Intro to R Visualizations in Microsoft Power BI | R Visualizations in Power BI | Community Webinar
Learn how to integrate Power BI with R and create dynamic R visualizations. Microsoft’s Power BI is a powerful technology for quickly creating rich visualizations. Power BI has many practical uses for the modern data professional including executive dashboards, operational dashboards, and visualizations for data exploration/analysis.
Microsoft has also extended Power BI with support for incorporating R visualizations into Power BI projects, enabling a myriad of data visualization use cases across all industries and circumstances. As such, Power BI is an extremely valuable tool for any Data Analyst, Product/Program Manager, or Data Scientist to have in their tool belt.
At this meetup presenter, we will provide a hands-on introduction to using R visualizations within Power BI using Microsoft’s free Power BI Desktop software. Both the Power BI project and .CSV data files will be accessible via GitHub prior to the Meetup presentation.
Overview of Power BI and where it fits in a data professional’s tool belt.
· Understanding the nuances of how Power BI integrates with R, including necessary data preprocessing.
· A brief introduction to the R ggplot2 visualization package.
· Incorporating R visualizations into Power BI projects.
· Making R visualizations dynamic by responding to Power BI UX controls.
Repository: https://code.datasciencedojo.com/datasciencedojo/tutorials/tree/master/Intro%20to%20R%20Visualizations%20in%20Microsoft%20Power%20BI
For more captivating community talks featuring renowned speakers, check out this playlist: https://youtube.com/playlist?list=PL8eNk_zTBST-EBv2LDSW9Wx_V4Gy5OPFT
Table of Contents:
0:00 – Intro
8:05 – Why Power BI?
14:00 – The database
23:17 – Gotchas
29:00 – Best practices
14:47 – PyTorch
31:05 – Power BI interface with R
35:13 – ggplot2
1:13:25 – Questions
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Chapters (9)
Intro
8:05
Why Power BI?
14:00
The database
23:17
Gotchas
29:00
Best practices
14:47
PyTorch
31:05
Power BI interface with R
35:13
ggplot2
1:13:25
Questions
🎓
Tutor Explanation
DeepCamp AI