Visualising my step count: bars and lines together add insights
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.
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.
By using colour and an insightful title, we can focus our audience’s attention to a key take-away.
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 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.
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.
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