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Data from Apr 2023 to Apr 2026Updated 11 months ago
TP (Temasek Polytechnic)Temasek Polytechnic Full-Time Enrolment Figures Breakdown Yearly-2023
Year Year (YYYY) | School Text | Course Type Text | Course Name Text | Gender Text (Gender) | Count Text |
---|---|---|---|---|---|
(Null)0.0% 2023100.0% | (Null)0.0% School of Engineering25.8% School of Business22.6% School of Informatics & IT17.2% School of Design15.1% | (Null)0.0% Full-Time100.0% | (Null)0.0% | (Null)0.0% Male50.5% Female49.5% | (Null)0.0% |
2023 | School of Applied Science | Full-Time | Common Science Programme | Female | 113 |
2023 | School of Applied Science | Full-Time | Common Science Programme | Male | 37 |
2023 | School of Applied Science | Full-Time | Diploma in Chemical Engineering | Female | 167 |
2023 | School of Applied Science | Full-Time | Diploma in Chemical Engineering | Male | 209 |
2023 | School of Applied Science | Full-Time | Diploma in Food, Nutrition & Culinary Science | Female | 138 |
2023 | School of Applied Science | Full-Time | Diploma in Food, Nutrition & Culinary Science | Male | 69 |
2023 | School of Applied Science | Full-Time | Diploma in Medical Biotechnology | Female | 174 |
2023 | School of Applied Science | Full-Time | Diploma in Medical Biotechnology | Male | 87 |
2023 | School of Applied Science | Full-Time | Diploma in Pharmaceutical Science | Female | 192 |
2023 | School of Applied Science | Full-Time | Diploma in Pharmaceutical Science | Male | 71 |
No results found
Title | Column name | Data type | Unit of measure | Description |
---|---|---|---|---|
Year | year | Year (YYYY) | - | - |
School | school | Text | - | - |
Course Type | course_type | Text | - | - |
Course Name | course_name | Text | - | - |
Gender | gender | Text (Gender) | - | - |
Count | count | Text | - | - |
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. Try it out on your browser to see the response schema.
import requests
dataset_id = "d_47c5df883c38077cf5b432162af51056"
url = "https://data.gov.sg/api/action/datastore_search?resource_id=" + dataset_id
response = requests.get(url)
print(response.json())
This dataset can be reused and cited in research publications.
05 Apr 2024
Free forever for personal or commercial use, under the Open Data Licence.