Statistical Analysis

1. Choose two data set.  In some circumstances, depending of the data set chosen, you may want to use more than 1.
2. Ask three (3) relevant questions relating to your data set. Consider:
a. Who is your audience?
b. What information does your visualisation intend to convey to your audience?
3. When developing questions, try to think of yourself as a data analyst, and consider all of the different kinds of analysis tasks that a person might want to perform.
4. Extract the relevant data to answer each question. For example, you may use nominal and numeric data types to represent data and your data extraction may include mean, maximum, minimum, mode, or more sophisticated analyses.
5. Visualise your data: Select appropriate representations and interactions of the data for your nominated audience.
6. Check if your data representations can answer your questions.
7. Convert your data values to graphical form. Select the most effective visual encoding to convert data values to graphical form, such as colour, area, charts, interactions.
8. Briefly analyse your data visualisation and discuss the insight it provides. For example, how do your visual displays support answering the questions you asked above? What story are you telling with your data?

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