Thanks for Reading!

[This article was first published on Deeply Trivial, and kindly contributed to R-bloggers]. (You can report issue about the content on this page here)
Want to share your content on R-bloggers? click here if you have a blog, or here if you don't.

As I’ve been blogging more about statistics, R, and research in general, I’ve been trying to increase my online presence, sharing my blog posts in groups of like-minded people. Those efforts seem to have paid off, based on my view counts over the past year:

And based on read counts, here are my top 10 blog posts, most of which are stats-related:
  1. Beautiful Asymmetry – none of us is symmetrical, and that’s okay 
  2. Statistical Sins: Stepwise Regression – just step away from stepwise regression
  3. Statistics Sunday: What Are Degrees of Freedom? (Part 1) – and read Part 2 here
  4. Working with Your Facebook Data in R
  5. Statistics Sunday: Free Data Science and Statistics Resources
  6. Statistics Sunday: What is Bootstrapping?
  7. Statistical Sins: Know Your Variables (A Confession) – we all make mistakes, but we should learn from them
  8. Statistical Sins: Not Making it Fun (A Thinly Veiled Excuse to Post a Bunch of XKCD Cartoons) – the subtitle says it all
  9. Statistics Sunday: Taylor Swift vs. Lorde – Analyzing Song Lyrics – analyzing song lyrics is my jam
  10. How Has Taylor Swift’s Word Choice Changed Over Time? – ditto
It’s so nice to see people are enjoying the posts, even sharing them and reaching out with additional thoughts and questions. Thanks, readers!

To leave a comment for the author, please follow the link and comment on their blog: Deeply Trivial. offers daily e-mail updates about R news and tutorials about learning R and many other topics. Click here if you're looking to post or find an R/data-science job.
Want to share your content on R-bloggers? click here if you have a blog, or here if you don't.

Never miss an update!
Subscribe to R-bloggers to receive
e-mails with the latest R posts.
(You will not see this message again.)

Click here to close (This popup will not appear again)