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{
f
1
{
            
2
  "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": "Upon request",
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  "availability": "Upon request",
            
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  "category": "Geotypes/Consumer Segments",
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  "category": "Geotypes/Consumer Segments",
            
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  "coverage": "Denmark",
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  "coverage": "Denmark",
            
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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": "No coordinate system",
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  "crs": "No coordinate system",
            
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  "data_source": "https://www.mb-research.de/",
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  "data_source": "https://www.mb-research.de/",
            
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  "dataset_dimension": "Dataset",
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  "dataset_dimension": "Dataset",
            
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  "date_validity": "2021-01-01",
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  "date_validity": "2021-01-01",
            
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  "dimension": 
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  "dimension": 
            
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"https://secure.clevermaps.io/#/projectList/project/m30b90q331i3gio3",
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"https://secure.clevermaps.io/#/projectList/project/m30b90q331i3gio3",
            
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  "for_sale": "For sale",
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  "for_sale": "For sale",
            
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  "geometry": "No geometry",
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  "geometry": "No geometry",
            
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  "groups": [],
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  "groups": [],
            
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  "id": "c596f69b-9bba-4632-afc2-ce754c66b90e",
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  "id": "c596f69b-9bba-4632-afc2-ce754c66b90e",
            
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  "isopen": true,
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  "isopen": true,
            
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  "license_id": "cc-zero",
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  "license_id": "cc-zero",
            
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  "license_title": "Creative Commons CCZero",
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  "license_title": "Creative Commons CCZero",
            
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  "license_url": "http://www.opendefinition.org/licenses/cc-zero",
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  "license_url": "http://www.opendefinition.org/licenses/cc-zero",
            
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  "lowest_granularity": "Postcodes",
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  "lowest_granularity": "Postcodes",
            
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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": "2023-03-01T13:30:32.771378",
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  "metadata_created": "2023-03-01T13:30:32.771378",
            
n
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  "metadata_modified": "2023-03-01T13:30:32.771384",
n
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  "metadata_modified": "2023-03-30T13:30:21.167072",
            
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  "name": 
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  "name": 
            
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arch-consumer_spending_by_product_groups_-_denmark_4-digit_postcodes",
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arch-consumer_spending_by_product_groups_-_denmark_4-digit_postcodes",
            
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  "notes": "This dataset contains information about the kind od 
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  "notes": "This dataset contains information about the kind od 
            
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products that customers tend to spend for the most. You can purchase 
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products that customers tend to spend for the most. You can purchase 
            
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the dataset on the level of 4-digit postcodes (1 090 units). This sort 
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the dataset on the level of 4-digit postcodes (1 090 units). This sort 
            
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of dataset is also available in other European countries.",
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of dataset is also available in other European countries.",
            
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  "num_resources": 1,
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  "num_resources": 1,
            
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  "num_tags": 0,
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  "num_tags": 0,
            
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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": "2023-01-29T16:55:22.474138",
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    "created": "2023-01-29T16:55:22.474138",
            
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    "description": "MB-Research is a company specializing itself in 
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    "description": "MB-Research is a company specializing itself in 
            
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providing its users with economic data on different administrative and 
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providing its users with economic data on different administrative and 
            
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postal levels across Europe. The company mostly offers data about 
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postal levels across Europe. The company mostly offers data about 
            
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purchasing power, unemployment, demography and also series of 
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purchasing power, unemployment, demography and also series of 
            
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different packages derived from this data.",
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different packages derived from this data.",
            
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    "id": "bea8ce14-5031-4087-ac7f-1e30b4395fbd",
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    "id": "bea8ce14-5031-4087-ac7f-1e30b4395fbd",
            
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    "image_url": 
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    "image_url": 
            
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bs.twimg.com/profile_images/1275751395032006656/nQgmFA8I_400x400.jpg",
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bs.twimg.com/profile_images/1275751395032006656/nQgmFA8I_400x400.jpg",
            
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    "is_organization": true,
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    "is_organization": true,
            
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    "name": "mb-research",
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    "name": "mb-research",
            
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    "state": "active",
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    "state": "active",
            
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    "title": "MB-Research",
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    "title": "MB-Research",
            
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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": "bea8ce14-5031-4087-ac7f-1e30b4395fbd",
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  "owner_org": "bea8ce14-5031-4087-ac7f-1e30b4395fbd",
            
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  "price_dataset_one_time": "90000",
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  "price_dataset_one_time": "90000",
            
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  "price_notes": "For all product groups. Also available for one 
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  "price_notes": "For all product groups. Also available for one 
            
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product group for 1650 \u20ac, each additional product group is 500 
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product group for 1650 \u20ac, each additional product group is 500 
            
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\u20ac. Please find the relevant documents for price creation here: 
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\u20ac. Please find the relevant documents for price creation here: 
            
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s://drive.google.com/drive/folders/18yCEyUhl-_0-tzXQ5uxMRCOx56B4dHTp",
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s://drive.google.com/drive/folders/18yCEyUhl-_0-tzXQ5uxMRCOx56B4dHTp",
            
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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": "2022-08-05T10:19:40.621352",
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      "created": "2022-08-05T10:19:40.621352",
            
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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 sample",
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      "description": "Data sample",
            
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      "format": "CSV",
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      "format": "CSV",
            
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      "hash": "11e707d829d96462ca4a9a3320617178",
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      "hash": "11e707d829d96462ca4a9a3320617178",
            
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      "id": "b19c9233-dd93-40d9-a911-fe234a9d6517",
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      "id": "b19c9233-dd93-40d9-a911-fe234a9d6517",
            
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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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nsumer_spending_view?token=he2w0Y3gnLF1hFKufYiw1xqUv7ZKNvidPFaMOwyr2e0 
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nsumer_spending_view?token=he2w0Y3gnLF1hFKufYiw1xqUv7ZKNvidPFaMOwyr2e0 
            
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",
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",
            
n
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      "metadata_modified": "2023-03-01T13:30:32.769348",
n
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      "metadata_modified": "2023-03-30T13:30:21.170738",
            
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      "mimetype": null,
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      "mimetype": null,
            
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      "mimetype_inner": null,
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      "mimetype_inner": null,
            
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      "name": "Consumer Spending by Product Groups",
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      "name": "Consumer Spending by Product Groups",
            
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      "original_url": 
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      "original_url": 
            
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3/data_partners/mb_research/mb_research_sample_consumer_spending.csv",
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3/data_partners/mb_research/mb_research_sample_consumer_spending.csv",
            
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      "package_id": "c596f69b-9bba-4632-afc2-ce754c66b90e",
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      "package_id": "c596f69b-9bba-4632-afc2-ce754c66b90e",
            
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      "position": 0,
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      "position": 0,
            
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      "resource_id": "b19c9233-dd93-40d9-a911-fe234a9d6517",
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      "resource_id": "b19c9233-dd93-40d9-a911-fe234a9d6517",
            
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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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g/data_partners/mb_research/mb_research_sample_consumer_spending.csv",
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g/data_partners/mb_research/mb_research_sample_consumer_spending.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",
            
t
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      "task_created": "2023-02-17 17:10:46.294999",
t
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      "task_created": "2023-03-16 10:54:15.847290",
            
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      "url": 
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      "url": 
            
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3/data_partners/mb_research/mb_research_sample_consumer_spending.csv",
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3/data_partners/mb_research/mb_research_sample_consumer_spending.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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  "title": "Consumer Spending by Product Groups \u2013 Denmark 
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  "title": "Consumer Spending by Product Groups \u2013 Denmark 
            
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(4-digit postcodes)",
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(4-digit postcodes)",
            
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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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telligence-market-research,https://www.clevermaps.io/site-evaluation",
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telligence-market-research,https://www.clevermaps.io/site-evaluation",
            
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  "use_cases_description": "Finding out the real catchment areas of 
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  "use_cases_description": "Finding out the real catchment areas of 
            
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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.,Locate 
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areas can help you optimizing the locations of your branches.,Locate 
            
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the places with an insufficient coverage based on data about 
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the places with an insufficient coverage based on data about 
            
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population. Evaluate planned locations and find out straightaway what 
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population. Evaluate planned locations and find out straightaway what 
            
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amount of people will you cover.,Analyze your current market share on 
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amount of people will you cover.,Analyze your current market share on 
            
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a spatial level to focus your expansion efforts on the areas with a 
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a spatial level to focus your expansion efforts on the areas with a 
            
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potential customer base and a beneficial number of 
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potential customer base and a beneficial number of 
            
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competitors.,Analyze the presence of your competition and include the 
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competitors.,Analyze the presence of your competition and include the 
            
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findings in the business strategy. Location data will help you to try 
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findings in the business strategy. Location data will help you to try 
            
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targeting areas with more potential.,Evaluate\u00a0the retail 
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targeting areas with more potential.,Evaluate\u00a0the retail 
            
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potential of any address and measure its attractiveness within its 
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potential of any address and measure its attractiveness within its 
            
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natural catchment area.\u00a0Choosing the right place for you business 
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natural catchment area.\u00a0Choosing the right place for you business 
            
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has never been easier.",
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has never been easier.",
            
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  "version": null,
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  "version": null,
            
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  "visualization": "Polygon"
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  "visualization": "Polygon"
            
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}
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}