Changes

              
    

          
          
        
        

            
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{
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{
            
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  "author": "Franti\u0161ek Pavl\u00ed\u010dek",
2
  "author": "Franti\u0161ek Pavl\u00ed\u010dek",
            
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  "author_email": "frantisek.pavlicek@clevermaps.io",
3
  "author_email": "frantisek.pavlicek@clevermaps.io",
            
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  "availability": "Available",
4
  "availability": "Available",
            
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  "category": "Demography",
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  "category": "Demography",
            
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  "coverage": "France",
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  "coverage": "France",
            
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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)",
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  "crs": "4326 (WGS84)",
            
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  "data_source": "https://www.worldpop.org/",
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  "data_source": "https://www.worldpop.org/",
            
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  "dataset_dimension": "Dataset",
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  "dataset_dimension": "Dataset",
            
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  "date_validity": "2020-01-01",
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  "date_validity": "2020-01-01",
            
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  "dimension": "",
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  "dimension": "",
            
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  "for_sale": "For sale",
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  "for_sale": "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": "d4b43d72-134a-47ef-bc7a-8baf9459bbcc",
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  "id": "d4b43d72-134a-47ef-bc7a-8baf9459bbcc",
            
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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": "City",
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  "lowest_granularity": "City",
            
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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": "2023-03-01T13:31:04.354189",
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  "metadata_created": "2023-03-01T13:31:04.354189",
            
n
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  "metadata_modified": "2023-03-30T13:30:46.318245",
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  "metadata_modified": "2023-11-04T00:27:14.652875",
            
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  "name": "age-and-gender-structure-in-paris-worldpop",
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  "name": "age-and-gender-structure-in-paris-worldpop",
            
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  "notes": "This dataset contains the age and gender structure in 
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  "notes": "This dataset contains the age and gender structure in 
            
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Paris collected from WorldPop data. If the data is available in the 
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Paris collected from WorldPop data. If the data is available in the 
            
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selected country, CleverMaps adjusts the original data based on the 
28
selected country, CleverMaps adjusts the original data based on the 
            
29
Corine landcover database. You can choose, whether you want to 
29
Corine landcover database. You can choose, whether you want to 
            
30
visualize the data on grid, some administrative division or heatmap.",
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visualize the data on grid, some administrative division or heatmap.",
            
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  "num_resources": 1,
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  "num_resources": 1,
            
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  "num_tags": 5,
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  "num_tags": 5,
            
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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": "2023-01-29T16:55:22.816154",
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    "created": "2023-01-29T16:55:22.816154",
            
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    "description": "WorldPop was initiated in October 2013 to combine 
36
    "description": "WorldPop was initiated in October 2013 to combine 
            
37
the AfriPop, AsiaPop and AmeriPop population mapping projects. It aims 
37
the AfriPop, AsiaPop and AmeriPop population mapping projects. It aims 
            
38
to provide an open access archive of spatial demographic datasets for 
38
to provide an open access archive of spatial demographic datasets for 
            
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Central and South America, Africa and Asia to support development, 
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Central and South America, Africa and Asia to support development, 
            
40
disaster response and health applications. The methods used are 
40
disaster response and health applications. The methods used are 
            
41
designed with full open access and operational application in mind, 
41
designed with full open access and operational application in mind, 
            
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using transparent, fully documented and peer-reviewed methods to 
42
using transparent, fully documented and peer-reviewed methods to 
            
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produce easily updatable maps with accompanying metadata and measures 
43
produce easily updatable maps with accompanying metadata and measures 
            
44
of uncertainty.",
44
of uncertainty.",
            
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    "id": "3c08cb3e-ff03-4482-b434-cff362f6cffe",
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    "id": "3c08cb3e-ff03-4482-b434-cff362f6cffe",
            
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    "image_url": 
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    "image_url": 
            
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rldpop.org/resources/wp_logo/high_resolution/wp_logotype_navy_hi.png",
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rldpop.org/resources/wp_logo/high_resolution/wp_logotype_navy_hi.png",
            
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    "is_organization": true,
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    "is_organization": true,
            
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    "name": "worldpop",
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    "name": "worldpop",
            
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    "state": "active",
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    "state": "active",
            
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    "title": "WorldPop",
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    "title": "WorldPop",
            
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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": "3c08cb3e-ff03-4482-b434-cff362f6cffe",
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  "owner_org": "3c08cb3e-ff03-4482-b434-cff362f6cffe",
            
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  "price_dataset_one_time": "35000",
n
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  "price_notes": "For more information, please see: 
            
56
  "price_notes": "Please find the relevant documents for price 

            
57
creation 

            
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hleeX2B7t-F3PBmt8GHvBY-XCz_ka41mVZ7A/edit#slide=id.g130967a04fb_0_21",
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hleeX2B7t-F3PBmt8GHvBY-XCz_ka41mVZ7A/edit#slide=id.g285d7f3e446_0_15",
            
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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": "2021-09-30T13:01:19.026204",
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      "created": "2021-09-30T13:01:19.026204",
            
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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": "Aggregated on H3 grid level 9, adjusted based on 
68
      "description": "Aggregated on H3 grid level 9, adjusted based on 
            
71
Corine Landcover",
69
Corine Landcover",
            
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      "format": "CSV",
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      "format": "CSV",
            
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      "hash": "3cc11400e380c0065455649d029786eb",
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      "hash": "3cc11400e380c0065455649d029786eb",
            
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      "id": "c17c66e7-fa44-42d2-92a8-211ede203fa2",
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      "id": "c17c66e7-fa44-42d2-92a8-211ede203fa2",
            
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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,
            
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      "map": 
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      "map": 
            
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ap/demography_view?token=he2w0Y3gnLF1hFKufYiw1xqUv7ZKNvidPFaMOwyr2e0",
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ap/demography_view?token=he2w0Y3gnLF1hFKufYiw1xqUv7ZKNvidPFaMOwyr2e0",
            
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      "metadata_modified": "2023-03-30T13:30:46.321712",
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      "metadata_modified": "2023-11-04T00:27:14.656522",
            
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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": "Age and gender structure",
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      "name": "Age and gender structure",
            
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      "original_url": 
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      "original_url": 
            
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mensioned/worldpop/france/paris_age_structure_2020_corine_h3grid.csv",
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mensioned/worldpop/france/paris_age_structure_2020_corine_h3grid.csv",
            
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      "package_id": "d4b43d72-134a-47ef-bc7a-8baf9459bbcc",
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      "package_id": "d4b43d72-134a-47ef-bc7a-8baf9459bbcc",
            
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      "position": 0,
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      "position": 0,
            
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      "resource_id": "c17c66e7-fa44-42d2-92a8-211ede203fa2",
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      "resource_id": "c17c66e7-fa44-42d2-92a8-211ede203fa2",
            
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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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mensioned/worldpop/france/paris_age_structure_2020_corine_h3grid.csv",
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mensioned/worldpop/france/paris_age_structure_2020_corine_h3grid.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": "2023-03-16 10:54:35.236168",
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      "task_created": "2023-03-16 10:54:35.236168",
            
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      "url": 
93
      "url": 
            
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mensioned/worldpop/france/paris_age_structure_2020_corine_h3grid.csv",
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mensioned/worldpop/france/paris_age_structure_2020_corine_h3grid.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": "Age structure",
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      "display_name": "Age structure",
            
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      "id": "32751a44-a59e-45c1-a3ed-74db31f5cf3a",
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      "id": "32751a44-a59e-45c1-a3ed-74db31f5cf3a",
            
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      "name": "Age structure",
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      "name": "Age structure",
            
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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": "France",
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      "display_name": "France",
            
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      "id": "ff441ab8-e40e-4be8-bb8d-aaad0d6ecafc",
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      "id": "ff441ab8-e40e-4be8-bb8d-aaad0d6ecafc",
            
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      "name": "France",
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      "name": "France",
            
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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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    {
114
    {
            
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      "display_name": "Gender structure",
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      "display_name": "Gender structure",
            
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      "id": "828f5857-ef0d-4f0d-8ebc-98c6b4738660",
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      "id": "828f5857-ef0d-4f0d-8ebc-98c6b4738660",
            
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      "name": "Gender structure",
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      "name": "Gender structure",
            
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      "state": "active",
118
      "state": "active",
            
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      "vocabulary_id": null
119
      "vocabulary_id": null
            
122
    },
120
    },
            
123
    {
121
    {
            
124
      "display_name": "Paris",
122
      "display_name": "Paris",
            
125
      "id": "e6c52662-dfa5-4eaa-b343-218d70a2dae1",
123
      "id": "e6c52662-dfa5-4eaa-b343-218d70a2dae1",
            
126
      "name": "Paris",
124
      "name": "Paris",
            
127
      "state": "active",
125
      "state": "active",
            
128
      "vocabulary_id": null
126
      "vocabulary_id": null
            
129
    },
127
    },
            
130
    {
128
    {
            
131
      "display_name": "demography",
129
      "display_name": "demography",
            
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      "id": "f3651aa8-b89f-4a21-8ed9-268e503964be",
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      "id": "f3651aa8-b89f-4a21-8ed9-268e503964be",
            
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      "name": "demography",
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      "name": "demography",
            
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      "state": "active",
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      "state": "active",
            
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      "vocabulary_id": null
133
      "vocabulary_id": null
            
136
    }
134
    }
            
137
  ],
135
  ],
            
138
  "title": "Age and gender structure in Paris (WorldPop)",
136
  "title": "Age and gender structure in Paris (WorldPop)",
            
139
  "type": "dataset",
137
  "type": "dataset",
            
140
  "url": null,
138
  "url": null,
            
141
  "use_cases": 
139
  "use_cases": 
            
142
.io/opportunity-prediction,https://www.clevermaps.io/site-evaluation",
140
.io/opportunity-prediction,https://www.clevermaps.io/site-evaluation",
            
143
  "use_cases_description": "Location data visualized in our platform 
141
  "use_cases_description": "Location data visualized in our platform 
            
144
will help you to analyze the market penetration and you will be able 
142
will help you to analyze the market penetration and you will be able 
            
145
to locate places with previously undiscovered 
143
to locate places with previously undiscovered 
            
146
potential.,Detect\u00a0areas with the most competitive pressure and 
144
potential.,Detect\u00a0areas with the most competitive pressure and 
            
147
identify the line between too many competitors and a beneficial number 
145
identify the line between too many competitors and a beneficial number 
            
148
of competitors to avoid useless costs.,How much revenue can you expect 
146
of competitors to avoid useless costs.,How much revenue can you expect 
            
149
at your new site or what will happen when you close one? Understand 
147
at your new site or what will happen when you close one? Understand 
            
150
how your\u00a0decisions will impact your overall business 
148
how your\u00a0decisions will impact your overall business 
            
151
performance.,Evaluate\u00a0the retail potential of any address and 
149
performance.,Evaluate\u00a0the retail potential of any address and 
            
152
measure its attractiveness within its natural catchment 
150
measure its attractiveness within its natural catchment 
            
153
area.\u00a0Choosing the right place for you business has never been 
151
area.\u00a0Choosing the right place for you business has never been 
            
154
easier.",
152
easier.",
            
155
  "version": null,
153
  "version": null,
            
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  "visualization": "Polygon,Grid"
154
  "visualization": "Polygon,Grid"
            
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}
155
}