "url": 
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      "url": 
            
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s3/geotypes_consumers_segments/can-dim-address-points-cz/ami_dwh.csv",
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s3/geotypes_consumers_segments/can-dim-address-points-cz/ami_dwh.csv",
            
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      "url_type": null
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      "url_type": null
            
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    }
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    }
            
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  ],
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  ],
            
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  "state": "active",
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  "state": "active",
            
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  "tags": [
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  "tags": [
            
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    {
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    {
            
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      "display_name": "Address points",
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      "display_name": "Address points",
            
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      "id": "a9e70878-9695-4085-b11f-662afe4d17c4",
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      "id": "a9e70878-9695-4085-b11f-662afe4d17c4",
            
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      "name": "Address points",
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      "name": "Address points",
            
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      "state": "active",
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      "state": "active",
            
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      "vocabulary_id": null
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      "vocabulary_id": null
            
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    },
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    },
            
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    {
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    {
            
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      "display_name": "Czech Republic",
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      "display_name": "Czech Republic",
            
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      "id": "90b90e63-130f-478e-a12b-4ce6e0d7b2b4",
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      "id": "90b90e63-130f-478e-a12b-4ce6e0d7b2b4",
            
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      "name": "Czech Republic",
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      "name": "Czech Republic",
            
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      "state": "active",
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      "state": "active",
            
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      "vocabulary_id": null
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      "vocabulary_id": null
            
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    },
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    },
            
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    {
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    {
            
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      "display_name": "d3rf25iv95lt26k4",
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      "display_name": "d3rf25iv95lt26k4",
            
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      "id": "ffd06f7f-99a8-43a3-a22e-84701386bbc4",
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      "id": "ffd06f7f-99a8-43a3-a22e-84701386bbc4",
            
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      "name": "d3rf25iv95lt26k4",
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      "name": "d3rf25iv95lt26k4",
            
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      "state": "active",
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      "state": "active",
            
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      "vocabulary_id": null
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      "vocabulary_id": null
            
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    }
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    }
            
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  ],
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  ],
            
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  "title": "Address points in the Czech Republic",
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  "title": "Address points in the Czech Republic",
            
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  "type": "dataset",
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  "type": "dataset",
            
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  "url": null,
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  "url": null,
            
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  "use_cases": 
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  "use_cases": 
            
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-potential-and-share-657,https://www.clevermaps.io/market-saturation",
123
-potential-and-share-657,https://www.clevermaps.io/market-saturation",
            
123
  "use_cases_description": "Finding out the real catchment areas of 
124
  "use_cases_description": "Finding out the real catchment areas of 
            
124
your branches and comparing them with driving or walking catchment 
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your branches and comparing them with driving or walking catchment 
            
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areas can help you optimizing the locations of your branches.,Location 
126
areas can help you optimizing the locations of your branches.,Location 
            
126
data visualized in our platform will help you to analyze the market 
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data visualized in our platform will help you to analyze the market 
            
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penetration and you will be able to locate places with previously 
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penetration and you will be able to locate places with previously 
            
128
undiscovered potential.,Find the locations with high and low market 
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undiscovered potential.,Find the locations with high and low market 
            
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penetration. Place your new branch smart with the help of data about 
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penetration. Place your new branch smart with the help of data about 
            
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population, other points of interest or human mobility.,Analyze your 
131
population, other points of interest or human mobility.,Analyze your 
            
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current market share on a spatial level to focus your expansion 
132
current market share on a spatial level to focus your expansion 
            
132
efforts on the areas with a potential customer base and a beneficial 
133
efforts on the areas with a potential customer base and a beneficial 
            
133
number of competitors.,Detect\u00a0areas with the most competitive 
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number of competitors.,Detect\u00a0areas with the most competitive 
            
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pressure and identify the line between too many competitors and a 
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pressure and identify the line between too many competitors and a 
            
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beneficial number of competitors to avoid useless costs.",
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beneficial number of competitors to avoid useless costs.",
            
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  "version": null,
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  "version": null,
            
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  "visualization": "Dotmap,Heatmap"
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  "visualization": "Dotmap,Heatmap"
            
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}
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}