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Analytics Library

Sell It

The Analytics Library hosts reusable workflows and functions so you can build analyses faster and with consistent methods. Each entry is tested and documented, saving you from reinventing common analysis steps.

Show It

Each workflow page includes step-by-step instructions and example outputs at the Analytics Library. Many provide Jupyter notebooks demonstrating how to use the functions.

Do It

  1. Browse the catalog. Visit the library and search for a workflow that fits your project.
  2. Read the documentation. Open the workflow's README to learn about required inputs and dependencies.
  3. Clone or download. Get the workflow code onto your machine.
  4. Install dependencies. Use the instructions in the README to install required packages or container images.
  5. Run the workflow. Execute it on the provided sample data before applying it to your own dataset.

Review It

Compare your results to the example outputs and note any differences. If you improve the workflow or create a new one, consider contributing it back to the library for others to use.