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",
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  "coverage": "Austria",
            
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  "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",
            
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  "date_validity": "2023-07-01",
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  "date_validity": "2023-07-01",
            
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  "dimension": "Undimensioned",
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  "dimension": "Undimensioned",
            
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  "for_sale": "For sale",
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  "for_sale": "For sale",
            
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  "geometry": "Point",
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  "geometry": "Point",
            
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  "groups": [],
15
  "groups": [],
            
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  "id": "e75c1127-cba3-48c1-8a0d-90b3a9ec3933",
16
  "id": "e75c1127-cba3-48c1-8a0d-90b3a9ec3933",
            
17
  "isopen": true,
17
  "isopen": true,
            
18
  "license_id": "cc-zero",
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  "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": "2023-08-29T00:23:15.850885",
24
  "metadata_created": "2023-08-29T00:23:15.850885",
            
n
25
  "metadata_modified": "2023-08-29T00:23:15.850892",
n
25
  "metadata_modified": "2023-08-30T00:22:59.801442",
            
26
  "name": 
26
  "name": 
            
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ta-appeal-acommodation_price_and_occupancy_poi_-_austria_data_appeal",
27
ta-appeal-acommodation_price_and_occupancy_poi_-_austria_data_appeal",
            
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  "notes": "This dataset contains the accomodation prices and 
n
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  "notes": "This dataset contains the accommodation prices and 
            
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occupancy of the points of interest in Austria. The provider of the 
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occupancy of the points of interest in Austria. The provider of the 
            
n
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data is Data Appeal. Accomodation prices and occupancy can be bought 
n
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data is Data Appeal. Accommodation prices and occupancy can be bought 
            
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as additional data to a points of interest package, which contains the 
31
as additional data to a points of interest package, which contains the 
            
32
basic information such as name, address, contacts or the current 
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basic information such as name, address, contacts or the current 
            
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status of the amenity. Additional datasets such as Popularity trends, 
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status of the amenity. Additional datasets such as Popularity trends, 
            
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Sentiment trends or Opening hours are also offered.",
34
Sentiment trends or Opening hours are also offered.",
            
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  "num_resources": 1,
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  "num_resources": 1,
            
36
  "num_tags": 7,
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  "num_tags": 7,
            
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  "organization": {
37
  "organization": {
            
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    "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 
            
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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 
            
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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.",
46
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",
            
57
  "price_dataset_one_time": "0",
57
  "price_dataset_one_time": "0",
            
58
  "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. 
            
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Please see: 
59
Please see: 
            
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ment/d/1zhv1j0WkJ97u5AjmF8HJ_1JM5bcG1SSEP5Lid2jj64g/edit?usp=sharing",
60
ment/d/1zhv1j0WkJ97u5AjmF8HJ_1JM5bcG1SSEP5Lid2jj64g/edit?usp=sharing",
            
61
  "private": false,
61
  "private": false,
            
62
  "relationships_as_object": [],
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  "relationships_as_object": [],
            
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  "relationships_as_subject": [],
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  "relationships_as_subject": [],
            
64
  "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",
68
      "ckan_url": "https://datacatalog.ps.cleveranalytics.com",
            
69
      "created": "2023-08-28T19:22:54.914403",
69
      "created": "2023-08-28T19:22:54.914403",
            
70
      "datastore_active": true,
70
      "datastore_active": true,
            
71
      "datastore_contains_all_records_of_source_file": true,
71
      "datastore_contains_all_records_of_source_file": true,
            
72
      "description": "Data sample",
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      "description": "Data sample",
            
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      "format": "CSV",
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      "format": "CSV",
            
n
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      "hash": "",
n
74
      "hash": "2edf64e4c907d70e2f5d2e48803ef88f",
            
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      "id": "487ca734-2d35-4fca-a83e-4fff319c4cbd",
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      "id": "487ca734-2d35-4fca-a83e-4fff319c4cbd",
            
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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": "2023-08-29T00:23:15.839405",
n
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      "metadata_modified": "2023-08-30T00:22:59.805214",
            
81
      "mimetype": null,
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      "mimetype": null,
            
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      "mimetype_inner": null,
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      "mimetype_inner": null,
            
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      "name": "Accomodation prices and occupancy",
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      "name": "Accomodation prices and occupancy",
            
84
      "original_url": 
84
      "original_url": 
            
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/s3/data_partners/data_appeal/data_appeal_sample_occupancy_price.csv",
85
/s3/data_partners/data_appeal/data_appeal_sample_occupancy_price.csv",
            
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      "package_id": "e75c1127-cba3-48c1-8a0d-90b3a9ec3933",
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      "package_id": "e75c1127-cba3-48c1-8a0d-90b3a9ec3933",
            
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      "position": 0,
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      "position": 0,
            
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      "resource_id": "487ca734-2d35-4fca-a83e-4fff319c4cbd",
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      "resource_id": "487ca734-2d35-4fca-a83e-4fff319c4cbd",
            
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      "resource_type": null,
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      "resource_type": null,
            
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      "s3link": 
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      "s3link": 
            
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log/data_partners/data_appeal/data_appeal_sample_occupancy_price.csv",
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log/data_partners/data_appeal/data_appeal_sample_occupancy_price.csv",
            
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      "set_url_type": false,
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      "set_url_type": false,
            
93
      "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 19:44:04.791420",
95
      "task_created": "2023-08-28 19:44:04.791420",
            
96
      "url": 
96
      "url": 
            
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/s3/data_partners/data_appeal/data_appeal_sample_occupancy_price.csv",
97
/s3/data_partners/data_appeal/data_appeal_sample_occupancy_price.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": [
            
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    {
103
    {
            
104
      "display_name": "Austria",
104
      "display_name": "Austria",
            
105
      "id": "69e3a850-d622-4a32-8470-ffe9934323fa",
105
      "id": "69e3a850-d622-4a32-8470-ffe9934323fa",
            
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      "name": "Austria",
106
      "name": "Austria",
            
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      "state": "active",
107
      "state": "active",
            
108
      "vocabulary_id": null
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      "vocabulary_id": null
            
109
    },
109
    },
            
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    {
110
    {
            
111
      "display_name": "Data Appeal",
111
      "display_name": "Data Appeal",
            
112
      "id": "113fd309-7ead-4b69-8dba-5f4e287350be",
112
      "id": "113fd309-7ead-4b69-8dba-5f4e287350be",
            
113
      "name": "Data Appeal",
113
      "name": "Data Appeal",
            
114
      "state": "active",
114
      "state": "active",
            
115
      "vocabulary_id": null
115
      "vocabulary_id": null
            
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    },
116
    },
            
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    {
117
    {
            
118
      "display_name": "POI",
118
      "display_name": "POI",
            
119
      "id": "11f61381-f0b6-47e5-bf8f-2961374c8c18",
119
      "id": "11f61381-f0b6-47e5-bf8f-2961374c8c18",
            
120
      "name": "POI",
120
      "name": "POI",
            
121
      "state": "active",
121
      "state": "active",
            
122
      "vocabulary_id": null
122
      "vocabulary_id": null
            
123
    },
123
    },
            
124
    {
124
    {
            
125
      "display_name": "accomodation",
125
      "display_name": "accomodation",
            
126
      "id": "a909e1ed-0628-4818-866d-14c70ecd6231",
126
      "id": "a909e1ed-0628-4818-866d-14c70ecd6231",
            
127
      "name": "accomodation",
127
      "name": "accomodation",
            
128
      "state": "active",
128
      "state": "active",
            
129
      "vocabulary_id": null
129
      "vocabulary_id": null
            
130
    },
130
    },
            
131
    {
131
    {
            
132
      "display_name": "data partner",
132
      "display_name": "data partner",
            
133
      "id": "3b3002bc-553c-40e3-b0ec-4634929b3ede",
133
      "id": "3b3002bc-553c-40e3-b0ec-4634929b3ede",
            
134
      "name": "data partner",
134
      "name": "data partner",
            
135
      "state": "active",
135
      "state": "active",
            
136
      "vocabulary_id": null
136
      "vocabulary_id": null
            
137
    },
137
    },
            
138
    {
138
    {
            
139
      "display_name": "points of interest",
139
      "display_name": "points of interest",
            
140
      "id": "a95d8198-bc5d-4c73-b16b-d8e83e5b78f7",
140
      "id": "a95d8198-bc5d-4c73-b16b-d8e83e5b78f7",
            
141
      "name": "points of interest",
141
      "name": "points of interest",
            
142
      "state": "active",
142
      "state": "active",
            
143
      "vocabulary_id": null
143
      "vocabulary_id": null
            
144
    },
144
    },
            
145
    {
145
    {
            
146
      "display_name": "price",
146
      "display_name": "price",
            
147
      "id": "337f4ed8-90f2-41c9-af57-64e535537de8",
147
      "id": "337f4ed8-90f2-41c9-af57-64e535537de8",
            
148
      "name": "price",
148
      "name": "price",
            
149
      "state": "active",
149
      "state": "active",
            
150
      "vocabulary_id": null
150
      "vocabulary_id": null
            
151
    }
151
    }
            
152
  ],
152
  ],
            
t
153
  "title": "Acommodation price and occupancy (POI) \u2013 Austria 
t
153
  "title": "Accommodation price and occupancy (POI) \u2013 Austria 
            
154
(Data Appeal)",
154
(Data Appeal)",
            
155
  "type": "dataset",
155
  "type": "dataset",
            
156
  "url": null,
156
  "url": null,
            
157
  "use_cases": 
157
  "use_cases": 
            
158
te-selection,https://www.clevermaps.io/tracking-satisfaction-reviews",
158
te-selection,https://www.clevermaps.io/tracking-satisfaction-reviews",
            
159
  "use_cases_description": "Evaluate your current network and find the 
159
  "use_cases_description": "Evaluate your current network and find the 
            
160
locations with the best visibility, availability and performance based 
160
locations with the best visibility, availability and performance based 
            
161
on data about population, exposure or purchasing power.,Find the 
161
on data about population, exposure or purchasing power.,Find the 
            
162
locations with high and low market penetration. Place your new branch 
162
locations with high and low market penetration. Place your new branch 
            
163
smart with the help of data about population, other points of interest 
163
smart with the help of data about population, other points of interest 
            
164
or human mobility.,Analyze the presence of your competition and 
164
or human mobility.,Analyze the presence of your competition and 
            
165
include the findings in the business strategy. Location data will help 
165
include the findings in the business strategy. Location data will help 
            
166
you to try targeting areas with more potential.,Wondering where to 
166
you to try targeting areas with more potential.,Wondering where to 
            
167
place your next branch, when you already have all the important places 
167
place your next branch, when you already have all the important places 
            
168
in town covered? Find locations with undiscovered potential with 
168
in town covered? Find locations with undiscovered potential with 
            
169
location data.,Analyze\u00a0how popular your branches are based on 
169
location data.,Analyze\u00a0how popular your branches are based on 
            
170
customer reviews and their sentiment. Find places with a wrong 
170
customer reviews and their sentiment. Find places with a wrong 
            
171
sentiment and use CleverMaps to relocate them.",
171
sentiment and use CleverMaps to relocate them.",
            
172
  "version": null,
172
  "version": null,
            
173
  "visualization": "Dotmap,Heatmap,Polygon,Grid"
173
  "visualization": "Dotmap,Heatmap,Polygon,Grid"
            
174
}
174
}