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": "Enhanced Datasets",
5
  "category": "Enhanced Datasets",
            
6
  "coverage": "Brazil",
6
  "coverage": "Brazil",
            
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.mastercardservices.com/en",
9
  "data_source": "https://www.mastercardservices.com/en",
            
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": "Polygon",
14
  "geometry": "Polygon",
            
15
  "groups": [],
15
  "groups": [],
            
16
  "id": "7c945ac5-56b8-4d6a-8933-73a96938d8e4",
16
  "id": "7c945ac5-56b8-4d6a-8933-73a96938d8e4",
            
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": "Lower than municipalities",
21
  "lowest_granularity": "Lower than municipalities",
            
22
  "maintainer": null,
22
  "maintainer": null,
            
23
  "maintainer_email": null,
23
  "maintainer_email": null,
            
24
  "metadata_created": "2023-09-05T00:19:57.672093",
24
  "metadata_created": "2023-09-05T00:19:57.672093",
            
n
25
  "metadata_modified": "2023-09-09T00:19:49.099679",
n
25
  "metadata_modified": "2023-11-07T00:23:50.191902",
            
26
  "name": 
26
  "name": 
            
27
"mastercard-mastercard_geographic_insights_quadkey_16_-_brazil",
27
"mastercard-mastercard_geographic_insights_quadkey_16_-_brazil",
            
28
  "notes": "This dataset contains the data about credit and debit card 
28
  "notes": "This dataset contains the data about credit and debit card 
            
29
transactions in Brazil. The provider of the data is Mastercard. The 
29
transactions in Brazil. The provider of the data is Mastercard. The 
            
30
data provide you with insights on the shopping behaviour of people, 
30
data provide you with insights on the shopping behaviour of people, 
            
31
amount of money spent, frequency of transaction etc. Data is 
31
amount of money spent, frequency of transaction etc. Data is 
            
32
interpreted as an index that is compared to a whole country, region or 
32
interpreted as an index that is compared to a whole country, region or 
            
33
municipality. It is available on the quadkey level 16, but can be 
33
municipality. It is available on the quadkey level 16, but can be 
            
34
aggregated to other geographies as well.",
34
aggregated to other geographies as well.",
            
35
  "num_resources": 1,
35
  "num_resources": 1,
            
36
  "num_tags": 6,
36
  "num_tags": 6,
            
37
  "organization": {
37
  "organization": {
            
38
    "approval_status": "approved",
38
    "approval_status": "approved",
            
39
    "created": "2023-09-05T00:15:51.528529",
39
    "created": "2023-09-05T00:15:51.528529",
            
40
    "description": "Mastercard Data & Services encompasses 
40
    "description": "Mastercard Data & Services encompasses 
            
41
Mastercard's offerings beyond the transaction. They provide their 
41
Mastercard's offerings beyond the transaction. They provide their 
            
42
customers with Insights, Customer Intelligence and data about the 
42
customers with Insights, Customer Intelligence and data about the 
            
43
customers payment behaviour. The data about transactions can offer a 
43
customers payment behaviour. The data about transactions can offer a 
            
44
valuable insight into the atractiveness of the location, number of 
44
valuable insight into the atractiveness of the location, number of 
            
45
businesses open and the traffic in the surroundings. It is a very 
45
businesses open and the traffic in the surroundings. It is a very 
            
46
useful data source when looking to place your new branch.",
46
useful data source when looking to place your new branch.",
            
47
    "id": "dfc9153f-1061-4a5a-8e21-519671dd74c3",
47
    "id": "dfc9153f-1061-4a5a-8e21-519671dd74c3",
            
48
    "image_url": 
48
    "image_url": 
            
49
7a96a7/2dc2e77e-31c9-4bf6-b310-d14722cbe9b4/MicrosoftTeams-image.png",
49
7a96a7/2dc2e77e-31c9-4bf6-b310-d14722cbe9b4/MicrosoftTeams-image.png",
            
50
    "is_organization": true,
50
    "is_organization": true,
            
51
    "name": "mastercard",
51
    "name": "mastercard",
            
52
    "state": "active",
52
    "state": "active",
            
53
    "title": "MasterCard",
53
    "title": "MasterCard",
            
54
    "type": "organization"
54
    "type": "organization"
            
55
  },
55
  },
            
56
  "owner_org": "dfc9153f-1061-4a5a-8e21-519671dd74c3",
56
  "owner_org": "dfc9153f-1061-4a5a-8e21-519671dd74c3",
            
n
57
  "price_dataset_one_time": "0",
n

            
58
  "price_notes": "Pricing is not available from MasterCard. The price 
57
  "price_notes": "Pricing is not available from MasterCard. The price 
            
59
needs to be asked from MasterCard upon request.",
58
needs to be asked from MasterCard upon request.",
            
60
  "private": false,
59
  "private": false,
            
61
  "relationships_as_object": [],
60
  "relationships_as_object": [],
            
62
  "relationships_as_subject": [],
61
  "relationships_as_subject": [],
            
63
  "resources": [
62
  "resources": [
            
64
    {
63
    {
            
65
      "cache_last_updated": null,
64
      "cache_last_updated": null,
            
66
      "cache_url": null,
65
      "cache_url": null,
            
67
      "ckan_url": "https://datacatalog.ps.cleveranalytics.com",
66
      "ckan_url": "https://datacatalog.ps.cleveranalytics.com",
            
68
      "created": "2023-09-04T13:51:25.756952",
67
      "created": "2023-09-04T13:51:25.756952",
            
69
      "datastore_active": true,
68
      "datastore_active": true,
            
70
      "datastore_contains_all_records_of_source_file": true,
69
      "datastore_contains_all_records_of_source_file": true,
            
71
      "description": "Data sample",
70
      "description": "Data sample",
            
72
      "format": "CSV",
71
      "format": "CSV",
            
73
      "hash": "848a5a38a662337bac1476d13ea5f65f",
72
      "hash": "848a5a38a662337bac1476d13ea5f65f",
            
74
      "id": "f2c8bd1d-52a6-43c5-b4eb-0880b651e522",
73
      "id": "f2c8bd1d-52a6-43c5-b4eb-0880b651e522",
            
75
      "ignore_hash": true,
74
      "ignore_hash": true,
            
76
      "last_modified": null,
75
      "last_modified": null,
            
77
      "map": 
76
      "map": 
            
78
sactions_qk16_view?token=he2w0Y3gnLF1hFKufYiw1xqUv7ZKNvidPFaMOwyr2e0",
77
sactions_qk16_view?token=he2w0Y3gnLF1hFKufYiw1xqUv7ZKNvidPFaMOwyr2e0",
            
t
79
      "metadata_modified": "2023-09-09T00:19:49.103267",
t
78
      "metadata_modified": "2023-11-07T00:23:50.195549",
            
80
      "mimetype": null,
79
      "mimetype": null,
            
81
      "mimetype_inner": null,
80
      "mimetype_inner": null,
            
82
      "name": "Mastercard Geographic Insights",
81
      "name": "Mastercard Geographic Insights",
            
83
      "original_url": 
82
      "original_url": 
            
84
p://localhost/s3/data_partners/mastercard/mastercard_qk16_sample.csv",
83
p://localhost/s3/data_partners/mastercard/mastercard_qk16_sample.csv",
            
85
      "package_id": "7c945ac5-56b8-4d6a-8933-73a96938d8e4",
84
      "package_id": "7c945ac5-56b8-4d6a-8933-73a96938d8e4",
            
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      "position": 0,
85
      "position": 0,
            
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      "resource_id": "f2c8bd1d-52a6-43c5-b4eb-0880b651e522",
86
      "resource_id": "f2c8bd1d-52a6-43c5-b4eb-0880b651e522",
            
88
      "resource_type": null,
87
      "resource_type": null,
            
89
      "s3link": 
88
      "s3link": 
            
90
aps-data-catalog/data_partners/mastercard/mastercard_qk16_sample.csv",
89
aps-data-catalog/data_partners/mastercard/mastercard_qk16_sample.csv",
            
91
      "set_url_type": false,
90
      "set_url_type": false,
            
92
      "size": null,
91
      "size": null,
            
93
      "state": "active",
92
      "state": "active",
            
94
      "task_created": "2023-09-04 14:08:00.091918",
93
      "task_created": "2023-09-04 14:08:00.091918",
            
95
      "url": 
94
      "url": 
            
96
p://localhost/s3/data_partners/mastercard/mastercard_qk16_sample.csv",
95
p://localhost/s3/data_partners/mastercard/mastercard_qk16_sample.csv",
            
97
      "url_type": null
96
      "url_type": null
            
98
    }
97
    }
            
99
  ],
98
  ],
            
100
  "state": "active",
99
  "state": "active",
            
101
  "tags": [
100
  "tags": [
            
102
    {
101
    {
            
103
      "display_name": "Brazil",
102
      "display_name": "Brazil",
            
104
      "id": "4c97e4e9-9711-46fc-a066-cffa57873d1e",
103
      "id": "4c97e4e9-9711-46fc-a066-cffa57873d1e",
            
105
      "name": "Brazil",
104
      "name": "Brazil",
            
106
      "state": "active",
105
      "state": "active",
            
107
      "vocabulary_id": null
106
      "vocabulary_id": null
            
108
    },
107
    },
            
109
    {
108
    {
            
110
      "display_name": "MasterCard",
109
      "display_name": "MasterCard",
            
111
      "id": "0c235f2e-ceda-4e8e-829d-189eca797b2b",
110
      "id": "0c235f2e-ceda-4e8e-829d-189eca797b2b",
            
112
      "name": "MasterCard",
111
      "name": "MasterCard",
            
113
      "state": "active",
112
      "state": "active",
            
114
      "vocabulary_id": null
113
      "vocabulary_id": null
            
115
    },
114
    },
            
116
    {
115
    {
            
117
      "display_name": "data partner",
116
      "display_name": "data partner",
            
118
      "id": "3b3002bc-553c-40e3-b0ec-4634929b3ede",
117
      "id": "3b3002bc-553c-40e3-b0ec-4634929b3ede",
            
119
      "name": "data partner",
118
      "name": "data partner",
            
120
      "state": "active",
119
      "state": "active",
            
121
      "vocabulary_id": null
120
      "vocabulary_id": null
            
122
    },
121
    },
            
123
    {
122
    {
            
124
      "display_name": "payments",
123
      "display_name": "payments",
            
125
      "id": "1fdc0df0-039c-44b8-af91-7e52f9ffaf11",
124
      "id": "1fdc0df0-039c-44b8-af91-7e52f9ffaf11",
            
126
      "name": "payments",
125
      "name": "payments",
            
127
      "state": "active",
126
      "state": "active",
            
128
      "vocabulary_id": null
127
      "vocabulary_id": null
            
129
    },
128
    },
            
130
    {
129
    {
            
131
      "display_name": "purchasing power",
130
      "display_name": "purchasing power",
            
132
      "id": "0ba33b5d-8d2f-4d03-951a-62ff7b8b7c3e",
131
      "id": "0ba33b5d-8d2f-4d03-951a-62ff7b8b7c3e",
            
133
      "name": "purchasing power",
132
      "name": "purchasing power",
            
134
      "state": "active",
133
      "state": "active",
            
135
      "vocabulary_id": null
134
      "vocabulary_id": null
            
136
    },
135
    },
            
137
    {
136
    {
            
138
      "display_name": "transactions",
137
      "display_name": "transactions",
            
139
      "id": "00a0bb75-d90f-48ce-8919-d42e160eecfe",
138
      "id": "00a0bb75-d90f-48ce-8919-d42e160eecfe",
            
140
      "name": "transactions",
139
      "name": "transactions",
            
141
      "state": "active",
140
      "state": "active",
            
142
      "vocabulary_id": null
141
      "vocabulary_id": null
            
143
    }
142
    }
            
144
  ],
143
  ],
            
145
  "title": "Mastercard Geographic Insights (Quadkey 16) \u2013 
144
  "title": "Mastercard Geographic Insights (Quadkey 16) \u2013 
            
146
Brazil",
145
Brazil",
            
147
  "type": "dataset",
146
  "type": "dataset",
            
148
  "url": null,
147
  "url": null,
            
149
  "use_cases": 
148
  "use_cases": 
            
150
nity-prediction,https://www.clevermaps.io/tracking-sales-performance",
149
nity-prediction,https://www.clevermaps.io/tracking-sales-performance",
            
151
  "use_cases_description": "Thinking about turning some of your 
150
  "use_cases_description": "Thinking about turning some of your 
            
152
branches to cashless? Our location data will help you selecting the 
151
branches to cashless? Our location data will help you selecting the 
            
153
right ones and keep the service availability high at the same 
152
right ones and keep the service availability high at the same 
            
154
time.,Learn about the typical characteristics of your customer and 
153
time.,Learn about the typical characteristics of your customer and 
            
155
find out the localities with high share of these people to target new 
154
find out the localities with high share of these people to target new 
            
156
potential locations for your business.,Evaluate your current network 
155
potential locations for your business.,Evaluate your current network 
            
157
and find the locations with the best visibility, availability and 
156
and find the locations with the best visibility, availability and 
            
158
performance based on data about population, exposure or purchasing 
157
performance based on data about population, exposure or purchasing 
            
159
power.,How much revenue can you expect at your new site or what will 
158
power.,How much revenue can you expect at your new site or what will 
            
160
happen when you close one? Understand how your\u00a0decisions will 
159
happen when you close one? Understand how your\u00a0decisions will 
            
161
impact your overall business performance.,Evaluate your sales success 
160
impact your overall business performance.,Evaluate your sales success 
            
162
rate from a spatial point of view. Then, provide your sales team with 
161
rate from a spatial point of view. Then, provide your sales team with 
            
163
a simple tool offering an overview of the potential customers.",
162
a simple tool offering an overview of the potential customers.",
            
164
  "version": null,
163
  "version": null,
            
165
  "visualization": "Heatmap,Polygon,Grid"
164
  "visualization": "Heatmap,Polygon,Grid"
            
166
}
165
}