Changes
On November 4, 2023 at 12:18:27 AM UTC, CleverMaps Data Catalog:
-
Changed value of field
price_notes
toFor more information, please see: https://docs.google.com/presentation/d/1iVp6n9xhleeX2B7t-F3PBmt8GHvBY-XCz_ka41mVZ7A/edit#slide=id.g295a0521c80_0_0
in Administrative division of Federal states (Bundeslaender) in Austria -
Removed the following fields from Administrative division of Federal states (Bundeslaender) in Austria
-
price_dataset_per_year
-
price_dataset_with_licence
-
f | 1 | { | f | 1 | { |
2 | "author": "Kate\u0159ina Tom\u00e1\u0161kov\u00e1", | 2 | "author": "Kate\u0159ina Tom\u00e1\u0161kov\u00e1", | ||
3 | "author_email": "katerina.tomaskova@clevermaps.io", | 3 | "author_email": "katerina.tomaskova@clevermaps.io", | ||
4 | "availability": "Available", | 4 | "availability": "Available", | ||
5 | "category": "Administrative Units", | 5 | "category": "Administrative Units", | ||
6 | "coverage": "Austria", | 6 | "coverage": "Austria", | ||
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://data.statistik.gv.at/web/", | 9 | "data_source": "https://data.statistik.gv.at/web/", | ||
10 | "dataset_dimension": "Dataset", | 10 | "dataset_dimension": "Dataset", | ||
11 | "date_validity": "2018-01-01", | 11 | "date_validity": "2018-01-01", | ||
12 | "dimension": | 12 | "dimension": | ||
13 | "https://secure.clevermaps.io/#/projectList/project/t5ocpt6krb5jbh0h", | 13 | "https://secure.clevermaps.io/#/projectList/project/t5ocpt6krb5jbh0h", | ||
n | 14 | "extras": [ | n | ||
15 | { | ||||
16 | "key": "price_dataset_per_year", | ||||
17 | "value": "0" | ||||
18 | }, | ||||
19 | { | ||||
20 | "key": "price_dataset_with_licence", | ||||
21 | "value": "0" | ||||
22 | } | ||||
23 | ], | ||||
24 | "for_sale": "For sale", | 14 | "for_sale": "For sale", | ||
25 | "geometry": "Polygon", | 15 | "geometry": "Polygon", | ||
26 | "groups": [], | 16 | "groups": [], | ||
27 | "id": "2c1c179e-747f-4c1e-9966-cd1e1e6b6632", | 17 | "id": "2c1c179e-747f-4c1e-9966-cd1e1e6b6632", | ||
28 | "isopen": false, | 18 | "isopen": false, | ||
29 | "license_id": null, | 19 | "license_id": null, | ||
30 | "license_title": null, | 20 | "license_title": null, | ||
31 | "lowest_granularity": "Region", | 21 | "lowest_granularity": "Region", | ||
32 | "maintainer": null, | 22 | "maintainer": null, | ||
33 | "maintainer_email": null, | 23 | "maintainer_email": null, | ||
34 | "metadata_created": "2023-03-01T13:25:14.771815", | 24 | "metadata_created": "2023-03-01T13:25:14.771815", | ||
n | 35 | "metadata_modified": "2023-03-30T13:26:16.204133", | n | 25 | "metadata_modified": "2023-11-04T00:18:27.835886", |
36 | "name": | 26 | "name": | ||
37 | "administrative-division-of-federal-states-bundeslaender-in-austria", | 27 | "administrative-division-of-federal-states-bundeslaender-in-austria", | ||
38 | "notes": "This dataset contains the federal states in Austria. The | 28 | "notes": "This dataset contains the federal states in Austria. The | ||
39 | data was collected from the official website of the Austrian open data | 29 | data was collected from the official website of the Austrian open data | ||
40 | portal data.statistik.gv.at. There are approx. 9 federal states in | 30 | portal data.statistik.gv.at. There are approx. 9 federal states in | ||
41 | Austria and it is the highest granularity available. You can connect | 31 | Austria and it is the highest granularity available. You can connect | ||
42 | this administrative unit to any other unit that CleverMaps offers in | 32 | this administrative unit to any other unit that CleverMaps offers in | ||
43 | Austria or use it on its own.", | 33 | Austria or use it on its own.", | ||
44 | "num_resources": 2, | 34 | "num_resources": 2, | ||
45 | "num_tags": 5, | 35 | "num_tags": 5, | ||
46 | "organization": { | 36 | "organization": { | ||
47 | "approval_status": "approved", | 37 | "approval_status": "approved", | ||
48 | "created": "2023-01-29T16:55:23.140682", | 38 | "created": "2023-01-29T16:55:23.140682", | ||
49 | "description": "CleverMaps is a location based intelligence | 39 | "description": "CleverMaps is a location based intelligence | ||
50 | platform and owner of this Data Catalog", | 40 | platform and owner of this Data Catalog", | ||
51 | "id": "f3abd346-452b-45ea-8d4b-f3ad739af202", | 41 | "id": "f3abd346-452b-45ea-8d4b-f3ad739af202", | ||
52 | "image_url": | 42 | "image_url": | ||
53 | "https://www.clevermaps.io/files/09-logo-clevermaps-svg.svg", | 43 | "https://www.clevermaps.io/files/09-logo-clevermaps-svg.svg", | ||
54 | "is_organization": true, | 44 | "is_organization": true, | ||
55 | "name": "clevermaps", | 45 | "name": "clevermaps", | ||
56 | "state": "active", | 46 | "state": "active", | ||
57 | "title": "CleverMaps", | 47 | "title": "CleverMaps", | ||
58 | "type": "organization" | 48 | "type": "organization" | ||
59 | }, | 49 | }, | ||
60 | "owner_org": "f3abd346-452b-45ea-8d4b-f3ad739af202", | 50 | "owner_org": "f3abd346-452b-45ea-8d4b-f3ad739af202", | ||
n | 61 | "price_dataset_one_time": "0", | n | 51 | "price_notes": "For more information, please see: |
62 | "price_notes": "", | 52 | xhleeX2B7t-F3PBmt8GHvBY-XCz_ka41mVZ7A/edit#slide=id.g295a0521c80_0_0", | ||
63 | "private": false, | 53 | "private": false, | ||
64 | "relationships_as_object": [], | 54 | "relationships_as_object": [], | ||
65 | "relationships_as_subject": [], | 55 | "relationships_as_subject": [], | ||
66 | "resources": [ | 56 | "resources": [ | ||
67 | { | 57 | { | ||
68 | "cache_last_updated": null, | 58 | "cache_last_updated": null, | ||
69 | "cache_url": null, | 59 | "cache_url": null, | ||
70 | "ckan_url": "https://datacatalog.ps.cleveranalytics.com", | 60 | "ckan_url": "https://datacatalog.ps.cleveranalytics.com", | ||
71 | "created": "2021-06-22T07:45:06.563736", | 61 | "created": "2021-06-22T07:45:06.563736", | ||
72 | "datastore_active": true, | 62 | "datastore_active": true, | ||
73 | "datastore_contains_all_records_of_source_file": true, | 63 | "datastore_contains_all_records_of_source_file": true, | ||
74 | "description": "Data table", | 64 | "description": "Data table", | ||
75 | "format": "CSV", | 65 | "format": "CSV", | ||
76 | "hash": "d328d91f786f06b095aca7070dd08077", | 66 | "hash": "d328d91f786f06b095aca7070dd08077", | ||
77 | "id": "fde12bfb-c90a-48c6-b830-bb8e4d11b376", | 67 | "id": "fde12bfb-c90a-48c6-b830-bb8e4d11b376", | ||
78 | "ignore_hash": true, | 68 | "ignore_hash": true, | ||
79 | "last_modified": null, | 69 | "last_modified": null, | ||
80 | "map": | 70 | "map": | ||
81 | m/map/regions_view?token=he2w0Y3gnLF1hFKufYiw1xqUv7ZKNvidPFaMOwyr2e0", | 71 | m/map/regions_view?token=he2w0Y3gnLF1hFKufYiw1xqUv7ZKNvidPFaMOwyr2e0", | ||
n | 82 | "metadata_modified": "2023-03-30T13:26:16.208071", | n | 72 | "metadata_modified": "2023-11-04T00:18:27.839575", |
83 | "mimetype": null, | 73 | "mimetype": null, | ||
84 | "mimetype_inner": null, | 74 | "mimetype_inner": null, | ||
85 | "name": "Federal states (Bundesl\u00e4nder)", | 75 | "name": "Federal states (Bundesl\u00e4nder)", | ||
86 | "original_url": | 76 | "original_url": | ||
87 | alhost/s3/demography/can-dim-demography-aut/at_bundeslaender_dwh.csv", | 77 | alhost/s3/demography/can-dim-demography-aut/at_bundeslaender_dwh.csv", | ||
88 | "package_id": "2c1c179e-747f-4c1e-9966-cd1e1e6b6632", | 78 | "package_id": "2c1c179e-747f-4c1e-9966-cd1e1e6b6632", | ||
89 | "position": 0, | 79 | "position": 0, | ||
90 | "resource_id": "fde12bfb-c90a-48c6-b830-bb8e4d11b376", | 80 | "resource_id": "fde12bfb-c90a-48c6-b830-bb8e4d11b376", | ||
91 | "resource_type": null, | 81 | "resource_type": null, | ||
92 | "s3link": | 82 | "s3link": | ||
93 | a-catalog/demography/can-dim-demography-aut/at_bundeslaender_dwh.csv", | 83 | a-catalog/demography/can-dim-demography-aut/at_bundeslaender_dwh.csv", | ||
94 | "set_url_type": false, | 84 | "set_url_type": false, | ||
95 | "size": null, | 85 | "size": null, | ||
96 | "state": "active", | 86 | "state": "active", | ||
97 | "task_created": "2023-03-16 10:56:02.066463", | 87 | "task_created": "2023-03-16 10:56:02.066463", | ||
98 | "url": | 88 | "url": | ||
99 | alhost/s3/demography/can-dim-demography-aut/at_bundeslaender_dwh.csv", | 89 | alhost/s3/demography/can-dim-demography-aut/at_bundeslaender_dwh.csv", | ||
100 | "url_type": null | 90 | "url_type": null | ||
101 | }, | 91 | }, | ||
102 | { | 92 | { | ||
103 | "cache_last_updated": null, | 93 | "cache_last_updated": null, | ||
104 | "cache_url": null, | 94 | "cache_url": null, | ||
105 | "created": "2021-10-01T08:19:34.286864", | 95 | "created": "2021-10-01T08:19:34.286864", | ||
106 | "datastore_active": true, | 96 | "datastore_active": true, | ||
107 | "datastore_contains_all_records_of_source_file": false, | 97 | "datastore_contains_all_records_of_source_file": false, | ||
108 | "description": "Geometry table", | 98 | "description": "Geometry table", | ||
109 | "format": "CSV", | 99 | "format": "CSV", | ||
110 | "hash": "", | 100 | "hash": "", | ||
111 | "id": "872ff71a-20e1-4206-a62d-912b52e88a6e", | 101 | "id": "872ff71a-20e1-4206-a62d-912b52e88a6e", | ||
112 | "last_modified": null, | 102 | "last_modified": null, | ||
113 | "map": | 103 | "map": | ||
114 | m/map/regions_view?token=he2w0Y3gnLF1hFKufYiw1xqUv7ZKNvidPFaMOwyr2e0", | 104 | m/map/regions_view?token=he2w0Y3gnLF1hFKufYiw1xqUv7ZKNvidPFaMOwyr2e0", | ||
t | 115 | "metadata_modified": "2023-03-30T13:26:16.208228", | t | 105 | "metadata_modified": "2023-11-04T00:18:27.839737", |
116 | "mimetype": "text/csv", | 106 | "mimetype": "text/csv", | ||
117 | "mimetype_inner": null, | 107 | "mimetype_inner": null, | ||
118 | "name": "Federal states (Bundesl\u00e4nder)", | 108 | "name": "Federal states (Bundesl\u00e4nder)", | ||
119 | "package_id": "2c1c179e-747f-4c1e-9966-cd1e1e6b6632", | 109 | "package_id": "2c1c179e-747f-4c1e-9966-cd1e1e6b6632", | ||
120 | "position": 1, | 110 | "position": 1, | ||
121 | "resource_type": null, | 111 | "resource_type": null, | ||
122 | "s3link": | 112 | "s3link": | ||
123 | rative_units/can-dim-adm-units-aut/geometry/at_bundeslaender_wkt.csv", | 113 | rative_units/can-dim-adm-units-aut/geometry/at_bundeslaender_wkt.csv", | ||
124 | "size": null, | 114 | "size": null, | ||
125 | "state": "active", | 115 | "state": "active", | ||
126 | "url": | 116 | "url": | ||
127 | rative_units/can-dim-adm-units-aut/geometry/at_bundeslaender_wkt.csv", | 117 | rative_units/can-dim-adm-units-aut/geometry/at_bundeslaender_wkt.csv", | ||
128 | "url_type": null | 118 | "url_type": null | ||
129 | } | 119 | } | ||
130 | ], | 120 | ], | ||
131 | "state": "active", | 121 | "state": "active", | ||
132 | "tags": [ | 122 | "tags": [ | ||
133 | { | 123 | { | ||
134 | "display_name": "Administrative units", | 124 | "display_name": "Administrative units", | ||
135 | "id": "acaaf353-deae-4f2e-8cae-d22a420c1ce8", | 125 | "id": "acaaf353-deae-4f2e-8cae-d22a420c1ce8", | ||
136 | "name": "Administrative units", | 126 | "name": "Administrative units", | ||
137 | "state": "active", | 127 | "state": "active", | ||
138 | "vocabulary_id": null | 128 | "vocabulary_id": null | ||
139 | }, | 129 | }, | ||
140 | { | 130 | { | ||
141 | "display_name": "Austria", | 131 | "display_name": "Austria", | ||
142 | "id": "69e3a850-d622-4a32-8470-ffe9934323fa", | 132 | "id": "69e3a850-d622-4a32-8470-ffe9934323fa", | ||
143 | "name": "Austria", | 133 | "name": "Austria", | ||
144 | "state": "active", | 134 | "state": "active", | ||
145 | "vocabulary_id": null | 135 | "vocabulary_id": null | ||
146 | }, | 136 | }, | ||
147 | { | 137 | { | ||
148 | "display_name": "Europe", | 138 | "display_name": "Europe", | ||
149 | "id": "81e2ba00-0439-4140-9811-39eaaf19213a", | 139 | "id": "81e2ba00-0439-4140-9811-39eaaf19213a", | ||
150 | "name": "Europe", | 140 | "name": "Europe", | ||
151 | "state": "active", | 141 | "state": "active", | ||
152 | "vocabulary_id": null | 142 | "vocabulary_id": null | ||
153 | }, | 143 | }, | ||
154 | { | 144 | { | ||
155 | "display_name": "t5ocpt6krb5jbh0h", | 145 | "display_name": "t5ocpt6krb5jbh0h", | ||
156 | "id": "41fd0333-ab78-4204-bbfb-4f5b719eee47", | 146 | "id": "41fd0333-ab78-4204-bbfb-4f5b719eee47", | ||
157 | "name": "t5ocpt6krb5jbh0h", | 147 | "name": "t5ocpt6krb5jbh0h", | ||
158 | "state": "active", | 148 | "state": "active", | ||
159 | "vocabulary_id": null | 149 | "vocabulary_id": null | ||
160 | }, | 150 | }, | ||
161 | { | 151 | { | ||
162 | "display_name": "units", | 152 | "display_name": "units", | ||
163 | "id": "bb173e03-ce55-4462-a58a-bb0e36bd727c", | 153 | "id": "bb173e03-ce55-4462-a58a-bb0e36bd727c", | ||
164 | "name": "units", | 154 | "name": "units", | ||
165 | "state": "active", | 155 | "state": "active", | ||
166 | "vocabulary_id": null | 156 | "vocabulary_id": null | ||
167 | } | 157 | } | ||
168 | ], | 158 | ], | ||
169 | "title": "Administrative division of Federal states (Bundeslaender) | 159 | "title": "Administrative division of Federal states (Bundeslaender) | ||
170 | in Austria", | 160 | in Austria", | ||
171 | "type": "dataset", | 161 | "type": "dataset", | ||
172 | "url": null, | 162 | "url": null, | ||
173 | "use_cases": | 163 | "use_cases": | ||
174 | -potential-and-share-657,https://www.clevermaps.io/market-saturation", | 164 | -potential-and-share-657,https://www.clevermaps.io/market-saturation", | ||
175 | "use_cases_description": "Finding out the real catchment areas of | 165 | "use_cases_description": "Finding out the real catchment areas of | ||
176 | your branches and comparing them with driving or walking catchment | 166 | your branches and comparing them with driving or walking catchment | ||
177 | areas can help you optimizing the locations of your branches.,Location | 167 | areas can help you optimizing the locations of your branches.,Location | ||
178 | data visualized in our platform will help you to analyze the market | 168 | data visualized in our platform will help you to analyze the market | ||
179 | penetration and you will be able to locate places with previously | 169 | penetration and you will be able to locate places with previously | ||
180 | undiscovered potential.,Find the locations with high and low market | 170 | undiscovered potential.,Find the locations with high and low market | ||
181 | penetration. Place your new branch smart with the help of data about | 171 | penetration. Place your new branch smart with the help of data about | ||
182 | population, other points of interest or human mobility.,Analyze your | 172 | population, other points of interest or human mobility.,Analyze your | ||
183 | current market share on a spatial level to focus your expansion | 173 | current market share on a spatial level to focus your expansion | ||
184 | efforts on the areas with a potential customer base and a beneficial | 174 | efforts on the areas with a potential customer base and a beneficial | ||
185 | number of competitors.,Detect\u00a0areas with the most competitive | 175 | number of competitors.,Detect\u00a0areas with the most competitive | ||
186 | pressure and identify the line between too many competitors and a | 176 | pressure and identify the line between too many competitors and a | ||
187 | beneficial number of competitors to avoid useless costs.", | 177 | beneficial number of competitors to avoid useless costs.", | ||
188 | "version": null, | 178 | "version": null, | ||
189 | "visualization": "Polygon" | 179 | "visualization": "Polygon" | ||
190 | } | 180 | } |