How to Automate PowerPoint Slidedecks with R

Written by Matt Dancho



Your boss lives on PowerPoint decks. Do you need to create a Slide Deck every week? Let’s learn how to automate PowerPoint with R, using officer and tidyverse.

R-Tips Weekly Newsletter

This article is part of R-Tips Weekly, a weekly video tutorial that shows you step-by-step how to do common R coding tasks one R-tip at a time.

Here are the links to get set up. 👇

This Tutorial Is Available In Video

I have a companion video tutorial that shows even more secrets (plus mistakes to avoid). And, I’m finding that a lot of my students prefer the dialogue that goes along with coding. So check out this video to see me running the code in this tutorial. 👇

Automate PowerPoint with R

Here’s a common situation, you have to make a Monday Morning Slide Deck. It’s the same deck each week, just date ranges for your data change. Here’s how to automate this process with R!

First, here’s what you need to make - A weekly Stock Report.

Weekly Stock Report


Thinking like a programmer, you can collect your stock data using date ranges.

Stock Data Using Date Ranges

With a little bit of data wrangling with the tidyverse, you’ve got your table extracted & formatted!

Tidyverse Wrangling

Tidyverse Wrangling


Then you use timetk to make a sweet plot.

Timetk package


Plotting stock data


Then you use officer to add the table and plot to powerpoint.

Officer R package

You’ve just automated your Monday Morning PowerPoint in R. BOOM! 💥💥💥

Weekly Stock Report


💡 Conclusions

You learned how to automate PowerPoint with R. Great work! But, there’s a lot more to becoming a Business Scientist (my term for an incredibly valuable data scientist that has business skills).

If you’d like to become a Business Scientist (and have an awesome career, improve your quality of life, enjoy your job, and all the fun that comes along), then I can help with that.

My Struggles with Learning Data Science

It took me a long time to learn how to apply data science to business. And I made a lot of mistakes as I fumbled through learning R.

I specifically had a tough time navigating the ever-increasing landscape of tools and packages, trying to pick between R and Python, and getting lost along the way.

If you feel like this, you’re not alone.

In fact, that’s the driving reason that I created Business Science and Business Science University (You can read about my personal journey here).

What I found out is that:

  1. Data Science does not have to be difficult, it just has to be taught from a business perspective
  2. Anyone can learn data science fast provided they are motivated.

How I can help

If you are interested in learning R and the ecosystem of tools at a deeper level, then I have a streamlined program that will get you past your struggles and improve your career in the process.

It’s my 5-Course R-Track System. It’s an integrated system containing 5 courses that work together on a learning path. Through 8 projects, you learn everything you need to help your organization: from data science foundations, to advanced machine learning, to web applications and deployment.

The result is that you break through previous struggles, learning from my experience & our community of 2653 data scientists that are ready to help you succeed.

Ready to take the next step? Then let’s get started.

Join My 5-Course R-Track Program
(Become A 6-Figure Data Scientist)