PORTAL USER GUIDE
A Scatter Plot is one of the easiest and more effective ways of investigating your datasets. It is a great way of ‘eyeballing’ your data to see how the variables are distributed and relate to each other. A scatter plot is not a rigourous statistical analysis, but is a very useful ‘first pass’ of data, to visualise obvious or not so obvious correlations and relationships.
The AURIN portal has two ways of creating a scatter plot from your data – the interactive scatter plot described here allows you to interact with each of the data-points and where they fit on your map, while the scatter plot in the Chart Tools is more “bare-bones”, it allows you easy download of the image for incorporation into documents or presentations. The interactive components of the chart are shown more fully in the outputs tab above.
For this worked example we will investigate the relationship between some income and inequality variables across the Melbourne region.
To do this:
- Select the 2016 Melbourne GCCSA as your area
- Select the NATSEM – Social and Economic Indicators – Synthetic Estimates SA2 2016 as your dataset with the following variables:
- SA2 Code 2016
- Housing Stress (30/40 rule)
- Poverty Rate (proportion of people with equivalised disposable household income below half median equivalised disposable household income)
Once you have added these datasets, you are ready to create your scatter plot – follow the inputs instructions below to see how to do this.
We are now ready to create a scatterplot comparing two of our indicators
In particular, we want to look at the relationship between the poverty rate of an area (the proportion of people below a half median equivalised disposable household income poverty line) and the proportion of the population that is experiencing housing stress – the proportion of the population in the bottom two quintiles of income (the bottom 40% of income) who pay more than 30% of their income on housing – hence the 30/40 rule.
To do this open the Scatter Plot tool (Interactive Maps & Charts → Interactive Charts → Scatter Plot). Enter your parameters as shown in the image below and click the Add Interactive Maps & Charts button.
- Select a dataset: Here you can choose which of the datasets you would like to display as a map. Select NATSEM – Social and Economic Indicators – Synthetic Estimates SA2 2016.
- Select x attribute: Here you select the attribute to plot on the x-axis. Select Poverty Rate (proportion of people with equivalised disposable household income below half median equivalised disposable household income).
- Select y attribute: Here you select the attribute to plot on the y-axis. Select Housing Stress (30/40 rule).
Once you click Add on the input box, a scatterplot will appear automatically in your viewer (shown below). You will also see an entry appear in your Visualise panel, with a small graph icon next to it.
If you hover over any of the dots, it will be highlighted with a red circle, with the values of the variables coming up. This becomes quite useful if you have a map of the area and the units visible as well (it can be any map that shows the units – they don’t have to be the same variables, or even from the same dataset – as long as they are mapping the same spatial units). Hovering over any of the points on the graph will show its corresponding area on the map, and vice versa, as shown in the image below