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Managing and Visualizing Your BIM Data

You're reading from   Managing and Visualizing Your BIM Data Understand the fundamentals of computer science for data visualization using Autodesk Dynamo, Revit, and Microsoft Power BI

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Product type Paperback
Published in Nov 2021
Publisher Packt
ISBN-13 9781801073981
Length 436 pages
Edition 1st Edition
Tools
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Authors (5):
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Dounia Touil Dounia Touil
Author Profile Icon Dounia Touil
Dounia Touil
Gavin Crump Gavin Crump
Author Profile Icon Gavin Crump
Gavin Crump
Ernesto Pellegrino Ernesto Pellegrino
Author Profile Icon Ernesto Pellegrino
Ernesto Pellegrino
Manuel André Bottiglieri Manuel André Bottiglieri
Author Profile Icon Manuel André Bottiglieri
Manuel André Bottiglieri
Luisa Cypriano Pieper Luisa Cypriano Pieper
Author Profile Icon Luisa Cypriano Pieper
Luisa Cypriano Pieper
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Toc

Table of Contents (17) Chapters Close

Preface 1. Section 1: Overview of Digitalization and BIM Data
2. Chapter 1: Introducing Units of Digital Information FREE CHAPTER 3. Chapter 2: Understanding Data Centers 4. Chapter 3: Warming Up Your Data Visualization Engines 5. Section 2: Examples and Case Studies from Experts around the World
6. Chapter 4: Building a Data Bridge between BIM Models and Web-Based Dashboards 7. Chapter 5: Getting Started with Autodesk Dynamo and Data Gathering 8. Chapter 6: Importing Revit Plans in Power BI Using Shape Files 9. Chapter 7: Creating a Revit Model-Check Dashboard Using Dynamo and Power BI 10. Section 3: Deep Dive into Autodesk Dynamo
11. Chapter 8: Deep Dive into Dynamo Data Types 12. Chapter 9: Using Dynamo to Place Family Instances 13. Chapter 10: Gathering a Revit Model's Data from Multiple Models at Once 14. Chapter 11: Visualizing Data from Multiple Models in Power BI 15. Chapter 12: Having Fun with Power BI 16. Other Books You May Enjoy

Summary

We have reached the end of this brief introduction on how to get started with Dynamo. In this chapter, we explored what a VPL is, what Dynamo is, and how and why companies and professionals are using it as a way to automate and manage models. We also learned in a very visual way the basics pertaining to the interface, the nodes, and the data types so that we are ready to take our first confident steps with this powerful software. Lastly, we got down to business and created our first two scripts, which will allow us to export parameter values from families to Excel and re-import them by changing all the values accordingly. As we have learned in previous chapters, companies are moving toward an increasingly data-driven business model. This means that the demand for professionals who understand programming logic will be growing in the AEC industry. As a result of this chapter and this book, you will be better prepared for the challenges that will come next.

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