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": "United Kingdom",
6
  "coverage": "United Kingdom",
            
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.datappeal.io/",
9
  "data_source": "https://www.datappeal.io/",
            
10
  "dataset_dimension": "Dataset",
10
  "dataset_dimension": "Dataset",
            
11
  "date_validity": "2023-07-01",
11
  "date_validity": "2023-07-01",
            
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  "dimension": "Undimensioned",
12
  "dimension": "Undimensioned",
            
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  "for_sale": "For sale",
13
  "for_sale": "For sale",
            
14
  "geometry": "Point",
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  "geometry": "Point",
            
15
  "groups": [],
15
  "groups": [],
            
16
  "id": "de30819a-e50d-4c2c-b1d1-1d31b89a7e57",
16
  "id": "de30819a-e50d-4c2c-b1d1-1d31b89a7e57",
            
17
  "isopen": true,
17
  "isopen": true,
            
18
  "license_id": "cc-zero",
18
  "license_id": "cc-zero",
            
19
  "license_title": "Creative Commons CCZero",
19
  "license_title": "Creative Commons CCZero",
            
20
  "license_url": "http://www.opendefinition.org/licenses/cc-zero",
20
  "license_url": "http://www.opendefinition.org/licenses/cc-zero",
            
21
  "lowest_granularity": "Not relevant",
21
  "lowest_granularity": "Not relevant",
            
22
  "maintainer": null,
22
  "maintainer": null,
            
23
  "maintainer_email": null,
23
  "maintainer_email": null,
            
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  "metadata_created": "2023-08-29T00:22:55.139801",
24
  "metadata_created": "2023-08-29T00:22:55.139801",
            
n
25
  "metadata_modified": "2023-08-29T00:22:55.139808",
n
25
  "metadata_modified": "2023-11-07T00:29:45.275161",
            
26
  "name": 
26
  "name": 
            
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"data-appeal-sentiment_trends_poi_-_united_kingdom_data_appeal",
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"data-appeal-sentiment_trends_poi_-_united_kingdom_data_appeal",
            
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  "notes": "This dataset contains the Sentiment trends of the points 
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  "notes": "This dataset contains the Sentiment trends of the points 
            
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of interest in United Kingdom. The provider of the data is Data 
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of interest in United Kingdom. The provider of the data is Data 
            
30
Appeal. Except for the basic information such as name, address, 
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Appeal. Except for the basic information such as name, address, 
            
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contacts or the current status of the amenity, the data also contain 
31
contacts or the current status of the amenity, the data also contain 
            
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the Sentiment trends, which gives you information about the customer 
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the Sentiment trends, which gives you information about the customer 
            
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satisfaction with the amenity, avg. reviews etc. Additional datasets 
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satisfaction with the amenity, avg. reviews etc. Additional datasets 
            
34
such as Popularity trends, Opening hours or Accomodation Prices are 
34
such as Popularity trends, Opening hours or Accomodation Prices are 
            
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also offered.",
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also offered.",
            
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  "num_resources": 1,
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  "num_resources": 1,
            
37
  "num_tags": 6,
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  "num_tags": 6,
            
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  "organization": {
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  "organization": {
            
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    "approval_status": "approved",
39
    "approval_status": "approved",
            
40
    "created": "2023-01-29T16:55:24.667767",
40
    "created": "2023-01-29T16:55:24.667767",
            
41
    "description": "Data Appeal\u2019s combination of geospatial data, 
41
    "description": "Data Appeal\u2019s combination of geospatial data, 
            
42
sentiment intelligence and market trends enhances the growth of 
42
sentiment intelligence and market trends enhances the growth of 
            
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organizations around the world. Data Appeal\u2019s AI-enabled 
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organizations around the world. Data Appeal\u2019s AI-enabled 
            
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solutions and key performance indicators help businesses across all 
44
solutions and key performance indicators help businesses across all 
            
45
sectors to monitor, analyze and profile the customer and traveler 
45
sectors to monitor, analyze and profile the customer and traveler 
            
46
experience of any territory and also to identify locations with the 
46
experience of any territory and also to identify locations with the 
            
47
highest investment potential around the world.",
47
highest investment potential around the world.",
            
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    "id": "2d07337b-8007-4530-a723-aac6a655d12d",
48
    "id": "2d07337b-8007-4530-a723-aac6a655d12d",
            
49
    "image_url": 
49
    "image_url": 
            
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ww.datappeal.io/wp-content/uploads/2019/10/Logo-DataAppeal-RGB-2.png",
50
ww.datappeal.io/wp-content/uploads/2019/10/Logo-DataAppeal-RGB-2.png",
            
51
    "is_organization": true,
51
    "is_organization": true,
            
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    "name": "data-appeal",
52
    "name": "data-appeal",
            
53
    "state": "active",
53
    "state": "active",
            
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    "title": "Data Appeal",
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    "title": "Data Appeal",
            
55
    "type": "organization"
55
    "type": "organization"
            
56
  },
56
  },
            
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  "owner_org": "2d07337b-8007-4530-a723-aac6a655d12d",
57
  "owner_org": "2d07337b-8007-4530-a723-aac6a655d12d",
            
n
58
  "price_dataset_one_time": "0",
n

            
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  "price_notes": "The price may vary based on the current POI count. 
58
  "price_notes": "The price may vary based on the current POI count. 
            
60
Please see: 
59
Please see: 
            
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ment/d/1zhv1j0WkJ97u5AjmF8HJ_1JM5bcG1SSEP5Lid2jj64g/edit?usp=sharing",
60
ment/d/1zhv1j0WkJ97u5AjmF8HJ_1JM5bcG1SSEP5Lid2jj64g/edit?usp=sharing",
            
62
  "private": false,
61
  "private": false,
            
63
  "relationships_as_object": [],
62
  "relationships_as_object": [],
            
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  "relationships_as_subject": [],
63
  "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",
            
70
      "created": "2023-08-28T19:22:28.792348",
69
      "created": "2023-08-28T19:22:28.792348",
            
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",
            
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      "format": "CSV",
73
      "format": "CSV",
            
n
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      "hash": "",
n
74
      "hash": "7c7fc967f825bf38bad03dae87ba14fd",
            
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      "id": "1d36d6dc-9208-4c43-90d7-0e10dc128618",
75
      "id": "1d36d6dc-9208-4c43-90d7-0e10dc128618",
            
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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": 
78
      "map": 
            
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buml/map/dots_view?token=he2w0Y3gnLF1hFKufYiw1xqUv7ZKNvidPFaMOwyr2e0",
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buml/map/dots_view?token=he2w0Y3gnLF1hFKufYiw1xqUv7ZKNvidPFaMOwyr2e0",
            
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      "metadata_modified": "2023-08-29T00:22:55.129088",
t
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      "metadata_modified": "2023-11-07T00:29:45.278788",
            
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      "mimetype": null,
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      "mimetype": null,
            
83
      "mimetype_inner": null,
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      "mimetype_inner": null,
            
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      "name": "Sentiment trends",
83
      "name": "Sentiment trends",
            
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      "original_url": 
84
      "original_url": 
            
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/s3/data_partners/data_appeal/data_appeal_sample_sentiment_trend.csv",
85
/s3/data_partners/data_appeal/data_appeal_sample_sentiment_trend.csv",
            
87
      "package_id": "de30819a-e50d-4c2c-b1d1-1d31b89a7e57",
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      "package_id": "de30819a-e50d-4c2c-b1d1-1d31b89a7e57",
            
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      "position": 0,
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      "position": 0,
            
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      "resource_id": "1d36d6dc-9208-4c43-90d7-0e10dc128618",
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      "resource_id": "1d36d6dc-9208-4c43-90d7-0e10dc128618",
            
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      "resource_type": null,
89
      "resource_type": null,
            
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      "s3link": 
90
      "s3link": 
            
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log/data_partners/data_appeal/data_appeal_sample_sentiment_trend.csv",
91
log/data_partners/data_appeal/data_appeal_sample_sentiment_trend.csv",
            
93
      "set_url_type": false,
92
      "set_url_type": false,
            
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      "size": null,
93
      "size": null,
            
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      "state": "active",
94
      "state": "active",
            
96
      "task_created": "2023-08-28 19:47:47.028418",
95
      "task_created": "2023-08-28 19:47:47.028418",
            
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      "url": 
96
      "url": 
            
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/s3/data_partners/data_appeal/data_appeal_sample_sentiment_trend.csv",
97
/s3/data_partners/data_appeal/data_appeal_sample_sentiment_trend.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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  ],
100
  ],
            
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  "state": "active",
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  "state": "active",
            
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  "tags": [
102
  "tags": [
            
104
    {
103
    {
            
105
      "display_name": "Data Appeal",
104
      "display_name": "Data Appeal",
            
106
      "id": "113fd309-7ead-4b69-8dba-5f4e287350be",
105
      "id": "113fd309-7ead-4b69-8dba-5f4e287350be",
            
107
      "name": "Data Appeal",
106
      "name": "Data Appeal",
            
108
      "state": "active",
107
      "state": "active",
            
109
      "vocabulary_id": null
108
      "vocabulary_id": null
            
110
    },
109
    },
            
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    {
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
            
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    },
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    },
            
118
    {
117
    {
            
119
      "display_name": "United Kingdom",
118
      "display_name": "United Kingdom",
            
120
      "id": "5b405e41-4b38-4902-b01a-9e29e466adfb",
119
      "id": "5b405e41-4b38-4902-b01a-9e29e466adfb",
            
121
      "name": "United Kingdom",
120
      "name": "United Kingdom",
            
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
    },
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    },
            
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    {
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
      "display_name": "sentiment",
139
      "display_name": "sentiment",
            
141
      "id": "d23f49ae-4820-4528-95b9-3fa65fcae5c0",
140
      "id": "d23f49ae-4820-4528-95b9-3fa65fcae5c0",
            
142
      "name": "sentiment",
141
      "name": "sentiment",
            
143
      "state": "active",
142
      "state": "active",
            
144
      "vocabulary_id": null
143
      "vocabulary_id": null
            
145
    }
144
    }
            
146
  ],
145
  ],
            
147
  "title": "Sentiment trends (POI) \u2013 United Kingdom (Data 
146
  "title": "Sentiment trends (POI) \u2013 United Kingdom (Data 
            
148
Appeal)",
147
Appeal)",
            
149
  "type": "dataset",
148
  "type": "dataset",
            
150
  "url": null,
149
  "url": null,
            
151
  "use_cases": 
150
  "use_cases": 
            
152
te-selection,https://www.clevermaps.io/tracking-satisfaction-reviews",
151
te-selection,https://www.clevermaps.io/tracking-satisfaction-reviews",
            
153
  "use_cases_description": "Evaluate your current network and find the 
152
  "use_cases_description": "Evaluate your current network and find the 
            
154
locations with the best visibility, availability and performance based 
153
locations with the best visibility, availability and performance based 
            
155
on data about population, exposure or purchasing power.,Find the 
154
on data about population, exposure or purchasing power.,Find the 
            
156
locations with high and low market penetration. Place your new branch 
155
locations with high and low market penetration. Place your new branch 
            
157
smart with the help of data about population, other points of interest 
156
smart with the help of data about population, other points of interest 
            
158
or human mobility.,Analyze the presence of your competition and 
157
or human mobility.,Analyze the presence of your competition and 
            
159
include the findings in the business strategy. Location data will help 
158
include the findings in the business strategy. Location data will help 
            
160
you to try targeting areas with more potential.,Wondering where to 
159
you to try targeting areas with more potential.,Wondering where to 
            
161
place your next branch, when you already have all the important places 
160
place your next branch, when you already have all the important places 
            
162
in town covered? Find locations with undiscovered potential with 
161
in town covered? Find locations with undiscovered potential with 
            
163
location data.,Analyze\u00a0how popular your branches are based on 
162
location data.,Analyze\u00a0how popular your branches are based on 
            
164
customer reviews and their sentiment. Find places with a wrong 
163
customer reviews and their sentiment. Find places with a wrong 
            
165
sentiment and use CleverMaps to relocate them.",
164
sentiment and use CleverMaps to relocate them.",
            
166
  "version": null,
165
  "version": null,
            
167
  "visualization": "Dotmap,Heatmap,Polygon,Grid"
166
  "visualization": "Dotmap,Heatmap,Polygon,Grid"
            
168
}
167
}