This blog post is the first in a 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 colour. Stay tuned throughout May for further posts on labelling, annotations, axis, and photo-imagery.
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 design concerns a clever approach to squeezing more potential out of your colour keys, as demonstrated by the project 'Rethinking Detroit' by the National Geographic, looking at the changing fortunes of Detroit's neighbourhoods block-by-block.
The next and final ‘little’ in this week’s post concerns the use of colour and specifically the restrictions caused by the universal application of 'corporate' colour palettes. There are benefits from applying consistent colours to facilitate brand recognition but sometimes this can cause unnecessary obstruction.
SAGE Campus Bytsize courses are a series of short courses that teach core data science skills to people who are eager to learn, but short on time.
In Bytesize: Data Visualization you will learn effective presentation methods for various data types and variables, and how to create your own visualizations in Jupyter notebooks in Python or R. Find out more.