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Questions in Dataviz

A blog about data visualisation and visualisations

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Tag: books

February 15, 2024Neil

What makes for an engaging encyclopaedia?

The first draft of this post initially had a simpler question: “What is an encyclopaedia?” This first question might seem like a strange question – those of you who are around about my age will know well (albeit those of you from across the pond may debate the spelling). But there are genuinely people, more […]

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January 14, 2024Neil

How do great visualisation designers think?

Over the course of the last several years of this blog, you’ve got a good level of insight into how I think. But this post isn’t about me – how do great visualisation designers think? This (with the exception of me anglicising the spelling and emphasising the word “great”) is the subtitle and premise of […]

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January 3, 2022January 5, 2022Neil

How do we transform information into art?

That’s a big question – we’ll get to that, and the motivation for asking that particular question later! But the most important context about this post is the time of writing it – the third of January of a brand new year is when many of us look either back, or forward, or both. With […]

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September 29, 2021Neil

What’s happening to Questions in Dataviz?

OK, so you’ve seen that I’ve made many book recommendations (though they seem to have dried up recently). And this blog has asked, addressed, answered (and dodged) many questions over the last (almost) five years. Well this post explains why I have found less time for book reviews recently. And it comes in the form […]

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January 4, 2021Neil

What does 2021 have in store?

I’m often reticent about New Year’s Resolution type posts – posts which list things that people will do in order to enhance their careers or fulfil their potentials. One the one hand they are great for focusing on goals which may have gone somewhat astray in the previous year, but on the other hand they […]

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November 8, 2020Neil

Why create an unnecessary data visualisation?

This post is inspired by this recent publication (note – I started and procrastinated on the post weeks ago, so I’ll edit this to “fairly recent”) publication from Andy Kirk. Many of you will know him for running visualisingdata.com with its regular feast of industry related resources, or will have benefitted from his book or […]

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