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.
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.
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.
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
Read the full post
The good and bad of data visualisation: read the whole series at the Campus blog
If you’d like to learn how to transform your data into powerful visualisations and infographics join Andy’s course Introduction to Data Visualisation, starting 25th June. By the end of the course you will be able to:
harness color, composition, interactivity, and annotation to tell your data story
tailor your visualisations to your audience’s needs and integrate critical thinking into your design decisions
determine what is the most important, relevant and interesting content to portray to your audience