A codebook is a document that describes the variables in a dataset. It typically includes the following information:
- The name of the variable
- The data type of the variable
- A brief description of the variable
- The units of measurement for the variable
- Any transformations or cleaning that was performed on the variable
The codebook is an important part of any data analysis project. It helps to ensure that other people can understand the data and the steps that were taken to clean and prepare it. The codebook should include information about the following:
- The variables in the original dataset
- The transformations and cleaning that were performed on the variables
- The variables in the tidy dataset
- The units of measurement for the variables in the tidy dataset
The codebook should also include information about any summary choices that were made. For example, if you chose to calculate the mean and standard deviation of a variable, you should include this information in the codebook.
Finally, the codebook should include information about the experimental design. This includes information about the participants, the tasks, and the measurements that were taken.
