Category: R

Amieroh Abrahams builds some graphs:

In Excel it is challenging to eye-ball which changes have been made to a graph, especially if these were minor changes. With R (and some easy to use version control systems), you can see exactly which files were changed. Also, in Excel, a user would usually draw a graph on a single Excel document, and if the same graph is required on a different data set, it is common to copy-and-paste a bunch of manipulations and configurations to another document. Such repeated human interaction is prone to introducing errors, as well as consuming a large amount of time. With R we can avoid this by creating functions, which can be used to run the same code on different data sets simply by changing the input, thereby producing reliable outputs and saving us a lot of time.

Click through for the article. One big thing in Excel’s defense that I did not see here was that it’s a lot easier to perform specific story-telling in Excel visuals. For example, highlight just these two data points, or annotate this segment of the visual. You can do those things in ggplot2 but it’s considerably more difficult than “right-click the data point and format.”

Nicola Rennie looks at different ways to incorporate alt text in R-based images:

Alt text (short for alternative text) is text that describes the appearance and purpose of an image. Alt text has multiple purposes, the main one being that it aids visually impaired users to better understand your content when the alt text is read aloud by screen readers. Alt text is also used in place of an image if it fails to load, which means that users with poor internet connection are more likely to be able to engage with your content.

The ggplot2 example was an interesting one, as I hadn’t ever added alt text to an image there.

Benjamin Smith builds a UI:

Recently, I released a R package called starBliss that aimed to replicate the output of a e-commerce site called MapsForMoments – a site which lets users order custom prints of the night sky on the date of their choosing (usually a special occasion such as a birthday, first date, wedding etc.) and allows them to choose a style, and add some custom text. It was a great experience getting to build the package which replicated the MapsForMoments product and I was shocked to see how well it was received when I posted about it- with the Github receiving over 30 stars at the time of writing this blog!

I decided to take this to the next level by trying to build a similar UI in shiny which allows the user to create a custom star map and not need to use the R console. In this blog I share my experience constructing and showcase the “free alternative” to MapsForMoments – starBlissGUI!

Click through to see how you can run the app, as well as a sample output.

Mandy Norrbo isn’t satisfied with the defaults:

Using {shinydashboard} is great for creating dashboard prototypes with a header-sidebar-body layout. You can quickly mock up a professional looking dashboard containing a variety of outputs, including plots and tables.

However, after a while, you’ll probably have had enough of the “50 shades of blue” default theme. Or, you might have been asked to to follow company branding guidelines, so you need to replace the default colours with custom ones.

Click through for a walkthrough of what is available for customization and how to do it.