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


That concludes this chapter. During the exercises, we learned many things! First, we learned how to solve the scale numbers issue by placing a simple space in front of each value. By doing so, Excel will not execute the division operation but interpret those values as strings. Then we covered a few more Excel steps on how to prepare the tables for Power BI. After that, we understood how to format the data in Power BI using the PQE and the DAX language to create custom columns and extract the part of the strings we needed. Then, we learned how to correlate the columns of data to one another and build a number of charts, including the scatter plot, the stacked column, and the map chart. In the next chapter, the fun continues with Power BI by analyzing a dataset started by me and produced by the book's readers themselves!