
Gauging election reaction
Of all the graphics produced before, during and after the election (a selection here) it is fair to say the decision by the New York Times team to use ‘gauge’ charts caused quite a stir.
Visualisingdata.com was originally launched in 2010 originally to serve as a blog to help continue the momentum of my learning from studying the subject via a Masters degree. I continue to publish articles and share announcements that track developments in my professional experiences as well as developments in the data visualisation field at large.
This is a collection of all my published posts, starting with the newest and dating back to 2010, tracking. These posts include articles, design commentaries, podcast updates, professional updates, and general news from across the data visualisation field.
Of all the graphics produced before, during and after the election (a selection here) it is fair to say the decision by the New York Times team to use ‘gauge’ charts caused quite a stir.
As the (nuclear) dust settles following a seismic week in history, the fallout and fall outs continue to dominate the media landscape, with finger-pointing galore as people looking to make sense of the nonsense, inevitably, seek a single person or single thing to blame.
This is a short note to clarify arrangements for the two-day data visualisation workshop I have scheduled in San Francisco on Thursday 19th and Friday 20th January 2017.
This lesson draws from a 2011 article in The Atlantic ‘Remembering Bruce, the Mechanical Shark in Jaws’ and was referred to in the third chapter of my new book, where I discuss the matter of establishing your task or project’s ‘circumstances’
A belated announcement (for those who’ve not heard) and public thank you for last week’s news that I had won the silver medal for the ‘Best Dataviz Website’ category of the 2016 Kantar Information is Beautiful Awards.
This week marks the five year anniversary since I cleared my throat, nervously took a sip of water and stood in front of a room full of delegates to open my first ever data visualisation training workshop.
This is part of a series of posts about the ‘little of visualisation design’, respecting the small decisions that make a big difference towards the good and bad of this discipline.
As the title suggests, this is a small collection of some innovative ways that I’ve seen applied to make static, non-digital visualisations become ‘interactive’ in different ways. I’d love to see other examples you might have seen too.
Thank you to Statistics Views for publishing a guest article I wrote for their site. Titled ‘Exploratory Data Analysis: Widening Your View Point’ it is an adapted excerpt from a section in Chapter 4 of my new book looking at some of the tactics involved in using exploratory data analysis to try unlock some of the ‘unknowns’ in your data.
I’ve been gradually building up my schedule of public data visualisation training workshops but, whilst I mention them on social media, I forget not everyone is likely to see updates on Twitter or Facebook.
This is the latest in a series of short articles titled ‘six questions with…’. The purpose of this growing collection of interviews is to provide a conveniently sized platform to offer perspectives about data visualisation-related topics from professionals within, around or outside of the field.
At the end of each month I pull together a collection of links to some of the most relevant, interesting or thought-provoking web content I’ve come across during the previous month. Here’s the latest collection from August 2016.
A I mentioned on Twitter earlier in the week, years after almost everybody else, I’ve decided to start an Instagram account. I’ve set out with an expressed intent as being about capturing ‘the photographic observations of life as a freelance data visualisation professional’.
This is part of a series of posts about the ‘little of visualisation design’, respecting the small decisions that make a big difference towards the good and bad of this discipline.
This is the latest in a series of short articles titled ‘six questions with…’. The purpose of this growing collection of interviews is to provide a conveniently sized platform to offer perspectives about data visualisation-related topics from professionals within, around or outside of the field.
I’m thrilled to learn that visualisingdata.com has been nominated in the final shortlist in the best ‘Dataviz website’ category of the KANTAR Information is Beautiful Awards for 2016.
This is part of a series of posts about the ‘little of visualisation design’, respecting the small decisions that make a big difference towards the good and bad of this discipline.
This is part of a series of posts about the ‘little of visualisation design’, respecting the small decisions that make a big difference towards the good and bad of this discipline.
At the end of each month I pull together a collection of links to some of the most relevant, interesting or thought-provoking web content I’ve come across during the previous month. Here’s the latest collection from July 2016
This is part of a series of posts about the ‘little of visualisation design’, respecting the small decisions that make a big difference towards the good and bad of this discipline.
I recently had the pleasure of being invited to record a new episode of the excellent PolicyViz podcast with Jon Schwabish, during which we discussed my thinking, intentions behind and contents of my new book.
In October, the leading academic data visualisation conference, IEEE VIS 2016, is heading to Baltimore, running from 23rd to the 28th. One of the many rich strands that make up this conference will be the ‘Visualization in Practice (VIP)’ events.
This is part of a series of posts about the ‘little of visualisation design’, respecting the small decisions that make a big difference towards the good and bad of this discipline.
To mark the completion of the Rio 2016 Olympic Games, I have been working, with my trusted lieutenant Andrew Witherley, on designing a new version of ‘The Pursuit of Faster’ project. This visualisation explores the evolution of medal winning performances across all Olympic Games since 1896 as athletes strive for that ultimate pursuit of being faster than the rest.
At the end of each month I pull together a collection of links to some of the most relevant, interesting or thought-provoking web content I’ve come across during the previous month. Here’s the latest collection from June 2016
Earlier today I had the pleasure of doing a live webinar for Bright Talk. The talk was titled ‘Separating Myth from Truth in Data Visualisation’ during which I dispelled and acknowledged some of the ‘always and nevers, mostlys and rarelys’ that exist in data visualisation design.
Now that my book is seemingly starting to reach peoples’ bookshelves, I wanted to quickly reinforce one key point I make in the opening section regarding how I want people to use this book.
This is part of a series of posts about the ‘little of visualisation design’, respecting the small decisions that make a big difference towards the good and bad of this discipline.
Yesterday, I was alerted to how out of date my collection of visualisation (and related) books was over on my references page so I have just been through my memory banks to add as many titles as I can recall have been released over the past couple of years since I last tended to this list of suggested readings.
This is part of a series of posts about the ‘little of visualisation design’, respecting the small decisions that make a big difference towards the good and bad of this discipline.