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.
I wanted to try a different visual approach to show the trends by age and gender over time. I decided to use a distributed slope chart, with a take-away title and a subtle use of colour. I could have stacked the age groups into a single slope chart, but I felt this would look cluttered as there would probably be quite a lot of overlapping labels.
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!
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