A documentation artifact is a piece of SQL or Python code which uses a given dataset to analyze it further and uncover hidden insights, or to apply some ML techniques to it. We support the following artifacts:

• Query Snippet: A SQL query which is runnable on BigQuery. These snippets are mostly used to extract interesting insights from a dataset.
• Tutorial: A Jupyter Notebook code which is used to do a deeper analysis of the dataset, or apply some ML technique, such as classification to a dataset to train a model.
• Howto: A comprehensive set of code to create complete end-t-end training and prediction pipelines for a given dataset.