The analyzing phase of the data life cycle includes all of the steps to prepare your data for analyses, conduct your analyses, and document the process. This is when your raw data is turned into your research outputs. The scientific method relies on reproducibility, and this is reflected in the expectations around open science. To be transparent with your methods, you may be expected to share not only your data but your code. When done well, your efforts in this domain increase your credibility.