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": "Geotypes/Consumer Segments",
5
  "category": "Geotypes/Consumer Segments",
            
6
  "coverage": "France",
6
  "coverage": "France",
            
7
  "creator_user_id": "e2185bb8-8a2a-457e-a273-2e757a7866d8",
7
  "creator_user_id": "e2185bb8-8a2a-457e-a273-2e757a7866d8",
            
8
  "crs": "No coordinate system",
8
  "crs": "No coordinate system",
            
9
  "data_source": "https://www.mb-research.de/",
9
  "data_source": "https://www.mb-research.de/",
            
10
  "dataset_dimension": "Dataset",
10
  "dataset_dimension": "Dataset",
            
11
  "date_validity": "2021-01-01",
11
  "date_validity": "2021-01-01",
            
12
  "dimension": 
12
  "dimension": 
            
13
"https://secure.clevermaps.io/#/projectList/project/m30b90q331i3gio3",
13
"https://secure.clevermaps.io/#/projectList/project/m30b90q331i3gio3",
            
14
  "for_sale": "For sale",
14
  "for_sale": "For sale",
            
15
  "geometry": "No geometry",
15
  "geometry": "No geometry",
            
16
  "groups": [],
16
  "groups": [],
            
17
  "id": "eca25b45-9992-492d-95d4-17ca10ce3efd",
17
  "id": "eca25b45-9992-492d-95d4-17ca10ce3efd",
            
18
  "isopen": true,
18
  "isopen": true,
            
19
  "license_id": "cc-zero",
19
  "license_id": "cc-zero",
            
20
  "license_title": "Creative Commons CCZero",
20
  "license_title": "Creative Commons CCZero",
            
21
  "license_url": "http://www.opendefinition.org/licenses/cc-zero",
21
  "license_url": "http://www.opendefinition.org/licenses/cc-zero",
            
22
  "lowest_granularity": "Postcodes",
22
  "lowest_granularity": "Postcodes",
            
23
  "maintainer": null,
23
  "maintainer": null,
            
24
  "maintainer_email": null,
24
  "maintainer_email": null,
            
25
  "metadata_created": "2023-03-01T13:32:01.588346",
25
  "metadata_created": "2023-03-01T13:32:01.588346",
            
n
26
  "metadata_modified": "2023-03-30T13:31:29.361309",
n
26
  "metadata_modified": "2023-11-07T00:30:44.931114",
            
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  "name": 
27
  "name": 
            
28
earch-consumer_spending_by_product_groups_-_france_5-digit_postcodes",
28
earch-consumer_spending_by_product_groups_-_france_5-digit_postcodes",
            
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  "notes": "This dataset contains information about the kind od 
29
  "notes": "This dataset contains information about the kind od 
            
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products that customers tend to spend for the most. You can purchase 
30
products that customers tend to spend for the most. You can purchase 
            
31
the dataset on the level of 5-digit postcodes (6 051 units). This sort 
31
the dataset on the level of 5-digit postcodes (6 051 units). This sort 
            
32
of dataset is also available in other European countries.",
32
of dataset is also available in other European countries.",
            
33
  "num_resources": 1,
33
  "num_resources": 1,
            
34
  "num_tags": 5,
34
  "num_tags": 5,
            
35
  "organization": {
35
  "organization": {
            
36
    "approval_status": "approved",
36
    "approval_status": "approved",
            
37
    "created": "2023-01-29T16:55:22.474138",
37
    "created": "2023-01-29T16:55:22.474138",
            
38
    "description": "MB-Research is a company specializing itself in 
38
    "description": "MB-Research is a company specializing itself in 
            
39
providing its users with economic data on different administrative and 
39
providing its users with economic data on different administrative and 
            
40
postal levels across Europe. The company mostly offers data about 
40
postal levels across Europe. The company mostly offers data about 
            
41
purchasing power, unemployment, demography and also series of 
41
purchasing power, unemployment, demography and also series of 
            
42
different packages derived from this data.",
42
different packages derived from this data.",
            
43
    "id": "bea8ce14-5031-4087-ac7f-1e30b4395fbd",
43
    "id": "bea8ce14-5031-4087-ac7f-1e30b4395fbd",
            
44
    "image_url": 
44
    "image_url": 
            
45
bs.twimg.com/profile_images/1275751395032006656/nQgmFA8I_400x400.jpg",
45
bs.twimg.com/profile_images/1275751395032006656/nQgmFA8I_400x400.jpg",
            
46
    "is_organization": true,
46
    "is_organization": true,
            
47
    "name": "mb-research",
47
    "name": "mb-research",
            
48
    "state": "active",
48
    "state": "active",
            
49
    "title": "MB-Research",
49
    "title": "MB-Research",
            
50
    "type": "organization"
50
    "type": "organization"
            
51
  },
51
  },
            
52
  "owner_org": "bea8ce14-5031-4087-ac7f-1e30b4395fbd",
52
  "owner_org": "bea8ce14-5031-4087-ac7f-1e30b4395fbd",
            
n
53
  "price_dataset_one_time": "117500",
n
53
  "price_notes": "Price EUR: 4700 \u20ac. Price CZK: price EUR x 25 x 
            
54
  "price_notes": "For all product groups. Also available for one 
54
1.2 (includes 20% margin). For all product groups. Also available for 
            
55
product group for 2150 \u20ac, each additional product group is 650 
55
one product group for 2150 \u20ac, each additional product group is 
            
56
\u20ac. Please find the relevant documents for price creation here: 
56
650 \u20ac. Please find the relevant documents for price creation 
            
57
here: 
            
57
s://drive.google.com/drive/folders/18yCEyUhl-_0-tzXQ5uxMRCOx56B4dHTp",
58
s://drive.google.com/drive/folders/18yCEyUhl-_0-tzXQ5uxMRCOx56B4dHTp",
            
58
  "private": false,
59
  "private": false,
            
59
  "relationships_as_object": [],
60
  "relationships_as_object": [],
            
60
  "relationships_as_subject": [],
61
  "relationships_as_subject": [],
            
61
  "resources": [
62
  "resources": [
            
62
    {
63
    {
            
63
      "cache_last_updated": null,
64
      "cache_last_updated": null,
            
64
      "cache_url": null,
65
      "cache_url": null,
            
65
      "ckan_url": "https://datacatalog.ps.cleveranalytics.com",
66
      "ckan_url": "https://datacatalog.ps.cleveranalytics.com",
            
66
      "created": "2022-08-05T10:19:41.375107",
67
      "created": "2022-08-05T10:19:41.375107",
            
67
      "datastore_active": true,
68
      "datastore_active": true,
            
68
      "datastore_contains_all_records_of_source_file": false,
69
      "datastore_contains_all_records_of_source_file": false,
            
69
      "description": "Data sample",
70
      "description": "Data sample",
            
70
      "format": "CSV",
71
      "format": "CSV",
            
71
      "hash": "11e707d829d96462ca4a9a3320617178",
72
      "hash": "11e707d829d96462ca4a9a3320617178",
            
72
      "id": "935c3bca-6922-48b9-a73b-e2d5e3bd3104",
73
      "id": "935c3bca-6922-48b9-a73b-e2d5e3bd3104",
            
73
      "ignore_hash": true,
74
      "ignore_hash": true,
            
74
      "last_modified": null,
75
      "last_modified": null,
            
75
      "map": 
76
      "map": 
            
76
nsumer_spending_view?token=he2w0Y3gnLF1hFKufYiw1xqUv7ZKNvidPFaMOwyr2e0 
77
nsumer_spending_view?token=he2w0Y3gnLF1hFKufYiw1xqUv7ZKNvidPFaMOwyr2e0 
            
77
",
78
",
            
t
78
      "metadata_modified": "2023-03-30T13:31:29.364849",
t
79
      "metadata_modified": "2023-11-07T00:30:44.934520",
            
79
      "mimetype": null,
80
      "mimetype": null,
            
80
      "mimetype_inner": null,
81
      "mimetype_inner": null,
            
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      "name": "Consumer Spending by Product Groups",
82
      "name": "Consumer Spending by Product Groups",
            
82
      "original_url": 
83
      "original_url": 
            
83
3/data_partners/mb_research/mb_research_sample_consumer_spending.csv",
84
3/data_partners/mb_research/mb_research_sample_consumer_spending.csv",
            
84
      "package_id": "eca25b45-9992-492d-95d4-17ca10ce3efd",
85
      "package_id": "eca25b45-9992-492d-95d4-17ca10ce3efd",
            
85
      "position": 0,
86
      "position": 0,
            
86
      "resource_id": "935c3bca-6922-48b9-a73b-e2d5e3bd3104",
87
      "resource_id": "935c3bca-6922-48b9-a73b-e2d5e3bd3104",
            
87
      "resource_type": null,
88
      "resource_type": null,
            
88
      "s3link": 
89
      "s3link": 
            
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g/data_partners/mb_research/mb_research_sample_consumer_spending.csv",
90
g/data_partners/mb_research/mb_research_sample_consumer_spending.csv",
            
90
      "set_url_type": false,
91
      "set_url_type": false,
            
91
      "size": null,
92
      "size": null,
            
92
      "state": "active",
93
      "state": "active",
            
93
      "task_created": "2023-03-16 10:54:14.857150",
94
      "task_created": "2023-03-16 10:54:14.857150",
            
94
      "url": 
95
      "url": 
            
95
3/data_partners/mb_research/mb_research_sample_consumer_spending.csv",
96
3/data_partners/mb_research/mb_research_sample_consumer_spending.csv",
            
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      "url_type": null
97
      "url_type": null
            
97
    }
98
    }
            
98
  ],
99
  ],
            
99
  "state": "active",
100
  "state": "active",
            
100
  "tags": [
101
  "tags": [
            
101
    {
102
    {
            
102
      "display_name": "France",
103
      "display_name": "France",
            
103
      "id": "ff441ab8-e40e-4be8-bb8d-aaad0d6ecafc",
104
      "id": "ff441ab8-e40e-4be8-bb8d-aaad0d6ecafc",
            
104
      "name": "France",
105
      "name": "France",
            
105
      "state": "active",
106
      "state": "active",
            
106
      "vocabulary_id": null
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      "vocabulary_id": null
            
107
    },
108
    },
            
108
    {
109
    {
            
109
      "display_name": "MB-Research",
110
      "display_name": "MB-Research",
            
110
      "id": "6d777b9b-664b-4660-8e8f-3904192e3e09",
111
      "id": "6d777b9b-664b-4660-8e8f-3904192e3e09",
            
111
      "name": "MB-Research",
112
      "name": "MB-Research",
            
112
      "state": "active",
113
      "state": "active",
            
113
      "vocabulary_id": null
114
      "vocabulary_id": null
            
114
    },
115
    },
            
115
    {
116
    {
            
116
      "display_name": "consumer spending",
117
      "display_name": "consumer spending",
            
117
      "id": "49b4c136-c590-4847-abd3-6eac683728c8",
118
      "id": "49b4c136-c590-4847-abd3-6eac683728c8",
            
118
      "name": "consumer spending",
119
      "name": "consumer spending",
            
119
      "state": "active",
120
      "state": "active",
            
120
      "vocabulary_id": null
121
      "vocabulary_id": null
            
121
    },
122
    },
            
122
    {
123
    {
            
123
      "display_name": "consumers",
124
      "display_name": "consumers",
            
124
      "id": "7f3db544-d578-436b-9811-a3b3e4a23dcd",
125
      "id": "7f3db544-d578-436b-9811-a3b3e4a23dcd",
            
125
      "name": "consumers",
126
      "name": "consumers",
            
126
      "state": "active",
127
      "state": "active",
            
127
      "vocabulary_id": null
128
      "vocabulary_id": null
            
128
    },
129
    },
            
129
    {
130
    {
            
130
      "display_name": "partner",
131
      "display_name": "partner",
            
131
      "id": "59088a3f-832b-421c-9601-aa41a3373508",
132
      "id": "59088a3f-832b-421c-9601-aa41a3373508",
            
132
      "name": "partner",
133
      "name": "partner",
            
133
      "state": "active",
134
      "state": "active",
            
134
      "vocabulary_id": null
135
      "vocabulary_id": null
            
135
    }
136
    }
            
136
  ],
137
  ],
            
137
  "title": "Consumer Spending by Product Groups \u2013 France (5-digit 
138
  "title": "Consumer Spending by Product Groups \u2013 France (5-digit 
            
138
postcodes)",
139
postcodes)",
            
139
  "type": "dataset",
140
  "type": "dataset",
            
140
  "url": null,
141
  "url": null,
            
141
  "use_cases": 
142
  "use_cases": 
            
142
telligence-market-research,https://www.clevermaps.io/site-evaluation",
143
telligence-market-research,https://www.clevermaps.io/site-evaluation",
            
143
  "use_cases_description": "Finding out the real catchment areas of 
144
  "use_cases_description": "Finding out the real catchment areas of 
            
144
your branches and comparing them with driving or walking catchment 
145
your branches and comparing them with driving or walking catchment 
            
145
areas can help you optimizing the locations of your branches.,Locate 
146
areas can help you optimizing the locations of your branches.,Locate 
            
146
the places with an insufficient coverage based on data about 
147
the places with an insufficient coverage based on data about 
            
147
population. Evaluate planned locations and find out straightaway what 
148
population. Evaluate planned locations and find out straightaway what 
            
148
amount of people will you cover.,Analyze your current market share on 
149
amount of people will you cover.,Analyze your current market share on 
            
149
a spatial level to focus your expansion efforts on the areas with a 
150
a spatial level to focus your expansion efforts on the areas with a 
            
150
potential customer base and a beneficial number of 
151
potential customer base and a beneficial number of 
            
151
competitors.,Analyze the presence of your competition and include the 
152
competitors.,Analyze the presence of your competition and include the 
            
152
findings in the business strategy. Location data will help you to try 
153
findings in the business strategy. Location data will help you to try 
            
153
targeting areas with more potential.,Evaluate\u00a0the retail 
154
targeting areas with more potential.,Evaluate\u00a0the retail 
            
154
potential of any address and measure its attractiveness within its 
155
potential of any address and measure its attractiveness within its 
            
155
natural catchment area.\u00a0Choosing the right place for you business 
156
natural catchment area.\u00a0Choosing the right place for you business 
            
156
has never been easier.",
157
has never been easier.",
            
157
  "version": null,
158
  "version": null,
            
158
  "visualization": "Polygon"
159
  "visualization": "Polygon"
            
159
}
160
}