Data Interpretation decides how far your percentile climbs — because CAT rewards those who can analyze fast, calculate smart, and choose wisely under pressure.
Data Interpretation for CAT (9th Edition | 2025) by Arun Sharma is a concept-to-application preparation guide built to develop the analytical thinking, logical pattern recognition, and calculation efficiency required to master tables, charts, graphs, reasoning-based DI sets, percentage comparisons, scatter plots, and mixed data problems.

Structured with Arun Sharma’s Level-wise Approach (L1 → L2 → L3), this edition takes students from fundamental clarity to advanced CAT-style problem solving, ensuring aspirants can decode lengthy sets, extract relevant data quickly, and eliminate unnecessary calculations — the exact skills needed for CAT, XAT, NMAT, SNAP, IIFT & other MBA entrance exams.

With updated DI patterns, high-difficulty sets, shortcut strategies, trap identifiers, and time-saving techniques, the book helps aspirants think logically through numbers, avoid calculation overload, and practice decision-making under constraints.
Each chapter includes solved examples, strategy insights, conceptual boosters, and advanced practice maps, making DI faster, clearer, and more predictable, even when CAT introduces surprise combinations of reasoning + data.

Perfect for students aiming to push beyond accuracy into percentile dominance, Data Interpretation for CAT (9th Edition | 2025) turns raw data into scoring strategy, helping aspirants analyze efficiently, solve selectively, and score consistently in the toughest DI environments.

Publisher: Mc GRAW HILL EDUCATION (INDIA) PVT LTD

Language : ENGLISH

Binding: PAPER BACK

Pages : 600