Data Science Bytes
rstudio::global tips, tricks, and more
RStudio's annual conference saw roughly 17,000 attendees for their first global, all-virtual, 24-hour event. I attended several sessions throughout the day and I'll highlight my favorite data bytes learned that day. I'll also share relatable content for better modeling with R.
rsthemes: Customizing your RStudio IDE
Change up your editor theme with {rsthemes}, a collection of themes to freshen up the RStudio IDE aesthetics.
Preparing for 2021 Goals with a Raspberry Pi
I have been planning my 2021 goals and the Raspberry Pi 4 will help me kill a few birds with one stone.
One-Hour R Package Development Tutorial by Shannon Pileggi, PhD
I followed this tutorial and created a package successfully. It took 45 minutes. Follow, this, guide, my fellow R friends!
What's New in dbplyr 2.0.0
dbplyr, a database backend for dplyr, just released v2.0.0 today... Awesome stuff here!
Detailed R Package Development Tutorial from Method Bites
This is one of the best, most detailed, how-to guides for developing your own R package from A-to-Z
Shiny Voice-Activated input
Want to make your Shiny apps voice-interactive? Now it's possible.
Testing dplyr 1.0.0
Finally getting around to trying out dplyr 1.0.0... Love it!
Lying with Statistics
It's quite easy to manipulate raw data in a manner that "proves" your point. For the sake of exploring this topic further, I'll analyze police killing data and present it in three different ways.
D&D Adventures + blogdown
It's an incredible time to be creative! I've recently been re-learning Dungeons & Dragons with a group of friends and having so much fun in the process.
themis: Extra Steps for tidymodels + recipes
themis contain extra steps for the recipes package for dealing with unbalanced data. The name themis is that of the ancient Greek goddess who is typically depicted with a balance.
Copy R Objects to Clipboard
I was today years old when I learned that you could easily copy/paste R objects to your clipboard.
Hadley Wickham on SuperDataScience Podcast
My eyes were opened to the world of analytics and data science in part through Kirill Eremenko and his amazing SuperDataScience podcast.
Resampling with k-fold Cross Validation
Click for a high-level recap of k-fold cross validation as a resampling method.
An Algorithm for Better Espresso
Coffee lovers... You might find this study fascinating. Finally, a model for the perfect cup of espresso!.
Analyzing Earthquakes in Puerto Rico
Puerto Rico has been experiencing atypical seismic activity since November 2019.
Create Your Own R Package
If you are interested in developing your own R packages, this thorough A-to-Z tutorial resource is one to bookmark.
Writing to Excel from R
Spending your days R but working closely with analysts and leadership that live in Excel? Get familiar with openxlsx.
California Consumer Privacy Act
The California Consumer Privacy Act is set to go into effect on January 1, 2020. The CCPA, similar in nature to GDPR, will provide California residents with new consumer data rights.
Holiday Expectations vs Reality
Holiday expectations...
Ubuntu Update to 19.10
Things not to do with Linux, learned the hard way, as we approach the end of 2019...
Book Rec: Hands-On Machine Learning with R
Digging into Hands-On Machine Learning with R by Brad Boehmke, PhD, and Brandon Greenwell.
Spreading Joy with Java Joy
Bay Area friends... Next time your organization needs coffee for an event, quarterly meeting, all-hands, or lunch and learn, reach out to Java Joy!
Education Reform and Lessons from Finland
Quartz and Google's Avinash Kaushik share insights comparing national education systems, test performance, and time spent on learning..
Building a Website with Blogdown
Learn how to build and deploy a website with R, blogdown, GitHub, Hugo, and Netlify.
15 Tips for Making Better Use of R
If you are an R user not using R Markdown, these tricks could be helpful for you.
Shiny Developer Expert Course
Matt Dancho and Business Science introduce a new R Shiny Expert Developer course.
Visual & Data Journalism at BBC
The BBC News data science and visualization team published this great overview on their analytics and visualizations lessons learned over the course of 1.5 years.
Information is Beautiful 2019 Awards
Visualization professionals present their best at the annual Information is Beautiful Awards show.