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URA (Urban Redevelopment Authority)Attribute Legends
Attributes | Data Type | Description |
---|---|---|
Name | Text | - |
Description | Text | - |
Dataset preview
This code can be used to view the raw JSON dataset for Master Plan 2019 SDCP Civic District Boundary layer (GEOJSON). Large datasets may be truncated in the preview. Please download the dataset for complete data.
{
"type": "FeatureCollection",
"crs": {
"type": "name",
"properties": {
"name": "urn:ogc:def:crs:OGC:1.3:CRS84"
}
},
"features": [
{
"type": "Feature",
"properties": {
"Name": "kml_1",
"Description": "<center><table><tr><th colspan='2' align='center'><em>Attributes</em></th></tr><tr bgcolor=\"#E3E3F3\"> <th>NAME</th> <td>CIVIC DISTRICT BOUNDARY</td> </tr><tr bgcolor=\"\"> <th>INC_CRC</th> <td>09676CE6BE211774</td> </tr><tr bgcolor=\"#E3E3F3\"> <th>FMEL_UPD_D</th> <td>20200116191916</td> </tr></table></center>"
},
"geometry": {
"type": "Polygon",
"coordinates": [
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This code can be used to test a sample API query. It retrieves the data catalogue of this dataset. For a complete guide on query parameters and syntax, please refer to the API documentation
import requests
datasetId = "d_fff12058a53038dba0a3b4804680c808"
url = "https://api-open.data.gov.sg/v1/public/api/datasets/" + datasetId + "/poll-download"
response = requests.get(url)
json_data = response.json()
if json_data['code'] != 0:
print(json_data['errMsg'])
exit(1)
url = json_data['data']['url']
response = requests.get(url)
print(response.text)
15 Jan 2020
Free forever for personal or commercial use, under the Open Data Licence.