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.
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 2019.
The Encode conference is taking place in London on 19th and 20th September. As I previously posted, this is a brand new two-day conference that aims to ‘bring the creative community together to debate, share and explore the future of data-driven stories’.
It was a pleasure to join Max Gadney to participate in the first episode of his After the Flood podcast.
In this series I am looking at different contextual, editorial, analytical, or design challenges encountered when working on data visualisation tasks. Each will be framed around a specific ‘everyday’ challenge with five possible methods, ideas or observations presented.
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 May 2019.
Across this week and next, I’m happy to be playing the role of host moderator for one of the Data Visualization Society slack channels – topics-in-data-viz – curating a discussion about a hot-topic in data visualisation.
I recently announced publication details for the forthcoming release of my new book, the second edition of ‘Data Visualisation: A Handbook for Data Driven Design’. I mentioned that I would be running some contests to give people a chance to win a copy
In this series I am looking at different contextual, editorial, analytical, or design challenges encountered when working on data visualisation tasks. Each will be framed around a specific ‘everyday’ challenge with five possible methods, ideas or observations presented.
I recently announced publication details for the forthcoming release of my new book, the second edition of ‘Data Visualisation: A Handbook for Data Driven Design’. I mentioned that I would be running some contests to give people a chance to win a copy.
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 April 2019.
Last week I posted publication details for the forthcoming release of my new book, the second edition of ‘Data Visualisation: A Handbook for Data Driven Design’. I mentioned that I would be running some contests to give people a chance to win copies and I’m delighted to announce details of contest 1!
I often get asked to recommend books about data visualisation and in the past I had a dedicated page on here with a long list of books I have personally found influential or inspirational.
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 March 2019
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 ran a simple Twitter poll about the relative ease of learning R vs. Python. Although a correct answer to this query will ALWAYS have to be based on nuances like pre-existing skills and the scope of need, this originates from people telling me they encounter job or career profiles that list a need for R and/or Python.
I’m delighted to share news that the second edition of my book ‘Data Visualisation: A Handbook for Data Driven Design’ is nearing completion and will be published in the UK in July 2019.
My next two-day data visualisation training course in London will be held on Wednesday 14th and Thursday 15th August. Registration is open now with earlybird discount rates available until the end of June.
I wanted to share details of a new longer-form data visualisation training course I am working on with methods@manchester and delivering in July as part of their summer school 2019 series of training courses. The course will be held over five days, Monday 8th to Friday 12th July.
It is the final week of earlybird tickets for the Encode conference taking place in London over 19th and 20th September. Encode is a brand new two-day conference that aims to ‘bring the creative community together to debate, share and explore the future of data-driven stories’.
I’m delighted to have been invited to join the judging panel for the data visualisation track of the Ocean Plastic Innovation Challenge, launched by National Geographic and Sky Ocean Ventures.
I wanted to share a brief update, which is a rubbish label to attach to this post but I’m all out of other better ways to position it.
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 February 2019.
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.
Earlier today I had the pleasure of delivering my first webinar presentation for Tableau this year. The title of my talk was ‘The Design of Time’.
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 January 2019.
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.
To mark each mid-year and end of year milestone I try to take a reflective glance over the previous 6 months period in the data visualisation field and compile a collection of some of the most significant developments. These are the main projects, events, new sites, trends, personalities and general observations that have struck me as being important to help further the development of this field.
Last year I compiled a Twitter list, my first ever Twitter list I’ll have you know, to create a visible membership formed of ‘Freelancers offering data visualisation/infographic design and consultancy services around the world’.