A couple of weeks ago, I saw on Dirk Eddelbuettel’s blog that R 3.4.0 was going to include a function for obtaining information about packages currently on CRAN, including basically everything in DESCRIPTION files. When R 3.4.0 was released, this was... [Read more...]

Today is the one year anniversary of the janeaustenr package’s appearance on CRAN, its cranniversary, if you will. I think it’s time for more Jane Austen here on my blog. via GIPHY I saw this paper by Matthew Jockers and Gabi Kirilloff a number of months ago and ... [Read more...]

Like I mentioned in my last blog post, I am contributing to a session at userR 2017 this coming July that will focus on discovering and learning about R packages. This is an increasingly important issue for R users as we all decide which of the 10,000+... [Read more...]

I am one of the organizers for a session at userR 2017 this coming July that will focus on discovering and learning about R packages. How do R users find packages that meet their needs? Can we make this process easier? As somebody who is relatively new... [Read more...]

Note: Cross-posted with the Stack Overflow blog. Check out the code for this analysis on Kaggle. For me, the weekends are mostly about spending time with my family, reading for leisure, and working on the open-source projects I am involved in. These w... [Read more...]

Note: Cross-posted with the Stack Overflow blog The 2017 Stack Overflow Developer Survey opened last week, and we on the Data Team are looking forward to analyzing the survey results to better understand our developer community. I am particularly inte... [Read more...]

I spoke on approaching text mining tasks using tidy data principles at rstudio::conf yesterday. I was so happy to have the opportunity to speak and the conference has been a great experience. If you want to catch up on what has been going on at rstudio::conf, Karl Broman ... [Read more...]

It’s been about a month since the U.S. presidential election, with Donald Trump’s victory over Hillary Clinton coming as a surprise to most. Reddit user Jason Baumgartner collected and published every submission and comment posted to Reddit on the ... [Read more...]

In learning more about text mining over the past several months, one aspect of text that I’ve been interested in is readability. A text’s readability measures how hard or easy it is for a reader to read and understand what a text is saying; it depends on how ... [Read more...]

My adopted home state of Utah has been a weird place this election cycle. For the unfamiliar, Utah is extremely conservative when it comes to politics; it is one of the reddest of the red states and has backed the Republican candidate for president for... [Read more...]

I am so pleased to announce that tidytext 0.1.2 is now available on CRAN. This release of tidytext, a package for text mining using tidy data principles by Dave Robinson and me, includes some bug fixes and performance improvements, as well as some new ... [Read more...]

Earlier this week, I published a post about song lyrics and how different U.S. states are mentioned at different rates, and at different rates relative to their populations. That was a very fun post to work on, but you can tell from that paragraph near the end that I ... [Read more...]

The inspiration for this post is a joint venture by both me and my husband, and its genesis lies more than 15 years in our past. One of the recurring conversations we have in our relationship (all long-term relationships have these, right?!) is about song lyrics and place names. I think ... [Read more...]

I saw this tweet making the rounds this past week. Half of all Americans live in the red counties, half live in the orange counties pic.twitter.com/ptBXNbzSFQ— Conrad Hackett (@conradhackett) August 8, 2016 Interesting! I saw people using this map to make the argument that the Electoral College was super ... [Read more...]

Today I was so pleased to see a new data package hit CRAN, and how wonderful to see such accomplished women writing R packages. What a great new data package on CRAN! And always great to see more women authors in #rstats https://t.co/nROMibqPxX pic.twitter.com/UEayWgx9... [Read more...]

Almost six months ago (!) I wrote a blog post about the NEISS data set, a sample of accidents reported to emergency rooms in the U.S. that are related to consumer products. Ever since I did that exploration, I have been wanting to ask a bit of a different question ... [Read more...]

I have been full of grief and sadness and some anger in the wake of yet more videos going viral in the past couple days showing black men being killed by police officers. I am not an expert on what it means to be a person of color in the ... [Read more...]

At the end of last week, Dave Robinson and I released a new version of tidytext on CRAN, our R package for text mining using tidy data principles. You can check out my first blog post about tidytext to learn a bit about the philosophy of the package and see ... [Read more...]

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When I went to the rOpenSci unconference about a month ago, I started work with Dave Robinson on a package for text mining using tidy data principles. What is this tidy data you keep hearing so much about? As described by Hadley Wickham, tidy data has a specific structure: each ... [Read more...]