![]() However, I have found that with the use of Winston Chang’s wonderful extrafont that it is fairly painless. I had read that using fonts not already registered with R was a bit of a nightmare. #rstats #ggplot2 #dataviz /KsAvmQJOKE- David Smale □ April 25, 2019 A one-stop shop for all your colour palette needs. I’ll use these packages to customise a plot I created for Tidy Tuesday last week, based on data from collected by Tam Nguyen:īack into #TidyTuesday for some Anime, because I couldn't resist a chance to use the #Ghibli colour palette. So what if you have the urge (like me) to venture away from the fonts and palettes that come as standard with R and ggplot2? In this blog post, I will detail two great packages in R for doing just this: extrafont and paletteer. ![]() In short, some may see funky fonts and colour palettes as needless window-dressing, but I do not! Personally, I find elements such as colour palettes, themes and fonts can help form a compelling visualisation to draw the reader in, and engage with a visualisation they may otherwise have overlooked. For someone such as myself, who likes to spend time on the aesthetics of a plot, this is reassuring (the other 4 qualities by the way: truthful, functional, insightful and enlightening). One of the 5 qualities that constitute a great visualisation, according to Alberto Cairo’s ‘The Truthful Art’, is for it to be beautiful. “…personal aesthetic preferences can play a role in visualization, and not all design choices that are unrelated to the data can be deemed as useless, whimsical decoration, or chart junk.” Alberto Cairo, The Truthful Art
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