Producing excellent graphs simply

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What you will learn

Do you need to produce graphs of your data, simply and effectively? Are you frustrated by how difficult this seems to be? Do you wonder how to represent statistical inferences graphically?

In this one-day workshop, through a mix of presentations and practical exercises, you will:

• Learn about research and insights into effective graphics.
• Use software that produces excellent graphs simply and flexibly.
• Be able to practise what you have learned by graphing your own data.
• Receive hands-on instruction and tutorial guidance.

In the work of the Statistical Consulting Centre, there is an obvious need for good graphs. We need to produce the graphs quickly, edit them easily, and be able to incorporate them into reports seamlessly.

In our view and experience, few of the statistical packages have well-developed graphical capacity. Some software is quite poor in this respect. One important exception is Minitab, which we recommend for the majority of graphical applications: it allows the production of publication-quality graphics quickly and effectively and has important editing capacity. An alternative is the software R and the package ggplot2; this is a code-based application that produces quality graphs. We can provide this training using either Minitab or R.

Who should take this course?

If you are frustrated with the quality of graphs you are currently producing, learning a new tool suited to high-quality graphs is recommended. (These tools do plenty of statistical analyses as well, but that need not be your focus.)

There are no formal prerequisites though it is expected that most participants will have had some experience handling data.

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