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Business Expectations for the Next Three and Six Months, Manufacturing clusters
Updated 12 months ago
EDB (Economic Development Board)Quarter Quarter (Q) | Variables Text | Manufacturing Clusters Text | Net Weighted Balance Numeric |
---|---|---|---|
(Null)0.0% | (Null)0.0% | (Null)0.0% | (Null)69.3% |
1970-Q1 | General Business Expectations (Forecast For Next 6 Months) | Electronics | na |
1970-Q1 | General Business Expectations (Forecast For Next 6 Months) | Chemicals | na |
1970-Q1 | General Business Expectations (Forecast For Next 6 Months) | Biomedical Manufacturing | na |
1970-Q1 | General Business Expectations (Forecast For Next 6 Months) | Precision Engineering | na |
1970-Q1 | General Business Expectations (Forecast For Next 6 Months) | Transport Engineering | na |
1970-Q1 | General Business Expectations (Forecast For Next 6 Months) | General Manufacturing Industries | na |
1970-Q1 | Numbers Employed (Forecast For Next Quarter) | Electronics | na |
1970-Q1 | Numbers Employed (Forecast For Next Quarter) | Chemicals | na |
1970-Q1 | Numbers Employed (Forecast For Next Quarter) | Biomedical Manufacturing | na |
1970-Q1 | Numbers Employed (Forecast For Next Quarter) | Precision Engineering | na |
No results found
Title | Column name | Data type | Unit of measure | Description |
---|---|---|---|---|
Quarter | quarter | Quarter (Q) | - | - |
Variables | level_1 | Text | - | - |
Manufacturing Clusters | level_2 | Text | - | - |
Net Weighted Balance | value | Numeric | Net Weighted Balance | "Net weighted balance" is the difference between the weighted percentage of 'up' responses and the weighted percentage of 'down' responses. |
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_b53bf671e2e03776f5f7e8e95ae9b504"
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.
04 Jan 2017
Free forever for personal or commercial use, under the Open Data Licence.