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EMA (Energy Market Authority)Attribute Legend
Attributes | Data Type | Description |
---|---|---|
Name | Text | - |
Description | Text | - |
Dataset preview
This code can be used to view the raw JSON dataset for Average Monthly Household Electricity Consumption by URA Planning Area & Dwelling Type, 2009. 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>PLN_AREA_N<\/th> <td>PUNGGOL<\/td> <\/tr><tr bgcolor=\"\"> <th>REGION_N<\/th> <td>NORTH-EAST REGION<\/td> <\/tr><tr bgcolor=\"#E3E3F3\"> <th>TOTAL<\/th> <td>409.6<\/td> <\/tr><tr bgcolor=\"\"> <th>ONE_TO_TWO_RM<\/th> <td>0<\/td> <\/tr><tr bgcolor=\"#E3E3F3\"> <th>THREE_RM<\/th> <td>0<\/td> <\/tr><tr bgcolor=\"\"> <th>FOUR_RM<\/th> <td>357.2<\/td> <\/tr><tr bgcolor=\"#E3E3F3\"> <th>FIVE_RM_EXEC_FLATS<\/th> <td>435.5<\/td> <\/tr><tr bgcolor=\"\"> <th>INC_CRC<\/th> <td>E5C2B7D7E0E4E4DC<\/td> <\/tr><tr bgcolor=\"#E3E3F3\"> <th>FMEL_UPD_D<\/th> <td>20140731172420<\/td> <\/tr><\/table><\/center>" }, "geometry": { "type": "Polygon", "coordinates": [ [ [ 103.930178548849995, 1.40059212060742, 0.0 ], [ 103.930096442413998, 1.40055984550453, 0.0 ], [ 103.928459285434002, 1.39990084679533, 0.0 ], [ 103.927040414003997, 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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
dataset_id = "d_634194a40f36e5bc11a942ab0164fa9d"
url = "https://api-open.data.gov.sg/v1/public/api/datasets/" + dataset_id + "/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)
This dataset can be reused and cited in research publications.
31 Jul 2023
Free forever for personal or commercial use, under the Open Data Licence.