Interpret logical data sets
Data Interpretation in reasoning focuses on analyzing logical data sets (tables, grids) to answer questions, distinct from the quantitative DI in math sections.
You're given data in structured formats (tables, conditions, coded information) and must interpret it logically to answer questions. This combines data analysis with logical reasoning.
DI-based reasoning sets are increasingly common in banking and management exams, combining analytical skills with data handling.
1.Spend extra time understanding the data — it saves time on questions
2.Mark key data points that are referenced in multiple questions
3.Don't overcomplicate — the data usually has clear patterns
Reasoning DI focuses on logical analysis of conditions and coded data. Quantitative DI involves calculations on charts/graphs. Some modern exams blend both.