PORTAL USER GUIDE

Scatter Plot

A Scatter Plot is one of the easiest and more effective ways of investigating your datasets. The AURIN portal has two ways of creating a scatter plot from your data – the Scatter Plot in the Interactive Maps & Charts toolbox allows you to interact with each of the data points and where they fit on your map, while the scatter plot described here is more “bare-bones”, but allows you to easily download of the image for incorporation into documents or presentations.

SET UP

To illustrate the Scatterplot, we will run it on an income and poverty dataset from Greater Melbourne.

  • Select Greater Melbourne as your area.
  • Select SA2 OECD Indicators: Income, Inequality and Financial Stress 2011 as your dataset, and select the following attributes:
    •  SA2 ID
    •  SA2 Name
    •  Median Disposable Income (Synthetic Data)
    •  Poverty Rate (Synthetic Data)

Inputs

Open the Scatter Plot tool (ToolsCharts → Scatterplot) and enter the following parameters as shown in the image below (Each of these are also explained below)

  • Dataset Input: The dataset to be used for the chart. Select SA2 OECD Indicators: Income, Inequality and Financial Stress 2011.
  • Variables: The variables in the order of X and then Y. Select the following variables:
    • Median Disposable Income as the X (horizontal) variable, and
    • Poverty Rate as the Y (vertical) variable.
  • Use Variable Titles: Select this if you would like the name of the variables along the axes. Tick this box.
  • Chart Title: Here we enter the title for the plot. Type Median Disposable Income versus Poverty Rate.
  • Show Gridlines: Select this if you want to choose gridlines for your graph. Tick this box.
  • Greyscale: Select this if you want your graph to be in greyscale, rather than in the default colour. Untick this box.

Once you have entered the parameters, click Run Tool.

Outputs

Once you have run your Scatter Plot it will appear in the Visualise panel as an image. It should look something like the image below, indicating a negative relationship between median disposable income and poverty rates across Melbourne.

 

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