Articles by Data Imaginist

Say Goodbye to “Good Taste”

March 30, 2021 | Data Imaginist

I’m excited to announce the first release of the ggfx package, a package that brings R native filtering to grid and ggplot2 for the first time. You can install ggfx with:
The purpose of ggfx is to give you access to effects that would otherwise require you to ...
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Insetting a new patchwork version

November 8, 2020 | Data Imaginist

I’m delighted to announce that a new version of patchwork has been released on CRAN. This new version contains both a bunch of small bug fixes as well as some prominent features which will be showcased below. If you are unaware of patchwork, it is ...
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A noisy start

March 17, 2020 | Data Imaginist

I was sure I had released this… Honestly, I thought the new version of ambient had landed on CRAN a year ago. What does that say about me as a developer? Probably not something very positive. One reason is probably that ambient is one of my smaller packages mostly made ...
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Vectorising like a (semi)pro

March 14, 2020 | Data Imaginist

This is a short practical post about programming with R. Take it for what it is and nothing more… R is slow! That is what they keep telling us (they being someone who “knows” about “real” programming and has another language that they for some reason fail to be critical ...
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Patch it up and send it out

November 30, 2019 | Data Imaginist

I am super, super thrilled to finally be able to announce that patchwork has been released on CRAN. Patchwork has, without a doubt, been my most popular unreleased package and it is great to finally make it available to everyone. Patchwork is a package for composing plots, i.e. placing ...
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The Colour of Everything

November 12, 2019 | Data Imaginist

I’m happy to announce that farver 2.0 has landed on CRAN. This is a big release comprising of a rewrite of much of the internals along with a range of new functions and improvements. Read on to find out what this is all about. The case for farver The first ...
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1 giraffe, 2 giraffe, GO!

September 1, 2019 | Data Imaginist

I am beyond excited to finally be able to announce a new version of ggraph. This release, like the ggforce 0.3.0 release, has been many years in the making, laying dormant for long periods first waiting for ggplot2 to get updated and then waiting for me to have time to finally ...
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A Flurry of Facets

August 7, 2019 | Data Imaginist

When I announced the last release of ggforce I hinted that I would like to transition to a more piecemeal release habit and avoid those monster releases that the last one was. True to my word, I am now thrilled to announce that a new version of ggforce is available ...
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The ggforce Awakens (again)

March 6, 2019 | Data Imaginist

After what seems like a lifetime (at least to me), a new feature release of ggforce is available on CRAN. ggforce is my general purpose extension package for ggplot2, my first early success, what got me on twitter in the first place, and ultimately instrumental in my career move towards ...
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Entering and Exiting 2018

January 1, 2019 | Data Imaginist

The year is nearly over and it is the time for reflection and navel-gazing. I don’t have incredibly profound things to say, but a lot of things happened in 2018 and this is as good a time as any to go through it all… Picking Myself Up The prospect... [Read more...]

transformr: Age of Spatial

December 8, 2018 | Data Imaginist

Once again, I gives me great pleasure to announce a new package has joined CRAN. transformr is the spatial brother of tweenr and as with the tweenr update a few months ago, this package is very much driven by the infrastructural needs of gganimate. It is probably the last piece ...
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The tweenr is all grown up

October 21, 2018 | Data Imaginist

NOTE: tweenr was released some time ago but a theft of my computer while writing the release post meant that I only just finished writing about it now. I’m very happy to once again announce a package update, as a new major version of tweenr is now on CRAN. ...
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What Are We Plotting, What Are We Animating

September 23, 2018 | Data Imaginist

This is my first blog post about gganimate — a package I’ve been working on since mid-spring this year. I have many thoughts and lots to say about animation and gganimate, so much in fact that it has seemed too big a task to begin writing about. Further, I felt ...
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Scico and the Colour Conundrum

May 29, 2018 | Data Imaginist

I’m happy to once again announce the release of a package. This time it happens to be a rather unplanned and quick new package, which is fun for a change. The package in question is scico which provides access to the colour palettes developed by Fabio Crameri as well ...
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lime v0.4: The kitten picture edition

March 5, 2018 | Data Imaginist

I’m happy to report a new major release of lime has landed on CRAN. lime is an R port of the Python library of the same name by Marco Ribeiro that allows the user to pry open black box machine learning models and explain their outcomes on a per-observation ...
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Let it flow, let it flow, let it flow

February 21, 2018 | Data Imaginist

I got a new package on CRAN! It’s called particles and it sits right in the perfect intersection of fun, cool, and useful. If you don’t believe me, have a look at the Venn diagram below — charts don’t lie! So what is this all about? particles is ...
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tidygraph 1.1 – A tidy hope

February 11, 2018 | Data Imaginist

I am very pleased to tell you that the next version of tidygraph (1.1) is now available on CRAN. This is not a bug-fix release, nor a change-it-all release, but rather a more-of-it-all release, and in this post I’m going to tell you all about it. The idea of tidygraph ...
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Looking Back on 2017

December 21, 2017 | Data Imaginist

Say what you will about 2017 - it sure made an impact. In the broader view I’m pretty sure all sensible people can agree that that impact was predominantly negative, but even so, small pockets of good can happen. So, here’s a short post about all (...
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Setting fire to deployment: Heroku

November 5, 2017 | Data Imaginist

There are many ways to utilize fiery: It can be the engine behind a local running web-app, it can serve a dynamic site running on your own server, or it can serve a more demanding service by running in the cloud. In this post I’m going to focus on ...
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