We generate a lot of data. From collating insight, to measuring outcomes, data is key to understanding how the University is working and how we plan for the future.
Our data visualisations should be clear, persuasive and beautiful. They should simplify complex information, help us tell stories and allow the reader to quickly spot comparisons and trends.
Before you start
Before jumping headfirst into visualising your data, consider the following:
- What point are you trying to make? Is everything in your data essential to telling that story? Ditching some of that hard gathered data might be painful, but if it’s confusing your point, it’s time to let go.
- Is your data clean? Is your spreadsheet formatted and labelled properly? Clean data is far easier to display and analyse.
- Keep it simple. Charts and graphs help turn complex ideas into easy to understand visual concepts. Avoid clutter and make data the hero.
- Pick the right chart type. Choosing the right format is fundamental to effectively presenting your data. The guidance below can help with this.
- Emphasise important data. Where possible, use colour and tone to help make the important parts of your story stand out.
- Can you describe everything in the chart in one or two short sentences? If not, it’s probably bloated and may require simplifying.
Axes should be set a 0.5pt in Dark Grey
Grid lines should be set at 0.5pt in 50% Dark Grey
Plotted data could be coloured according to series, and should be spaced clearly from other series or categories. Guidance on use of colour can be found further down this page
Values and labels should be set in Helvetica Now Text Light, Dark Grey, at the same point size as surrounding body copy (no smaller than 9pt)
Key/legends should be set in Helvetica Now Text Light, Dark Grey, at the same point size as surrounding body copy (no smaller than 9pt), supported by square colour indicator slightly larger than the cap height
Chart titles should be set in Helvetica Now Text Bold, Dark Grey, slightly larger than values and labels
Use of colour
Colour is an essential tool in ensuring easy and correct interpretation of data; too little or too much can impact the reader’s ability to process the information. You should always consider the wider context of the document in which the data appears when selecting colour combinations. The below guidance provides an overview of best practice in the context of a bar chart.
When data is from one category, or series are clearly labelled, use one colour
When displaying data from two series, use two contrasting colours
When displaying data from three series, use three complementary colours of a similar tone
When displaying data from four or more series, use a range of tones from one or two complementary colours
Colour should be taken from the University's Bright palette. Tonal values are available at 100%, 75%, 50% and 25%.
Care should be taken when pairing colour:
- Do not pair colours that are too similar in tone
- Do not pair colours that clash
- Do not use different tonal values of different colours unless absoltely nessesary, in which case adjacent colours should have sufficient contrast.
Types of charts
Use the examples below to decide which format works best for your specific data set.
Column chart – used for categorical data
Bar chart – used for categorical data, handy when labels run over two lines
Grouped column chart – for when categorical data contains more than one set
Stacked column chart – used to show how the larger category is divided into the smaller categories
Doughnut chart – used to illustrate numerical proportion, should contain no more than four values
Line graph – commonly used to display trend over time
Bubble chart – displays three dimensions of data: X, Y and size
Scatter plot – used to display correlation and distribution, great for illustrating patterns
Gantt chart – used to display categorised stand and end points on a timeline
Radar diagram – used to display mulitvariant data for one or more categories, the value increases with the radius
Proportional area chart – used to display the relative size of data without the use of scales
Venn diagram – used to display all possible relationships between a small number of sets
Pictorial percentage chart – used to illustrate part to whole within related iconography
Pictorial fraction chart – used to illustrate part to whole as a series of related iconography
Pictorial unit chart – uses a number of icons to display scale, usually for comparison
Progress bar – displays part to whole in the context of progression or achievement
Icon + text – used to illustrate a single value with related iconography