| Statistic | Value |
|---|---|
| Mean(x) | 54.26 |
| Mean(y) | 47.83 |
| Standard deviation(x) | 16.77 |
| Standard deviation(y) | 26.94 |
| Correlation(x, y) | -0.06 |
Introduction to Data Visualisation
Data Visualisation for our Future Climate
Why visualise data?
Data visualisation has two main purposes:
- Exploratory: informs data analysis
- Explanatory: communicating insights and results
What does this data look like?
Summary statistics aren’t enough!
Communicating insights with data visualisation
John Snow collected data on cholera deaths and created a visualisation where the number of deaths was represented by the height of a bar at the corresponding address in London.
This visualisation showed that the deaths clustered around Broad Street, which helped illustrate the cause of the cholera transmission, the Broad Street water pump.
Snow. 1854.
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Why do pie charts have a bad reputation?
Why do 3D charts have a bad reputation?
What value does the bar represent?
It’s not that 3D charts are always bad!
Longer labels are best on the y-axis, horizontally.
How do the two bars compare?
Axes don’t always have to start at zero
Order categories…
…in a sensible way
Source: Georgia Department of Public Health
Order categories appropriately
Default:
Magnitude ordered:
Naturally ordered:
Activity 1
In groups, discuss the following chart. What is good and bad about it?
Discussion
Discussion
Discussion
