https://www.rostrum.blog/tags/colour/ Recent content in Colour on rostrum.blog Hugo -- gohugo.io en-gb Fri, 27 Aug 2021 00:00:00 +0000 https://www.rostrum.blog/2021/08/27/dehex-app/ Fri, 27 Aug 2021 00:00:00 +0000 https://www.rostrum.blog/2021/08/27/dehex-app/ Use the {dehex} app to generate a random hex code and learn how to interpret it by eye. tl;dr The {dehex} package now contains a Shiny app that you can use to walk through the process of reading a colour hex code, as per David DeSandro’s method. {dehex}cellent In the last post I introduced the R package {dehex}. Its purpose is to help me (you?) look at a colour hex code and be able to ‘read’ roughly what colour it is without resorting to a lookup. https://www.rostrum.blog/2021/08/10/dehex/ Tue, 10 Aug 2021 00:00:00 +0000 https://www.rostrum.blog/2021/08/10/dehex/ tl;dr I wrote an R package, {dehex}, that helps you learn to ‘read’ a hex colour code by eye according to David DeSandro’s method. Check out his mindblowing talk. Hue are you? Hex codes are used in computing to encode a colour as a succinct six-digit alphanumeric string, like #F4D82A. These codes are written in hexadecimal (hence ‘hex’): they can take the characters 0 to 9 and A to F, which encodes 16 possible values. https://www.rostrum.blog/2020/12/30/coloratio/ Wed, 30 Dec 2020 00:00:00 +0000 https://www.rostrum.blog/2020/12/30/coloratio/ This blog’s theme: insufficient contrast! tl;dr I made a small R package called {coloratio} to evaluate colour-contrast ratios for accessibility. Then I found out that {savonliquide} already exists to do this. Accessible charts The UK government’s website, GOV.UK, was developed with user needs and accessibility in mind. I’ve been using {ggplot2} to recreate the simple, accessible chart styles suggested for use on GOV.UK by the Government Statistical Service. https://www.rostrum.blog/2018/11/25/art-of-the-possible/ Sun, 25 Nov 2018 00:00:00 +0000 https://www.rostrum.blog/2018/11/25/art-of-the-possible/ ‘Walrus rainbow vomit’ is a sentence I’d never thought I’d type (via Giphy) Note I later learnt about {colorfindr} by David Zumbach, which can extract colours from images, provide composition details and generate palettes. Check it out. tl;dr I used the {magick} package in R to map an image’s colours to their nearest match from a simplified palette, then quantified how much of the image was covered by each colour in that palette.