Continuing my recent line of posts on data visualization resources, I found another repository in my inbox: OriginLab’s GraphGallery! If I’m being honest, I would personally advice you to look at the dataviz project instead, if you haven’t heard of that one yet. However, OriginLab might win in terms of sentiment. It has this nostalgic…
Tag: plot
Play Your Charts Right: Tips for Effective Data Visualization – by Geckoboard
In a world where data really matters, we all want to create effective charts. But data visualization is rarely taught in schools, or covered in on-the-job training. Most of us learn as we go along, and therefore we often make choices or mistakes that confuse and disorient our audience. From overcomplicating or overdressing our charts,…
Visualization innovations: Waffleplots and Swarmplots
Last year witnessed the creation of many novel types of data visualization. Some lesser known ones, jokingly referred to as xenographics, I already discussed. Two new visualization formats seem to stick around though. And as always, it was not long before someone created special R packages for them. Get ready to meet waffleplots and swarmplots! Waffleplot…
Chatterplots
I’ve mentioned before that I dislike wordclouds (for instance here, or here) and apparently others share that sentiment. In his recent Medium blog, Daniel McNichol goes as far as to refer to the wordcloud as the pie chart of text data! Among others, Daniel calls wordclouds disorienting, one-dimensional, arbitrary and opaque and he mentions their lack of order,…
Tidy Missing Data Handling
A recent open access paper by Nicholas Tierney and Dianne Cook — professors at Monash University — deals with simpler handling, exploring, and imputation of missing values in data.They present new methodology building upon tidy data principles, with a goal to integrating missing value handling as an integral part of data analysis workflows. New data structures are…
Add a self-explantory legend to your ggplot2 boxplots
Laura DeCicco found that non-R users keep asking her what her box plots exactly mean or demonstrate. In a recent blog post, she therefore breaks down the calculations into easy-to-follow chunks of code. Even better, she included the source code to make boxplots that come with a very elaborate default legend: As you can see,…
Xenographics: Unusual charts and maps
Xeno.graphics is the collection of unusual charts and maps Maarten Lambrechts maintains. It’s a repository of novel, innovative, and experimental visualizations to inspire you, to fight xenographphobia, and popularize new chart types. For instance, have you ever before heard of a time curve? These are very useful to visualize the development of a relationship over time. The…
ggstatsplot: Creating graphics including statistical details
This pearl had been resting in my inbox for quite a while before I was able to add it to my R resources list. Citing its GitHub page, ggstatsplot is an extension of ggplot2 package for creating graphics with details from statistical tests included in the plots themselves and targeted primarily at behavioral sciences community to provide a one-line code…
Vega: The Grammar of Interactive Graphics
If you have ever programmed in R, you are probably familiar with the Grammar of Graphics due to ggplot2. You can read more about the Grammar of Graphics here, but the general idea behind it is that visualizations can be build up through various layers, each of which have certain characteristics (aesthetics in ggplot2). ggplot(tips, aes(x…
