Visually analysing the answers to why?
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.
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Highlighting data trends with interactive visualisations
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.
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Visualising American sleep patterns over time – but can we trust the data?
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.
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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.
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Which are the happiest countries? Visualising the top 10 countries on the Happy Planet Index
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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How can meat eaters reduce the environmental impact of their diet?
By using colour and an insightful title, we can focus our audience’s attention to a key take-away.
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How to evaluate the results of an experiment visually using data?
The lollipop chart is a simple, fun variant on the bar chart whilst retaining most of its accuracy.
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How we can focus our data stories?
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.
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How can data visualisation support better decision making in the public sector?
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.
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Data visualisation can unlock hidden trends that require action!
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.
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#NWTUG Chart Chooser
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.
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Visualisation can highlight a story in your data
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.
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Tailoring Explanatory and Exploratory Data Visualisations with Colour
Creating two different designs made me think about how to use colour to tailor my data visualisation to different audiences.
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Visualising the natural World around us – basic bar charts versus square area charts
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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Visualising data on the top 10 exporting countries for drugs and medicines
Tell a story e.g. the USA is the only non-European country in the top 10 exporters for drugs and medicine.
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