How Do I…? R Code Snippets by Sharon Machlis

Sharon Machlis is the author of Practical R for Mass Communication and Journalism. In writing this book, she obviously wrote a lot of R code. Now, Sharon has been nice enough to share all 195 tricks and tips she came across during her writing with us, via this handy table. Sharon’s list contains many neat…

Overview of built-in colors in R

Most of my data visualizations I create using R programming — as you might have noticed from the content of my website. Though I am colorblind myself, I love to work with colors and color palettes in my visualizations. And I’ve come across quite some neat tricks in my time. For instance, did you it’s…

Data Visualization Style Guide Repositories

Amy Cesal put together (1) this great overview of style guides for data visualization practice. Moreover, in the original tweet, Amy refers to other great repositories such as (2) this PolicyViz one and (3) this humongous one by Adele. Amy’s list includes many references to the best practices used by some of the leading data…

Northstar: The interactive, drag-and-drop data science platform by MIT

MIT researchers have spent years developing the new drag-and-drop analytics tools they call Northstar. Northstar is an interactive data science platform that rethinks how people interact with data. It empowers users without programming experience, background in statistics or machine learning expertise to explore and mine data through an intuitive user interface, and effortlessly build, analyze,…

Recreating graphics from the Fundamentals of Data Visualization

Claus Wilke wrote the Fundamentals of Data Visualization – a great resource that’s definitely high on my list of recommended data visualization books. In a recent post, Claus shared the link to a GitHub repository where he hosts some of the R programming code with which Claus made the graphics for his dataviz book. The…

GIF visualizations of Type 1 and Type 2 error in relation to sample size

On twitter, I came across the tweet below showing some great GIF visualizations on the dangers of taking small samples. Created by Andrew Stewart, and tweeted by John Holbein, the visuals show samples taken from a normal distributed variable with a mean of 10 and a standard deviation of 2. In the left section, Andrew…

Creating plots with custom icons for data points

Data visualizations that make smart use of icons have a way of conveying information that sticks. Dataviz professionals like Moritz Stefaner know this and use the practice in their daily work. A recent #tidytuesday entry by Georgios Karamanis demonstrates how easy it is to integrate visual icons in your data figures when you write code…

Recommended Books on Data Visualization

Data visualization and the (in)effective communication of information are salient topics on this blog. I just love to read and write about best practices related to data visualization (or bad practices), or to explore novel types of complex graphs. However, I am not always online, and I am equally fond of reading about data visualization…

Google Fonts: 915 free font families

Looking for a custom typeface to use in your data visualizations? Google Fonts is an awesome databank of nearly a thousands font families you can access, download, and use for free. If you’re into design, the website includes a blog featuring articles on font design. Google Fonts among others provided the font for my dissertation…