details { margin-top: 0.5em; } summary { cursor: pointer; } details .highlight { margin-top: 0.5em; } details pre { margin-bottom: 0.2em; } aside { background-color: #eeeeee; padding: 1em; } .blog-content aside h3 { color: black; font-size: 24px; } Browsers have been implementing variations on a JavaScript fullscreen API for over a decade. Unfortunately, for much of that time the APIs varied across browsers. This made actually using it in production somewhat cumbersome.
Word clouds are a visual representation of text data where words are arranged in a cluster, with the size of each word reflecting its frequency or importance in the data set. Word clouds are a great way of displaying the most prominent topics or keywords in free text data obtained from websites, social media feeds, reviews, articles and more. If you want to learn more about working with unstructured text data, we recommend attending our Text Mining in R course
In my blog post on improving the responsiveness of Shiny applications I mentioned a recent project I was involved with as part of a collaboration with Utah Tech University. Part of that project involved the construction of interactive Sankey (or to be extra-precise “alluvial”) diagrams using the d3 JavaScript library. One of the requirements was that the user could hover over a link or node in the diagram and see all the connections to or from that link or node highlighted.
What do we mean by “responsiveness”? Confusingly (and rather unhelpfully) when it comes to web applications there are two different topics that may be referred to by the terms “responsive” or “responsiveness”. If you stick “responsive UI” into your favourite search engine the top results will concern “responsive design” - the practice of making websites and applications work across devices, regardless of device and browser dimensions. That’s an interesting and important topic when it comes to designing data-science applications but it’s not what we’re covering here.