A quick rough QTO for all files in a folder
Using a simple script of just 50 lines, you can quickly collect information from a large number of files and analyze the volumes of certain groups
- Go to https://colab.research.google.com/
- download the QuantityTakeoff-JupyterNotebook.ipynb from github site
- Open BIMEXCEL_to_CSV.ipynb in Google Collab
- Upload the BIMEXCEL files to Google Collab
- Change the path to the files in the first block and replace path = 'drive/MyDrive / BIMEXCEL/' with the address of the folder where the BIMISON files are located
- Go to https://www.kaggle.com/
- Open this file in Google Collab
- Upload the BIMEXCEL files to Kaggle Dataset
- Change the path to the files in the first block and replace path = 'drive/MyDrive / BIMEXCEL/' with the address of the folder where the BIMISON files are located
https://DataDrivenConstruction.io/
DataDrivenConstruction transferring information to another party without the need for external guarantors or trusted ‘third parties’, enabling data to be exchanged within 3D-7D systems and between construction parties directly, bypassing any third-party companies controlling data storage and transfer. DataDrivenConstruction allows to automate work with project data. In order to get automatic data from thousands of projects automatically, you need to build the pipeline once on the open tools.
DataDrivenConstruction - You Way to Free Tools in Construction.
