One of the most important question types on the quantitative section of the GRE is Data Interpretation, which is sometimes referred to as Data Analysis. Unlike, say, the algebra and geometry questions, Data Interpretation questions don’t rely so much on your knowledge of mathematical formulae. Rather, they primarily test your ability to make sense of numerical information that’s presented graphically, usually in the form of some kind of graph or chart.
While the actual mathematical concepts are not always as challenging as other GRE quant question types, Data Interpretation questions can be surprisingly tricky. And it’s important to learn how to work with them, since they account for approximately 20% of your GRE quant score. In this section, we’ve collected several tips and strategies for you to consider as you go about your GRE prep.