Changes

              
    

          
          
        
        

            
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": "Points of Interest",
5
  "category": "Points of Interest",
            
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://www.sharpgrid.com/",
9
  "data_source": "https://www.sharpgrid.com/",
            
10
  "dataset_dimension": "Dataset",
10
  "dataset_dimension": "Dataset",
            
11
  "date_validity": "2023-07-01",
11
  "date_validity": "2023-07-01",
            
12
  "dimension": "Undimensioned",
12
  "dimension": "Undimensioned",
            
13
  "for_sale": "For sale",
13
  "for_sale": "For sale",
            
14
  "geometry": "Point",
14
  "geometry": "Point",
            
15
  "groups": [],
15
  "groups": [],
            
16
  "id": "a03ff667-f8b5-4e71-bbcd-c70b08395efa",
16
  "id": "a03ff667-f8b5-4e71-bbcd-c70b08395efa",
            
n
17
  "isopen": true,
n
17
  "isopen": false,
            
18
  "license_id": "cc-zero",
18
  "license_id": null,
            
19
  "license_title": "Creative Commons CCZero",
19
  "license_title": null,
            
20
  "license_url": "http://www.opendefinition.org/licenses/cc-zero",

            
21
  "lowest_granularity": "Not relevant",
20
  "lowest_granularity": "Not relevant",
            
22
  "maintainer": null,
21
  "maintainer": null,
            
23
  "maintainer_email": null,
22
  "maintainer_email": null,
            
24
  "metadata_created": "2023-08-19T00:20:24.349067",
23
  "metadata_created": "2023-08-19T00:20:24.349067",
            
n
25
  "metadata_modified": "2023-08-19T00:20:24.349075",
n
24
  "metadata_modified": "2023-08-23T00:20:11.034184",
            
26
  "name": "sharpgrid-points_of_interest_-_austria_sharpgrid",
25
  "name": "sharpgrid-points_of_interest_-_austria_sharpgrid",
            
27
  "notes": "This dataset contains the points of interest in Austria. 
26
  "notes": "This dataset contains the points of interest in Austria. 
            
28
The provider of the data is Sharpgrid. The dataset contains various 
27
The provider of the data is Sharpgrid. The dataset contains various 
            
29
attributes, e.g. contact information, opening hours, the sortiment of 
28
attributes, e.g. contact information, opening hours, the sortiment of 
            
30
each amenity or the information about consumer engagement rating and 
29
each amenity or the information about consumer engagement rating and 
            
31
consumer score of the place. It is offered with quarterly updates or 
30
consumer score of the place. It is offered with quarterly updates or 
            
32
as a one-time purchase.",
31
as a one-time purchase.",
            
33
  "num_resources": 1,
32
  "num_resources": 1,
            
34
  "num_tags": 5,
33
  "num_tags": 5,
            
35
  "organization": {
34
  "organization": {
            
36
    "approval_status": "approved",
35
    "approval_status": "approved",
            
37
    "created": "2023-08-19T00:15:55.784429",
36
    "created": "2023-08-19T00:15:55.784429",
            
38
    "description": "Sharpgrid is a company which offers sorted and 
37
    "description": "Sharpgrid is a company which offers sorted and 
            
39
preprocessed data about outlets in the HoReCa segment in most of the 
38
preprocessed data about outlets in the HoReCa segment in most of the 
            
40
countries in Europe. The data contain valuable information about each 
39
countries in Europe. The data contain valuable information about each 
            
41
of the outlets, such as opening hours, type of food and beverages 
40
of the outlets, such as opening hours, type of food and beverages 
            
42
consumed, pricing level etc. It allows for a deep understanding of the 
41
consumed, pricing level etc. It allows for a deep understanding of the 
            
43
market in the given location and gives you a great tool to be able to 
42
market in the given location and gives you a great tool to be able to 
            
44
analyze market gaps and a customer potential. Take advantage of 
43
analyze market gaps and a customer potential. Take advantage of 
            
45
granular insights to design targeted, data-driven commercial 
44
granular insights to design targeted, data-driven commercial 
            
46
actions.",
45
actions.",
            
47
    "id": "19eba4b1-f021-4edd-a674-c9e31c7a50c8",
46
    "id": "19eba4b1-f021-4edd-a674-c9e31c7a50c8",
            
48
    "image_url": 
47
    "image_url": 
            
49
.com/624c242f060bd9591c2539f8/6421c3fbfad3f77f5babfb9a_pin_shape.svg",
48
.com/624c242f060bd9591c2539f8/6421c3fbfad3f77f5babfb9a_pin_shape.svg",
            
50
    "is_organization": true,
49
    "is_organization": true,
            
51
    "name": "sharpgrid",
50
    "name": "sharpgrid",
            
52
    "state": "active",
51
    "state": "active",
            
53
    "title": "SharpGrid",
52
    "title": "SharpGrid",
            
54
    "type": "organization"
53
    "type": "organization"
            
55
  },
54
  },
            
56
  "owner_org": "19eba4b1-f021-4edd-a674-c9e31c7a50c8",
55
  "owner_org": "19eba4b1-f021-4edd-a674-c9e31c7a50c8",
            
57
  "price_dataset_one_time": "297500",
56
  "price_dataset_one_time": "297500",
            
58
  "price_notes": "Price for a one-time dataset purchase. Also 
57
  "price_notes": "Price for a one-time dataset purchase. Also 
            
59
available with quarterly updates for 357000 CZK and as a selection 
58
available with quarterly updates for 357000 CZK and as a selection 
            
n
60
from the dataset for 37250 CZK. for more information please look here: 
n
59
from the dataset for 37250 CZK. For more information please look here: 
            
61
readsheets/d/1cxruk-sueudevy6s6mx3gsn_zxnxfbafgb1ajxkmxj8/edit#gid=0",
60
readsheets/d/1cxruk-sueudevy6s6mx3gsn_zxnxfbafgb1ajxkmxj8/edit#gid=0",
            
62
  "private": false,
61
  "private": false,
            
63
  "relationships_as_object": [],
62
  "relationships_as_object": [],
            
64
  "relationships_as_subject": [],
63
  "relationships_as_subject": [],
            
65
  "resources": [
64
  "resources": [
            
66
    {
65
    {
            
67
      "cache_last_updated": null,
66
      "cache_last_updated": null,
            
68
      "cache_url": null,
67
      "cache_url": null,
            
69
      "ckan_url": "https://datacatalog.ps.cleveranalytics.com",
68
      "ckan_url": "https://datacatalog.ps.cleveranalytics.com",
            
70
      "created": "2023-08-18T06:50:20.783254",
69
      "created": "2023-08-18T06:50:20.783254",
            
71
      "datastore_active": true,
70
      "datastore_active": true,
            
72
      "datastore_contains_all_records_of_source_file": true,
71
      "datastore_contains_all_records_of_source_file": true,
            
73
      "description": "Data sample",
72
      "description": "Data sample",
            
74
      "format": "CSV",
73
      "format": "CSV",
            
n
75
      "hash": "",
n
74
      "hash": "091774b0682ae69a20ef7e8dae1241f1",
            
76
      "id": "117b5213-cc4e-4541-b4d2-c7259b48c14c",
75
      "id": "117b5213-cc4e-4541-b4d2-c7259b48c14c",
            
77
      "ignore_hash": true,
76
      "ignore_hash": true,
            
78
      "last_modified": null,
77
      "last_modified": null,
            
79
      "map": 
78
      "map": 
            
t
80
map/poi_basic_view&token=he2w0Y3gnLF1hFKufYiw1xqUv7ZKNvidPFaMOwyr2e0",
t
79
/poi_offering_view?token=he2w0Y3gnLF1hFKufYiw1xqUv7ZKNvidPFaMOwyr2e0",
            
81
      "metadata_modified": "2023-08-19T00:20:24.338711",
80
      "metadata_modified": "2023-08-23T00:20:11.037776",
            
82
      "mimetype": null,
81
      "mimetype": null,
            
83
      "mimetype_inner": null,
82
      "mimetype_inner": null,
            
84
      "name": "Points of Interest",
83
      "name": "Points of Interest",
            
85
      "original_url": 
84
      "original_url": 
            
86
localhost/s3/data_partners/sharpgrid/poi_sharpgrid_sample_tier_c.csv",
85
localhost/s3/data_partners/sharpgrid/poi_sharpgrid_sample_tier_c.csv",
            
87
      "package_id": "a03ff667-f8b5-4e71-bbcd-c70b08395efa",
86
      "package_id": "a03ff667-f8b5-4e71-bbcd-c70b08395efa",
            
88
      "position": 0,
87
      "position": 0,
            
89
      "resource_id": "117b5213-cc4e-4541-b4d2-c7259b48c14c",
88
      "resource_id": "117b5213-cc4e-4541-b4d2-c7259b48c14c",
            
90
      "resource_type": null,
89
      "resource_type": null,
            
91
      "s3link": 
90
      "s3link": 
            
92
data-catalog/data_partners/sharpgrid/poi_sharpgrid_sample_tier_c.csv",
91
data-catalog/data_partners/sharpgrid/poi_sharpgrid_sample_tier_c.csv",
            
93
      "set_url_type": false,
92
      "set_url_type": false,
            
94
      "size": null,
93
      "size": null,
            
95
      "state": "active",
94
      "state": "active",
            
96
      "task_created": "2023-08-18 07:04:54.505759",
95
      "task_created": "2023-08-18 07:04:54.505759",
            
97
      "url": 
96
      "url": 
            
98
localhost/s3/data_partners/sharpgrid/poi_sharpgrid_sample_tier_c.csv",
97
localhost/s3/data_partners/sharpgrid/poi_sharpgrid_sample_tier_c.csv",
            
99
      "url_type": null
98
      "url_type": null
            
100
    }
99
    }
            
101
  ],
100
  ],
            
102
  "state": "active",
101
  "state": "active",
            
103
  "tags": [
102
  "tags": [
            
104
    {
103
    {
            
105
      "display_name": "Austria",
104
      "display_name": "Austria",
            
106
      "id": "69e3a850-d622-4a32-8470-ffe9934323fa",
105
      "id": "69e3a850-d622-4a32-8470-ffe9934323fa",
            
107
      "name": "Austria",
106
      "name": "Austria",
            
108
      "state": "active",
107
      "state": "active",
            
109
      "vocabulary_id": null
108
      "vocabulary_id": null
            
110
    },
109
    },
            
111
    {
110
    {
            
112
      "display_name": "POI",
111
      "display_name": "POI",
            
113
      "id": "11f61381-f0b6-47e5-bf8f-2961374c8c18",
112
      "id": "11f61381-f0b6-47e5-bf8f-2961374c8c18",
            
114
      "name": "POI",
113
      "name": "POI",
            
115
      "state": "active",
114
      "state": "active",
            
116
      "vocabulary_id": null
115
      "vocabulary_id": null
            
117
    },
116
    },
            
118
    {
117
    {
            
119
      "display_name": "Sharpgrid",
118
      "display_name": "Sharpgrid",
            
120
      "id": "690f761d-c1ca-4cdb-804b-94481815f027",
119
      "id": "690f761d-c1ca-4cdb-804b-94481815f027",
            
121
      "name": "Sharpgrid",
120
      "name": "Sharpgrid",
            
122
      "state": "active",
121
      "state": "active",
            
123
      "vocabulary_id": null
122
      "vocabulary_id": null
            
124
    },
123
    },
            
125
    {
124
    {
            
126
      "display_name": "data partner",
125
      "display_name": "data partner",
            
127
      "id": "3b3002bc-553c-40e3-b0ec-4634929b3ede",
126
      "id": "3b3002bc-553c-40e3-b0ec-4634929b3ede",
            
128
      "name": "data partner",
127
      "name": "data partner",
            
129
      "state": "active",
128
      "state": "active",
            
130
      "vocabulary_id": null
129
      "vocabulary_id": null
            
131
    },
130
    },
            
132
    {
131
    {
            
133
      "display_name": "points of interest",
132
      "display_name": "points of interest",
            
134
      "id": "a95d8198-bc5d-4c73-b16b-d8e83e5b78f7",
133
      "id": "a95d8198-bc5d-4c73-b16b-d8e83e5b78f7",
            
135
      "name": "points of interest",
134
      "name": "points of interest",
            
136
      "state": "active",
135
      "state": "active",
            
137
      "vocabulary_id": null
136
      "vocabulary_id": null
            
138
    }
137
    }
            
139
  ],
138
  ],
            
140
  "title": "Points of Interest \u2013 Austria (Sharpgrid)",
139
  "title": "Points of Interest \u2013 Austria (Sharpgrid)",
            
141
  "type": "dataset",
140
  "type": "dataset",
            
142
  "url": null,
141
  "url": null,
            
143
  "use_cases": 
142
  "use_cases": 
            
144
aps.io/service-availability,https://www.clevermaps.io/site-selection",
143
aps.io/service-availability,https://www.clevermaps.io/site-selection",
            
145
  "use_cases_description": "Evaluate your current network and find the 
144
  "use_cases_description": "Evaluate your current network and find the 
            
146
locations with the best visibility, availability and performance based 
145
locations with the best visibility, availability and performance based 
            
147
on data about population, exposure or purchasing power.,Find the 
146
on data about population, exposure or purchasing power.,Find the 
            
148
locations with high and low market penetration. Place your new branch 
147
locations with high and low market penetration. Place your new branch 
            
149
smart with the help of data about population, other points of interest 
148
smart with the help of data about population, other points of interest 
            
150
or human mobility.,Detect\u00a0areas with the most competitive 
149
or human mobility.,Detect\u00a0areas with the most competitive 
            
151
pressure and identify the line between too many competitors and a 
150
pressure and identify the line between too many competitors and a 
            
152
beneficial number of competitors to avoid useless 
151
beneficial number of competitors to avoid useless 
            
153
costs.,Analyze\u00a0the availability of the specific type of service, 
152
costs.,Analyze\u00a0the availability of the specific type of service, 
            
154
e.g., cuisine in particular times and areas and use the spatial 
153
e.g., cuisine in particular times and areas and use the spatial 
            
155
insights to place your new business correctly.,Wondering where to 
154
insights to place your new business correctly.,Wondering where to 
            
156
place your next branch, when you already have all the important places 
155
place your next branch, when you already have all the important places 
            
157
in town covered? Find locations with undiscovered potential with 
156
in town covered? Find locations with undiscovered potential with 
            
158
location data.",
157
location data.",
            
159
  "version": null,
158
  "version": null,
            
160
  "visualization": "Dotmap,Heatmap,Polygon,Grid"
159
  "visualization": "Dotmap,Heatmap,Polygon,Grid"
            
161
}
160
}