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This blog post is the fifth and final in the series of pieces around data visualisation that will be shared on the SAGE Campus blog throughout May. They have been created by Andy Kirk, a UK-based data visualisation specialist, design consultant, training provider, lecturer, author, speaker, researcher,  editor of an award-winning website, and course instructor on Introduction to Data Visualisation

Every week in May we will be sharing Andy’s observations from his 'little’ of visualisation design blog series. This week’s post covers use of photo-imagery. You can see the rest of the posts here.

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. In each post I'm going to focus on just one small matter - a singular good or bad design choice - as demonstrated by a sample project. Each project may have many effective and ineffective aspects, but I'm just commenting on one.

Andy Kirk

Juxtaposing photo-imagery

The 'little' of this next design concerns the juxtaposition of photo-imagery within a chart display. Voters were surveyed to find out which of the 2016 candidates they were able to correctly recognize. 

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One of the subtle design choices I like here is the deliberate cropping of the least recognised candidates' images. The face of Kasich partially disappears below the axis, editorially reinforcing the findings of the analysis.

Read the full post here 

Composition of photo-imagery

The 'little' of this next design concerns the juxtaposition of photo-imagery within a chart display. It might appear to be a relatively simple matter, but gathering and preparing photo-imagery, especially people-based subjects like in the sequence of Presidential head-and-shoulders in this piece, can involve a lot of effort sourcing, editing and compiling each one

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Read the full post


The good and bad of data visualisation: Explore the whole series at the Campus blog.

enroll now on Andy Kirk's Introduction to Data Visualisation course