Building a Data Pipeline
A step-by-step process for creating automatic data processing
LOADing Your Data
FILTERing By Multiple Parameters
GROUPing By Multiple Parameters
PIE Chart
BAR Chart
Regular Expression in Revit and IFC
QTO Quantity TakeOff
EXCEL Data Export
PDF Document Creation
BASIC
basic functions
Data Pipeline
REVIT
data handling
Data Pipeline for Revit Sample
Ready-made Pipelines to automate your tasks
5000 projects in IFC and RVT format | OpenDataBIM
With the help of crawlers, the scripts went through sites with free models and collected all the projects in IFC and Revit formats. A total of 4,596 IFC files and 6,471 Revit files were collected
Checking the quality of Revit and IFC projects
With the help of a table describing the parameters in the category to be checked and with the help of Pipelines from OpenDataBIM – we check the projects in Revit and IFC formats. We automatically generate a PDF document, which contains the basic information about the parameters and categories to be checked.
Example of data processing from Revit and IFC
To work with data in Jupyter Notebook, we first need to load the project dataset obtained during conversion (in this case, it is the rac_basic_sampe.rvt project)
Creating a QTO table by rules from an Excel file
Explore and run machine learning code with Kaggle Notebooks | Using data from multiple data sources
