I'd love to hear what has been your favorite @tidy_explained episode so far!

With 156 episodes, there is lots to pick from!

I am proud of what @OSPpatrick and I have made, and look forward to continuing to learn and share with our community!

#rstats #TidyX

Hit a pretty big milestone today - 3k subscribers to #TidyX!

When I started this project with Patrick Ward, I wasn't sure how long it would go or if there was even anyone that would watch.

Thrilled to get here and looking forward to what's next. Our viewers are the best!

Document your data packages! Join @OSPpatrick and I for #TidyX 154 where we make an #rstats package to serve @f1 championships data!

We go through writing out your #Roxygen tags and creating a vignette as well!

Bit.ly/TidyX_Ep154

Episode 152 of #TidyX is now live!

Join us for part 1 in our series on Data Packaging - where we take historical @F1 data to construct an #rstats package!

This first part is showing how to perform web scraping to pull 1950-2020 championship standings

bit.ly/TidyX_152

If you've been enjoying the latest #TidyX series on creating a shiny model builder, check out some of our earlier content!

In episode 25 Patrick Ward and I did an introduction to shiny, and in episodes 26 and 27 we created a shiny version of the 538 CARMELO tool!

As the series finale, we had the shiny man himself, Eric Nantz, join us to discuss shiny and go through a fun app he made!

Bit.ly/TidyX_Ep25
Bit.ly/TidyX_Ep26
Bit.ly/TidyX_Ep27
Bit.ly/TidyX_Ep32

#rstats #shiny

In #TidyX Episode 151, @OSPpatrick and I add tree based models into our #rstats #shiny model builder!

We demonstrate how to set up a radio button to select from 3 different models, and how to pass this information along to other parts of the app!

Bit.ly/TidyX_Ep151

Check out #TidyX Episode 150 with @OSPpatrick !

We continue our shiny model builder series, this time focusing on making sure to protect our users. We demonstrate 2 methods to ensure your users can't select the outcome as a predictor!

#rstats #shiny

Bit.ly/TidyX_Ep150

Empower your stakeholders with the power to perform simple stat analysis with #rstats #shiny!

Learn in #TidyX Episode 148 how Patrick Ward and I made a simple app that allowed users to upload data and perform linear regressions, getting summaries out!

Bit.ly/TidyX_Ep148

How do you make a report from your #shiny app?

Learn how with Patrick Ward and I in epsiode 147 of #TidyX! We expand on epsiode 146, discussing techniques and use some fun {shinyjs} to enable and disable buttons!

#rstats #datascience #reports

Bit.ly/TidyX_Ep147

Join @OSPpatrick and I for episode 146 of #TidyX!

#shiny is a great tool for empowering your users, but how do they get that data they worked to curate and view?

Enter download handlers! We show 2 methods for downloading content

#rstats #DataScience

Bit.ly/TidyX_Ep146

#TidyX Episode 144 is about nested for loops!

Join @OSPpatrick and I for more on loops, this time simulating data! We show how to iterate over multiple combinations of variables, generating data, modeling it, and extracting the values for later use

#rstats

Bit.ly/TidyX_Ep144

Loops are a flow control that can have a massive impact on what you can do later on, so how you set up your loop has a strong impact on code readability

Check out #TidyX 143 to see a few ways to approach setting up loops in #rstats!

Bit.ly/TidyX_Ep143

#TidyX Episode 142 is now live!

Join @OSPpatrick and I for an episode where we cover 4 ways for you to pull data from an artesian home brewed k-fold regression in a for loop!

These concepts can be broadly applied to a variety of situations.

#rstats #datascience

Bit.ly/TidyX_Ep142

Learn about Function Factories in #TidyX Episode 141!

Join @OSPpatrick and I as we do an intro to how function factories are used commonly, and you have used them without even knowing! We then inspect their structure!

#Rstats #DataScience

Bit.ly/TidyX_Ep141

Join @OSPpatrick and I for episode 140 of #TidyX!

We answer a question from a viewer on how to display data from a dataframe in a single column. Patrick and I show a few ways we interpreted the question and approaches to solve it!

#rstats #DataScience

Bit.ly/TidyX_Ep140

How can you be lazy and still have your reports be run and shared with stakeholders every morning.

Cron jobs!

Check out #TidyX Episode 135 with @OSPpatrick where we show how to make a report run automatically every day on github.

#rstats #datascience

Bit.ly/TidyX_Ep135

TidyX 129 was just recorded and will be posted tonight at midnight. Looking forward to hopefully spready some holiday cheer.

Any guesses what we talk about? #rstats #tidyX