Book Image

Managing and Visualizing Your BIM Data

By : Ernesto Pellegrino, Manuel André Bottiglieri, Gavin Crump, Luisa Cypriano Pieper, Dounia Touil
Book Image

Managing and Visualizing Your BIM Data

By: Ernesto Pellegrino, Manuel André Bottiglieri, Gavin Crump, Luisa Cypriano Pieper, Dounia Touil

Overview of this book

Business intelligence software has rapidly spread its roots in the AEC industry during the last few years. This has happened due to the presence of rich digital data in BIM models whose datasets can be gathered, organized, and visualized through software such as Autodesk Dynamo BIM and Power BI. Managing and Visualizing Your BIM Data helps you understand and implement computer science fundamentals to better absorb the process of creating Dynamo scripts and visualizing the collected data on powerful dashboards. This book provides a hands-on approach and associated methodologies that will have you productive and up and running in no time. After understanding the theoretical aspects of computer science and related topics, you will focus on Autodesk Dynamo to develop scripts to manage data. Later, the book demonstrates four case studies from AEC experts across the world. In this section, you’ll learn how to get started with Autodesk Dynamo to gather data from a Revit model and create a simple C# plugin for Revit to stream data on Power BI directly. As you progress, you’ll explore how to create dynamic Power BI dashboards using Revit floor plans and make a Power BI dashboard to track model issues. By the end of this book, you’ll have learned how to develop a script to gather a model’s data and visualize datasets in Power BI easily.
Table of Contents (17 chapters)
Section 1: Overview of Digitalization and BIM Data
Section 2: Examples and Case Studies from Experts around the World
Section 3: Deep Dive into Autodesk Dynamo

Importing the data and creating the charts

We're now ready to complete the last section and create the Power BI dashboards. This section will explore the book readers' live dataset and use it to find some fantastic insights. So we will repeat the workflow we did earlier in the first section, Building the form, but here, we won't waste time creating a new Google form as we will use the one I've already prepared. The main goal is to create the charts and focus on Power BI rather than repeating "linking" operations.

Importing the dataset

To import the dataset into Power BI, follow these steps:

  1. Open Power BI Desktop.
  2. Save the file on your PC.
  3. Click on Transform data to start the PQE editor, as shown here:

    Figure 12.23 – Opening the Power Query Editor

    Once you open it, you'll see a new window popping up.

  4. Click on the New Source pointing down black arrow to expand other options. Then, select Web if it is available from the...