Rubric for Data Science Reports

Data scientists must communicate their results to make an impact. One way to communicate is through written reports. The components of the rubric follow, as well as a description of how you can earn full points. The point values for each of these components are listed on the assignment page, and may differ among assignments.

TODO: link these to relevant lectures

Content

• Use appropriate computational and statistical techniques when analyzing the data.
• Make correct conclusions, supported by the data.

Programming

• Choose clear, meaningful variable names, for example, annual_income_dollars rather than i.
• Comment to explain code blocks that may be unclear.
• Organize code in short, reusable functions. Don’t repeat yourself by repeating the same line of code many times with only minor variations.
• Avoid complexity where possible. Examples include long lines, deep nesting, and complex control flow.

Plots

• Use plots and figures to support your claims.
• Reference the plot in the body of the text immediately above or below.
• Follow plotting principles covered in class.

Focus

• Address the questions in the assignment prompt.
• Tailor your report to the audience.
• Limit unnecessary detail and jargon.

Writing

• Write clearly and directly.
• Use correct grammar and spelling.
• Cite external sources appropriately. Hyperlinks are perfect. Write descriptive link titles, for example, “according to the US Census Bureau …”.