Visualizing data
The first step- often the most important step- in statistical analysis is to visualize your data, which means using plots and graphs. Can you see a difference between experimental treatments? Are there any other interesting patterns? A carefully considered plot can be essential for communicating your findings.
Additional Resources
Presenting Results - StatsTree Handout
Whitlock & Schluter - The Analysis of Biological Data
Chapter 2: pages 27-51 [Sapling]
Data visualization in R
Intro: This video will teach you how to visualise your data using R.
The beauty of data visualization
Intro: TED-Ed talk, turning complex data sets into beautiful, simple diagrams that tease out unseen patterns and connections.
A Comprehensive Guide to Data Visualisation in R for Beginners
Intro/intermediate/advanced: An overview of the R visualisation capabilities.
Colors in R
List of colors with R codenames.
Review Questions
What type of plot could be used to visualize the distribution of a measurement?
What type of plot could be used to visualize the difference between two experimental treatments?
What type of plot could be used to visualize a relationship between two numerical variables?
The Next Steps
Confused?
Let’s move down the tree and review these concepts.
Ready to Move Forward?
Let’s move up the tree to the next topic.