Changes
On November 7, 2023 at 12:31:26 AM UTC, CleverMaps Data Catalog:
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No fields were updated. See the metadata diff for more details.
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": "Demography", | 5 | "category": "Demography", | ||
6 | "coverage": "France", | 6 | "coverage": "France", | ||
7 | "creator_user_id": "e2185bb8-8a2a-457e-a273-2e757a7866d8", | 7 | "creator_user_id": "e2185bb8-8a2a-457e-a273-2e757a7866d8", | ||
8 | "crs": "No coordinate system", | 8 | "crs": "No coordinate system", | ||
9 | "data_source": "https://www.experian.com/", | 9 | "data_source": "https://www.experian.com/", | ||
10 | "dataset_dimension": "Dataset", | 10 | "dataset_dimension": "Dataset", | ||
11 | "date_validity": "2020-01-01", | 11 | "date_validity": "2020-01-01", | ||
12 | "dimension": | 12 | "dimension": | ||
13 | "https://secure.clevermaps.io/#/projectList/project/m68ooi7m0ncddrt1", | 13 | "https://secure.clevermaps.io/#/projectList/project/m68ooi7m0ncddrt1", | ||
14 | "for_sale": "For sale", | 14 | "for_sale": "For sale", | ||
15 | "geometry": "No geometry", | 15 | "geometry": "No geometry", | ||
16 | "groups": [], | 16 | "groups": [], | ||
17 | "id": "f9b33aa8-d683-4966-b9d1-d5d78805ba58", | 17 | "id": "f9b33aa8-d683-4966-b9d1-d5d78805ba58", | ||
18 | "isopen": true, | 18 | "isopen": true, | ||
19 | "license_id": "cc-zero", | 19 | "license_id": "cc-zero", | ||
20 | "license_title": "Creative Commons CCZero", | 20 | "license_title": "Creative Commons CCZero", | ||
21 | "license_url": "http://www.opendefinition.org/licenses/cc-zero", | 21 | "license_url": "http://www.opendefinition.org/licenses/cc-zero", | ||
22 | "lowest_granularity": "Not relevant", | 22 | "lowest_granularity": "Not relevant", | ||
23 | "maintainer": null, | 23 | "maintainer": null, | ||
24 | "maintainer_email": null, | 24 | "maintainer_email": null, | ||
25 | "metadata_created": "2023-03-01T13:32:25.405677", | 25 | "metadata_created": "2023-03-01T13:32:25.405677", | ||
n | 26 | "metadata_modified": "2023-03-01T13:32:25.405684", | n | 26 | "metadata_modified": "2023-11-07T00:31:26.275604", |
27 | "name": "population-with-age-and-gender-groups-france-experian", | 27 | "name": "population-with-age-and-gender-groups-france-experian", | ||
28 | "notes": "This dataset contains the population in France and divides | 28 | "notes": "This dataset contains the population in France and divides | ||
29 | the population into gender groups and five age groups (0-14, 15-29, | 29 | the population into gender groups and five age groups (0-14, 15-29, | ||
30 | 30-44, 45-59, 60+ years). Based on availability in France, you can | 30 | 30-44, 45-59, 60+ years). Based on availability in France, you can | ||
31 | also purchase another datasets from Experian, such as disposable | 31 | also purchase another datasets from Experian, such as disposable | ||
32 | income of customers, consumer expenditures or division into Consumer | 32 | income of customers, consumer expenditures or division into Consumer | ||
33 | segments.", | 33 | segments.", | ||
34 | "num_resources": 1, | 34 | "num_resources": 1, | ||
35 | "num_tags": 6, | 35 | "num_tags": 6, | ||
36 | "organization": { | 36 | "organization": { | ||
37 | "approval_status": "approved", | 37 | "approval_status": "approved", | ||
38 | "created": "2023-01-29T16:55:25.554449", | 38 | "created": "2023-01-29T16:55:25.554449", | ||
39 | "description": "Experian unlocks the power of data to create | 39 | "description": "Experian unlocks the power of data to create | ||
40 | opportunities for consumers, businesses and society. At life\u2019s | 40 | opportunities for consumers, businesses and society. At life\u2019s | ||
41 | big moments \u2013 from buying a home or car, to sending a child to | 41 | big moments \u2013 from buying a home or car, to sending a child to | ||
42 | college, to growing a business exponentially by connecting it with new | 42 | college, to growing a business exponentially by connecting it with new | ||
43 | customers \u2013 they empower consumers and their clients to manage | 43 | customers \u2013 they empower consumers and their clients to manage | ||
44 | their data with confidence so they can maximize every opportunity.", | 44 | their data with confidence so they can maximize every opportunity.", | ||
45 | "id": "0cad4567-7e0f-4a26-87a6-ed07af9046a1", | 45 | "id": "0cad4567-7e0f-4a26-87a6-ed07af9046a1", | ||
46 | "image_url": | 46 | "image_url": | ||
47 | ia/commons/thumb/3/31/Experian_logo.svg/1200px-Experian_logo.svg.png", | 47 | ia/commons/thumb/3/31/Experian_logo.svg/1200px-Experian_logo.svg.png", | ||
48 | "is_organization": true, | 48 | "is_organization": true, | ||
49 | "name": "experian", | 49 | "name": "experian", | ||
50 | "state": "active", | 50 | "state": "active", | ||
51 | "title": "Experian", | 51 | "title": "Experian", | ||
52 | "type": "organization" | 52 | "type": "organization" | ||
53 | }, | 53 | }, | ||
54 | "owner_org": "0cad4567-7e0f-4a26-87a6-ed07af9046a1", | 54 | "owner_org": "0cad4567-7e0f-4a26-87a6-ed07af9046a1", | ||
n | 55 | "price_dataset_one_time": "See price notes", | n | ||
56 | "price_notes": "The price varies based on what\u2019s available for | 55 | "price_notes": "The price varies based on what\u2019s available for | ||
57 | given country. Please | 56 | given country. Please | ||
58 | drive.google.com/drive/u/0/folders/1yqQ53nbjAFdE-UlD9stjbWGpe_bamtQh", | 57 | drive.google.com/drive/u/0/folders/1yqQ53nbjAFdE-UlD9stjbWGpe_bamtQh", | ||
59 | "private": false, | 58 | "private": false, | ||
60 | "relationships_as_object": [], | 59 | "relationships_as_object": [], | ||
61 | "relationships_as_subject": [], | 60 | "relationships_as_subject": [], | ||
62 | "resources": [ | 61 | "resources": [ | ||
63 | { | 62 | { | ||
64 | "cache_last_updated": null, | 63 | "cache_last_updated": null, | ||
65 | "cache_url": null, | 64 | "cache_url": null, | ||
66 | "ckan_url": "https://datacatalog.ps.cleveranalytics.com", | 65 | "ckan_url": "https://datacatalog.ps.cleveranalytics.com", | ||
67 | "created": "2022-07-01T14:45:55.689747", | 66 | "created": "2022-07-01T14:45:55.689747", | ||
68 | "datastore_active": true, | 67 | "datastore_active": true, | ||
69 | "datastore_contains_all_records_of_source_file": true, | 68 | "datastore_contains_all_records_of_source_file": true, | ||
70 | "description": "Data sample", | 69 | "description": "Data sample", | ||
71 | "format": "CSV", | 70 | "format": "CSV", | ||
72 | "hash": "9409bd99be79fdbe8b10d8761685d3f5", | 71 | "hash": "9409bd99be79fdbe8b10d8761685d3f5", | ||
73 | "id": "65ac3cef-fe16-4aef-8640-84ed4f2602f2", | 72 | "id": "65ac3cef-fe16-4aef-8640-84ed4f2602f2", | ||
74 | "ignore_hash": true, | 73 | "ignore_hash": true, | ||
75 | "last_modified": null, | 74 | "last_modified": null, | ||
76 | "map": | 75 | "map": | ||
77 | ap/demography_view?token=he2w0Y3gnLF1hFKufYiw1xqUv7ZKNvidPFaMOwyr2e0", | 76 | ap/demography_view?token=he2w0Y3gnLF1hFKufYiw1xqUv7ZKNvidPFaMOwyr2e0", | ||
t | 78 | "metadata_modified": "2023-03-01T13:32:25.395743", | t | 77 | "metadata_modified": "2023-11-07T00:31:26.279300", |
79 | "mimetype": null, | 78 | "mimetype": null, | ||
80 | "mimetype_inner": null, | 79 | "mimetype_inner": null, | ||
81 | "name": "Population", | 80 | "name": "Population", | ||
82 | "original_url": | 81 | "original_url": | ||
83 | //localhost/s3/data_partners/experian/experian_sample_demography.csv", | 82 | //localhost/s3/data_partners/experian/experian_sample_demography.csv", | ||
84 | "package_id": "f9b33aa8-d683-4966-b9d1-d5d78805ba58", | 83 | "package_id": "f9b33aa8-d683-4966-b9d1-d5d78805ba58", | ||
85 | "position": 0, | 84 | "position": 0, | ||
86 | "resource_id": "65ac3cef-fe16-4aef-8640-84ed4f2602f2", | 85 | "resource_id": "65ac3cef-fe16-4aef-8640-84ed4f2602f2", | ||
87 | "resource_type": null, | 86 | "resource_type": null, | ||
88 | "s3link": | 87 | "s3link": | ||
89 | s-data-catalog/data_partners/experian/experian_sample_demography.csv", | 88 | s-data-catalog/data_partners/experian/experian_sample_demography.csv", | ||
90 | "set_url_type": false, | 89 | "set_url_type": false, | ||
91 | "size": null, | 90 | "size": null, | ||
92 | "state": "active", | 91 | "state": "active", | ||
93 | "task_created": "2022-11-07 14:12:52.345071", | 92 | "task_created": "2022-11-07 14:12:52.345071", | ||
94 | "url": | 93 | "url": | ||
95 | //localhost/s3/data_partners/experian/experian_sample_demography.csv", | 94 | //localhost/s3/data_partners/experian/experian_sample_demography.csv", | ||
96 | "url_type": null | 95 | "url_type": null | ||
97 | } | 96 | } | ||
98 | ], | 97 | ], | ||
99 | "state": "active", | 98 | "state": "active", | ||
100 | "tags": [ | 99 | "tags": [ | ||
101 | { | 100 | { | ||
102 | "display_name": "Experian", | 101 | "display_name": "Experian", | ||
103 | "id": "4936cc0d-2fa5-4f37-bdaf-89fe6a5877cf", | 102 | "id": "4936cc0d-2fa5-4f37-bdaf-89fe6a5877cf", | ||
104 | "name": "Experian", | 103 | "name": "Experian", | ||
105 | "state": "active", | 104 | "state": "active", | ||
106 | "vocabulary_id": null | 105 | "vocabulary_id": null | ||
107 | }, | 106 | }, | ||
108 | { | 107 | { | ||
109 | "display_name": "France", | 108 | "display_name": "France", | ||
110 | "id": "ff441ab8-e40e-4be8-bb8d-aaad0d6ecafc", | 109 | "id": "ff441ab8-e40e-4be8-bb8d-aaad0d6ecafc", | ||
111 | "name": "France", | 110 | "name": "France", | ||
112 | "state": "active", | 111 | "state": "active", | ||
113 | "vocabulary_id": null | 112 | "vocabulary_id": null | ||
114 | }, | 113 | }, | ||
115 | { | 114 | { | ||
116 | "display_name": "data partner", | 115 | "display_name": "data partner", | ||
117 | "id": "3b3002bc-553c-40e3-b0ec-4634929b3ede", | 116 | "id": "3b3002bc-553c-40e3-b0ec-4634929b3ede", | ||
118 | "name": "data partner", | 117 | "name": "data partner", | ||
119 | "state": "active", | 118 | "state": "active", | ||
120 | "vocabulary_id": null | 119 | "vocabulary_id": null | ||
121 | }, | 120 | }, | ||
122 | { | 121 | { | ||
123 | "display_name": "demography", | 122 | "display_name": "demography", | ||
124 | "id": "f3651aa8-b89f-4a21-8ed9-268e503964be", | 123 | "id": "f3651aa8-b89f-4a21-8ed9-268e503964be", | ||
125 | "name": "demography", | 124 | "name": "demography", | ||
126 | "state": "active", | 125 | "state": "active", | ||
127 | "vocabulary_id": null | 126 | "vocabulary_id": null | ||
128 | }, | 127 | }, | ||
129 | { | 128 | { | ||
130 | "display_name": "people", | 129 | "display_name": "people", | ||
131 | "id": "0f33b0d8-5f3e-4e45-b299-81b32d0958c9", | 130 | "id": "0f33b0d8-5f3e-4e45-b299-81b32d0958c9", | ||
132 | "name": "people", | 131 | "name": "people", | ||
133 | "state": "active", | 132 | "state": "active", | ||
134 | "vocabulary_id": null | 133 | "vocabulary_id": null | ||
135 | }, | 134 | }, | ||
136 | { | 135 | { | ||
137 | "display_name": "population", | 136 | "display_name": "population", | ||
138 | "id": "c872b462-f04f-4960-a8ec-49952347c7e3", | 137 | "id": "c872b462-f04f-4960-a8ec-49952347c7e3", | ||
139 | "name": "population", | 138 | "name": "population", | ||
140 | "state": "active", | 139 | "state": "active", | ||
141 | "vocabulary_id": null | 140 | "vocabulary_id": null | ||
142 | } | 141 | } | ||
143 | ], | 142 | ], | ||
144 | "title": "Population with age and gender groups - France | 143 | "title": "Population with age and gender groups - France | ||
145 | (Experian)", | 144 | (Experian)", | ||
146 | "type": "dataset", | 145 | "type": "dataset", | ||
147 | "url": null, | 146 | "url": null, | ||
148 | "use_cases": | 147 | "use_cases": | ||
149 | .io/opportunity-prediction,https://www.clevermaps.io/site-evaluation", | 148 | .io/opportunity-prediction,https://www.clevermaps.io/site-evaluation", | ||
150 | "use_cases_description": "Location data visualized in our platform | 149 | "use_cases_description": "Location data visualized in our platform | ||
151 | will help you to analyze the market penetration and you will be able | 150 | will help you to analyze the market penetration and you will be able | ||
152 | to locate places with previously undiscovered | 151 | to locate places with previously undiscovered | ||
153 | potential.,Detect\u00a0areas with the most competitive pressure and | 152 | potential.,Detect\u00a0areas with the most competitive pressure and | ||
154 | identify the line between too many competitors and a beneficial number | 153 | identify the line between too many competitors and a beneficial number | ||
155 | of competitors to avoid useless costs.,How much revenue can you expect | 154 | of competitors to avoid useless costs.,How much revenue can you expect | ||
156 | at your new site or what will happen when you close one? Understand | 155 | at your new site or what will happen when you close one? Understand | ||
157 | how your\u00a0decisions will impact your overall business | 156 | how your\u00a0decisions will impact your overall business | ||
158 | performance.,Evaluate\u00a0the retail potential of any address and | 157 | performance.,Evaluate\u00a0the retail potential of any address and | ||
159 | measure its attractiveness within its natural catchment | 158 | measure its attractiveness within its natural catchment | ||
160 | area.\u00a0Choosing the right place for you business has never been | 159 | area.\u00a0Choosing the right place for you business has never been | ||
161 | easier.", | 160 | easier.", | ||
162 | "version": null, | 161 | "version": null, | ||
163 | "visualization": "Polygon,Grid" | 162 | "visualization": "Polygon,Grid" | ||
164 | } | 163 | } |