Prepare data for the analysis
Often the data obtained is not ready for immediate analysis but need to be further processed. Examples are data colected as images, text and other non-numeric formats.
Choose the right analysis
Different statistical analyses have different conditions that must be met so they can be correctly applied. These include data types, assumtions of normal/log normal/non-normal distributions, sample size, corrections for multiple comparison tests, etc.
Visualize the results
For ease of communication, custom visualizations are a big help when dealing with complex data.