Building different views allows our audience to see different insights from the same data. This means being able to quickly ask and answer business questions. This is important to be able to see the underlying cause of problems. It also means that we can go exploring in detail different paths of analysis, which is a great way to engage our audience’s curiosity.
Quite often we will see data visualisations which try to stand out by using too much colour. The problem is that this can lead to cognitive overload as there is too much to process. Additionally when everything is the same colour then nothing really stands out.
One of the challenges of analysing data is dealing with imperfect datasets. For this week's #MakeoverMonday Challenge, I visualised the sleep patterns of Americans by age and gender over time. The data is interesting as it shows most Americans aged 15 and over are...
Analysing the data as aggregate bar charts and individual points on a line made me think about different ways I could improve my average step count.
Set actions are versatile: the metric calculation can be used to change the chart, title and colour of the measure selector!
By using colour and an insightful title, we can focus our audience’s attention to a key take-away.
The lollipop chart is a simple, fun variant on the bar chart whilst retaining most of its accuracy.
Through employing some storytelling techniques, including choosing an appropriate chart type, strategic use of colour and size and removing confusing or complicated elements we can enhance the focus of our data story.
There are a range of benefits that data visualisation can bring to help the public sector make better decisions. However, the type of visualisation we build depends upon the audience.
Data visualisation can help unlock hidden trends through use of colour or insightful titles for example. This insight can be used to inform decision making before it is too late.
Please have a go yourself to name each chart type, then click through to see if you are right and to reveal it’s advantages and disadvantages.
Data visualisation can be useful for highlighting relationships within sub-sets of a larger dataset. This can be useful for focussing the audience onto a particular story or point.
Creating two different designs made me think about how to use colour to tailor my data visualisation to different audiences.
I recently participated in both the March and April 2018 Story Telling with Data Challenges: Basic Bar Charts and Square Area Charts respectively published by Cole Knaflic. This got me thinking about the pros and cons of both a common, simple chart type such as the basic bar chart versus a more unusual, arguably more complex chart type such as the square area chart.
Tell a story e.g. the USA is the only non-European country in the top 10 exporters for drugs and medicine.