Data interpretation is the process of making sense of processed data presented in various forms like graphs, charts, and tables. These forms include pie charts, bar charts, line charts, and more. The document discusses different types of data interpretation problems like tabulation, missing data problems, and table puzzles. It also provides tips for approaching data interpretation problems like understanding the question, reading charts and tables carefully, and using approximate values when required. Examples of data interpretation questions are included at the end.