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Fitness and Conditioning Centres (FCC)
Last updated: 06 Jun 2024, 14:27 SGT
Attribute Legend
Attributes | Data Type | Description |
---|---|---|
Name | Text | - |
Description | Text | - |
Dataset preview
This code can be used to view the raw JSON dataset for Fitness and Conditioning Centres (FCC). 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>BLK</th> <td>762</td> </tr><tr bgcolor=\"\"> <th>ROAD_NAME</th> <td>UPPER EAST COAST RD</td> </tr><tr bgcolor=\"#E3E3F3\"> <th>POSTAL_COD</th> <td>466634</td> </tr><tr bgcolor=\"\"> <th>REMARKS</th> <td></td> </tr><tr bgcolor=\"#E3E3F3\"> <th>TYPE_NAME</th> <td>Fitness Conditioning Centre</td> </tr><tr bgcolor=\"\"> <th>INC_CRC</th> <td>D7F5ECF98764C352</td> </tr><tr bgcolor=\"#E3E3F3\"> <th>FMEL_UPD_D</th> <td>20170801144356</td> </tr><tr bgcolor=\"\"> <th>NAME</th> <td>BEDOK CAMP</td> </tr></table></center>"
},
"geometry": {
"type": "Point",
"coordinates": [
103.952959945122,
1.31600776042889,
0
]
}
},
{
"type": "Feature",
"properties": {
"Name": "kml_2",
"Description": "<center><table><tr><th colspan='2' align='center'><em>Attributes</em></th></tr><tr bgcolor=\"#E3E3F3\"> <th>BLK</th> <td>39</td> </tr><tr bgcolor=\"\"> <th>ROAD_NAME</th> <td>MAJU DR</td> </tr><tr bgcolor=\"#E3E3F3\"> <th>POSTAL_COD</th> <td>596303</td> </tr><tr bgcolor=\"\"> <th>REMARKS</th> <td></td> </tr><tr bgcolor=\"#E3E3F3\"> <th>TYPE_NAME</th> <td>Fitness Conditioning Centre</td> </tr><tr bgcolor=\"\"> <th>INC_CRC</th> <td>CBAFA93BDE35BB3F</td> </tr><tr bgcolor=\"#E3E3F3\"> <th>FMEL_UPD_D</th> <td>20170801144356</td> </tr><tr bgcolor=\"\"> <th>NAME</th> <td>MAJU CAMP</td> </tr></table></center>"
},
"geometry": {
"type": "Point",
"coordinates": [
103.773552787982,
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0
]
}
},
{
"type": "Feature",
"properties": {
"Name": "kml_3",
"Description": "<center><table><tr><th colspan='2' align='center'><em>Attributes</em></th></tr><tr bgcolor=\"#E3E3F3\"> <th>BLK</th> <td>302</td> </tr><tr bgcolor=\"\"> <th>ROAD_NAME</th> <td>SEMBAWANG RD</td> </tr><tr bgcolor=\"#E3E3F3\"> <th>POSTAL_COD</th> <td>758534</td> </tr><tr bgcolor=\"\"> <th>REMARKS</th> <td></td> </tr><tr bgcolor=\"#E3E3F3\"> <th>TYPE_NAME</th> <td>Fitness Conditioning Centre</td> </tr><tr bgcolor=\"\"> <th>INC_CRC</th> <td>2E45B7120226BBBD</td> </tr><tr bgcolor=\"#E3E3F3\"> <th>FMEL_UPD_D</th> <td>20170801144356</td> </tr><tr bgcolor=\"\"> <th>NAME</th> <td>KHATIB CAMP</td> </tr></table></center>"
},
"geometry": {
"type": "Point",
"coordinates": [
103.8274647277,
1.42216903668271,
0
]
}
},
{
"type": "Feature",
"properties": {
"Name": "kml_4",
"Description": "<center><table><tr><th colspan='2' align='center'><em>Attributes</em></th></tr><tr bgcolor=\"#E3E3F3\"> <th>BLK</th> <td>503</td> </tr><tr bgcolor=\"\"> <th>ROAD_NAME</th> <td>LOR KEBASI</td> </tr><tr bgcolor=\"#E3E3F3\"> <th>POSTAL_COD</th> <td>688792</td> </tr><tr bgcolor=\"\"> <th>REMARKS</th> <td><Null></td> </tr><tr bgcolor=\"#E3E3F3\"> <th>TYPE_NAME</th> <td>Fitness Conditioning Centre</td> </tr><tr bgcolor=\"\"> <th>INC_CRC</th> <td>44EA454CD8F36DDE</td> </tr><tr bgcolor=\"#E3E3F3\"> <th>FMEL_UPD_D</th> <td>20170801144356</td> </tr><tr bgcolor=\"\"> <th>NAME</th> <td>KRANJI CAMP</td> </tr></table></center>"
},
"geometry": {
"type": "Point",
"coordinates": [
103.73908439228,
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0
]
}
}
]
}
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_263beaeee450c77eb95c949df5bd274c"
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.