My R Journey: Ryan Ames

When I came across Ryan Ames’ LinkedIn profile, I was struck by how similar his work is to my own. Based in Portland (like me), he works at the intersection of data science and program evaluation (the field I worked in prior to starting R for the Rest of Us). My curiosity piqued at seeing

How to Clean Messy Data in R

If you work with data, you know that you often spend as much — if not more — time gathering, wrangling, and cleaning your data as you do analyzing it. A 2014 New York Times article cites the truism that data scientists spend at least half of their time cleaning data. R

My R Journey: Harkanwal Singh

Harkanwal Singh is a data visualisation programmer, currently working at Westpac NZ. Previously, he established and led the data journalism desk at the New Zealand Herald. He is passionate about visualisation as code. He programs in R, JavaScript and Python. He enjoys teaching data visualisation in his own time. He loves reading words and code,

How to Make Beautiful Tables in R

It doesn’t matter how good your data analysis is if you don’t effectively communicate your results. In most reports, communication of results happens through a combination of data visualization and tables. Along with narrative text, these make up the bulk of content used to communicate results. Clear writing is a topic for

My R Journey: Jon Harmon

Jon Harmon is one of the friendliest, most helpful people you’ll come across in the R community (and, in a community known for being incredibly welcoming, that’s saying something!). If you’re involved at all with the R for Data Science Online Learning Community, you’ve likely seen his posts. There, he tries to “pay it forward”