Өөрчлөлтүүд

              
    

          
          
        
        

            
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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": "Italy",
6
  "coverage": "Italy",
            
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",
            
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": "e617e129-f600-45ad-9024-a8818677779a",
16
  "id": "e617e129-f600-45ad-9024-a8818677779a",
            
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,
            
24
  "metadata_created": "2023-08-29T00:23:13.957674",
24
  "metadata_created": "2023-08-29T00:23:13.957674",
            
n
25
  "metadata_modified": "2023-08-29T00:23:13.957681",
n
25
  "metadata_modified": "2023-11-07T00:30:21.539753",
            
26
  "name": "data-appeal-sentiment_trends_poi_-_italy_data_appeal",
26
  "name": "data-appeal-sentiment_trends_poi_-_italy_data_appeal",
            
27
  "notes": "This dataset contains the Sentiment trends of the points 
27
  "notes": "This dataset contains the Sentiment trends of the points 
            
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of interest in Italy. The provider of the data is Data Appeal. Except 
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of interest in Italy. The provider of the data is Data Appeal. Except 
            
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for the basic information such as name, address, contacts or the 
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for the basic information such as name, address, contacts or the 
            
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current status of the amenity, the data also contain the Sentiment 
30
current status of the amenity, the data also contain the Sentiment 
            
31
trends, which gives you information about the customer satisfaction 
31
trends, which gives you information about the customer satisfaction 
            
32
with the amenity, avg. reviews etc. Additional datasets such as 
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with the amenity, avg. reviews etc. Additional datasets such as 
            
33
Popularity trends, Opening hours or Accomodation Prices are also 
33
Popularity trends, Opening hours or Accomodation Prices are also 
            
34
offered.",
34
offered.",
            
35
  "num_resources": 1,
35
  "num_resources": 1,
            
36
  "num_tags": 6,
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  "num_tags": 6,
            
37
  "organization": {
37
  "organization": {
            
38
    "approval_status": "approved",
38
    "approval_status": "approved",
            
39
    "created": "2023-01-29T16:55:24.667767",
39
    "created": "2023-01-29T16:55:24.667767",
            
40
    "description": "Data Appeal\u2019s combination of geospatial data, 
40
    "description": "Data Appeal\u2019s combination of geospatial data, 
            
41
sentiment intelligence and market trends enhances the growth of 
41
sentiment intelligence and market trends enhances the growth of 
            
42
organizations around the world. Data Appeal\u2019s AI-enabled 
42
organizations around the world. Data Appeal\u2019s AI-enabled 
            
43
solutions and key performance indicators help businesses across all 
43
solutions and key performance indicators help businesses across all 
            
44
sectors to monitor, analyze and profile the customer and traveler 
44
sectors to monitor, analyze and profile the customer and traveler 
            
45
experience of any territory and also to identify locations with the 
45
experience of any territory and also to identify locations with the 
            
46
highest investment potential around the world.",
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highest investment potential around the world.",
            
47
    "id": "2d07337b-8007-4530-a723-aac6a655d12d",
47
    "id": "2d07337b-8007-4530-a723-aac6a655d12d",
            
48
    "image_url": 
48
    "image_url": 
            
49
ww.datappeal.io/wp-content/uploads/2019/10/Logo-DataAppeal-RGB-2.png",
49
ww.datappeal.io/wp-content/uploads/2019/10/Logo-DataAppeal-RGB-2.png",
            
50
    "is_organization": true,
50
    "is_organization": true,
            
51
    "name": "data-appeal",
51
    "name": "data-appeal",
            
52
    "state": "active",
52
    "state": "active",
            
53
    "title": "Data Appeal",
53
    "title": "Data Appeal",
            
54
    "type": "organization"
54
    "type": "organization"
            
55
  },
55
  },
            
56
  "owner_org": "2d07337b-8007-4530-a723-aac6a655d12d",
56
  "owner_org": "2d07337b-8007-4530-a723-aac6a655d12d",
            
n
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  "price_dataset_one_time": "0",
n

            
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  "price_notes": "The price may vary based on the current POI count. 
57
  "price_notes": "The price may vary based on the current POI count. 
            
59
Please see: 
58
Please see: 
            
60
ment/d/1zhv1j0WkJ97u5AjmF8HJ_1JM5bcG1SSEP5Lid2jj64g/edit?usp=sharing",
59
ment/d/1zhv1j0WkJ97u5AjmF8HJ_1JM5bcG1SSEP5Lid2jj64g/edit?usp=sharing",
            
61
  "private": false,
60
  "private": false,
            
62
  "relationships_as_object": [],
61
  "relationships_as_object": [],
            
63
  "relationships_as_subject": [],
62
  "relationships_as_subject": [],
            
64
  "resources": [
63
  "resources": [
            
65
    {
64
    {
            
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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",
67
      "ckan_url": "https://datacatalog.ps.cleveranalytics.com",
            
69
      "created": "2023-08-28T19:22:33.107648",
68
      "created": "2023-08-28T19:22:33.107648",
            
70
      "datastore_active": true,
69
      "datastore_active": true,
            
71
      "datastore_contains_all_records_of_source_file": true,
70
      "datastore_contains_all_records_of_source_file": true,
            
72
      "description": "Data sample",
71
      "description": "Data sample",
            
73
      "format": "CSV",
72
      "format": "CSV",
            
n
74
      "hash": "",
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73
      "hash": "7c7fc967f825bf38bad03dae87ba14fd",
            
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      "id": "32611992-e051-4b86-873c-8716fbeaa018",
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      "id": "32611992-e051-4b86-873c-8716fbeaa018",
            
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      "ignore_hash": true,
75
      "ignore_hash": true,
            
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      "last_modified": null,
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      "last_modified": null,
            
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      "map": 
77
      "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": "2023-08-29T00:23:13.947182",
t
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      "metadata_modified": "2023-11-07T00:30:21.543373",
            
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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,
            
83
      "name": "Sentiment trends",
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      "name": "Sentiment trends",
            
84
      "original_url": 
83
      "original_url": 
            
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/s3/data_partners/data_appeal/data_appeal_sample_sentiment_trend.csv",
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/s3/data_partners/data_appeal/data_appeal_sample_sentiment_trend.csv",
            
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      "package_id": "e617e129-f600-45ad-9024-a8818677779a",
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      "package_id": "e617e129-f600-45ad-9024-a8818677779a",
            
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      "position": 0,
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      "position": 0,
            
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      "resource_id": "32611992-e051-4b86-873c-8716fbeaa018",
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      "resource_id": "32611992-e051-4b86-873c-8716fbeaa018",
            
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      "resource_type": null,
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      "resource_type": null,
            
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      "s3link": 
89
      "s3link": 
            
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log/data_partners/data_appeal/data_appeal_sample_sentiment_trend.csv",
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log/data_partners/data_appeal/data_appeal_sample_sentiment_trend.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",
            
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      "task_created": "2023-08-28 19:47:12.294769",
94
      "task_created": "2023-08-28 19:47:12.294769",
            
96
      "url": 
95
      "url": 
            
97
/s3/data_partners/data_appeal/data_appeal_sample_sentiment_trend.csv",
96
/s3/data_partners/data_appeal/data_appeal_sample_sentiment_trend.csv",
            
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      "url_type": null
97
      "url_type": null
            
99
    }
98
    }
            
100
  ],
99
  ],
            
101
  "state": "active",
100
  "state": "active",
            
102
  "tags": [
101
  "tags": [
            
103
    {
102
    {
            
104
      "display_name": "Data Appeal",
103
      "display_name": "Data Appeal",
            
105
      "id": "113fd309-7ead-4b69-8dba-5f4e287350be",
104
      "id": "113fd309-7ead-4b69-8dba-5f4e287350be",
            
106
      "name": "Data Appeal",
105
      "name": "Data Appeal",
            
107
      "state": "active",
106
      "state": "active",
            
108
      "vocabulary_id": null
107
      "vocabulary_id": null
            
109
    },
108
    },
            
110
    {
109
    {
            
111
      "display_name": "Italy",
110
      "display_name": "Italy",
            
112
      "id": "1b89e738-0463-4bf0-9307-191c6ed3a684",
111
      "id": "1b89e738-0463-4bf0-9307-191c6ed3a684",
            
113
      "name": "Italy",
112
      "name": "Italy",
            
114
      "state": "active",
113
      "state": "active",
            
115
      "vocabulary_id": null
114
      "vocabulary_id": null
            
116
    },
115
    },
            
117
    {
116
    {
            
118
      "display_name": "POI",
117
      "display_name": "POI",
            
119
      "id": "11f61381-f0b6-47e5-bf8f-2961374c8c18",
118
      "id": "11f61381-f0b6-47e5-bf8f-2961374c8c18",
            
120
      "name": "POI",
119
      "name": "POI",
            
121
      "state": "active",
120
      "state": "active",
            
122
      "vocabulary_id": null
121
      "vocabulary_id": null
            
123
    },
122
    },
            
124
    {
123
    {
            
125
      "display_name": "data partner",
124
      "display_name": "data partner",
            
126
      "id": "3b3002bc-553c-40e3-b0ec-4634929b3ede",
125
      "id": "3b3002bc-553c-40e3-b0ec-4634929b3ede",
            
127
      "name": "data partner",
126
      "name": "data partner",
            
128
      "state": "active",
127
      "state": "active",
            
129
      "vocabulary_id": null
128
      "vocabulary_id": null
            
130
    },
129
    },
            
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    {
130
    {
            
132
      "display_name": "points of interest",
131
      "display_name": "points of interest",
            
133
      "id": "a95d8198-bc5d-4c73-b16b-d8e83e5b78f7",
132
      "id": "a95d8198-bc5d-4c73-b16b-d8e83e5b78f7",
            
134
      "name": "points of interest",
133
      "name": "points of interest",
            
135
      "state": "active",
134
      "state": "active",
            
136
      "vocabulary_id": null
135
      "vocabulary_id": null
            
137
    },
136
    },
            
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    {
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    {
            
139
      "display_name": "sentiment",
138
      "display_name": "sentiment",
            
140
      "id": "d23f49ae-4820-4528-95b9-3fa65fcae5c0",
139
      "id": "d23f49ae-4820-4528-95b9-3fa65fcae5c0",
            
141
      "name": "sentiment",
140
      "name": "sentiment",
            
142
      "state": "active",
141
      "state": "active",
            
143
      "vocabulary_id": null
142
      "vocabulary_id": null
            
144
    }
143
    }
            
145
  ],
144
  ],
            
146
  "title": "Sentiment trends (POI) \u2013 Italy (Data Appeal)",
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  "title": "Sentiment trends (POI) \u2013 Italy (Data Appeal)",
            
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  "type": "dataset",
146
  "type": "dataset",
            
148
  "url": null,
147
  "url": null,
            
149
  "use_cases": 
148
  "use_cases": 
            
150
te-selection,https://www.clevermaps.io/tracking-satisfaction-reviews",
149
te-selection,https://www.clevermaps.io/tracking-satisfaction-reviews",
            
151
  "use_cases_description": "Evaluate your current network and find the 
150
  "use_cases_description": "Evaluate your current network and find the 
            
152
locations with the best visibility, availability and performance based 
151
locations with the best visibility, availability and performance based 
            
153
on data about population, exposure or purchasing power.,Find the 
152
on data about population, exposure or purchasing power.,Find the 
            
154
locations with high and low market penetration. Place your new branch 
153
locations with high and low market penetration. Place your new branch 
            
155
smart with the help of data about population, other points of interest 
154
smart with the help of data about population, other points of interest 
            
156
or human mobility.,Analyze the presence of your competition and 
155
or human mobility.,Analyze the presence of your competition and 
            
157
include the findings in the business strategy. Location data will help 
156
include the findings in the business strategy. Location data will help 
            
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you to try targeting areas with more potential.,Wondering where to 
157
you to try targeting areas with more potential.,Wondering where to 
            
159
place your next branch, when you already have all the important places 
158
place your next branch, when you already have all the important places 
            
160
in town covered? Find locations with undiscovered potential with 
159
in town covered? Find locations with undiscovered potential with 
            
161
location data.,Analyze\u00a0how popular your branches are based on 
160
location data.,Analyze\u00a0how popular your branches are based on 
            
162
customer reviews and their sentiment. Find places with a wrong 
161
customer reviews and their sentiment. Find places with a wrong 
            
163
sentiment and use CleverMaps to relocate them.",
162
sentiment and use CleverMaps to relocate them.",
            
164
  "version": null,
163
  "version": null,
            
165
  "visualization": "Dotmap,Heatmap,Polygon,Grid"
164
  "visualization": "Dotmap,Heatmap,Polygon,Grid"
            
166
}
165
}