Data · dataset · 2016
Scaled Dataset.xlsx
Listed in DataCite
The partner company’s historical data could be utilized in developing a data-driven prediction model with project division details as its inputs and project division labor-hours as the desired output.
Description
The BIM models contain 42 design features and 1559 records, each record denoting a division of fabrication. The BIM design features are listed in Table 1.
Labor-hours spent on each division were extracted from job costing databases serving as the output parameter in the regression model. Although the variables in Table 1 are all considered related, there are certain inter-correlations between them and some variables can be explained by others. For instance, material length and weight are highly correlated; by knowing one, the other can be deduced.
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Therefore, a variable selection technique is instrumental in removing these inter-correlations in an analytical manner. It is noteworthy that the dataset was linearly scaled prior to performing analyses in order not to reveal sensitive information of the partner company without distorting patterns and relationships inherent in the data.
Links
Where it is published
- Repository landing page figshare.com/articles/dataset/Scaled_Dataset_xlsx/4491101/1 ↗
landing page · from DataCite
- DOI doi.org/10.6084/m9.figshare.4491101.v1 ↗
DOI / persistent id · from DataCite
Documentation and papers
- Creative Commons Zero v1.0 Universal creativecommons.org/publicdomain/zero/1.0/legalcode ↗
license · from DataCite
Catalogue records · 2
- DataCite API api.datacite.org/dois/10.6084/m9.figshare.4491101.v1 ↗
metadata API · from DataCite
- DataCite Commons commons.datacite.org/doi.org/10.6084/m9.figshare.4491101.v1 ↗
catalogue entry · from DataCite
Topics
- Stated by source
- Civil engineering
Related
- same asScaled Dataset.xlsx
Provenance · 1 source records, 11 field assertions
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|---|---|---|---|
| DataCite | 10.6084/m9.figshare.4491101.v1 | 12 d ago | JSON v1 |
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| concepts[field].fos:civil-engineering | source · DataCite | connector:datacite@1.0.0 | |
| concepts[modality].local:modality:tabular | enrichment · DataCite | keyword-concept-rules@1.0.0 | title+description (65%) |
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