Courseware on Data Interpretation, 10e for CAT 2026 by Arun Sharma | 2500+ Practice Questions | Solved PYQs (2017-2025) | 120+ Problem Solving Videos | 43 DI Sectional & Mock Tests | MBA Preparation

Click Here for CAT Preparation Exam Books 2026

Data Interpretation (DI) for CAT 2026 by Arun Sharma ??
Previous Years’ Questions: Access to solved CAT 2017–2025 papers (DI section) with detailed solutions and analytics Problem-solving Videos: Over 120 assisted problem-solving videos to improve learning outcomes ?? 2500 + Practice Questions: Level up your preparation with over 2500 practice questions (with explanations) spread across Levels of Difficulty 1–3 Mock Test Papers: 43 DI sectional tests (including 10 tests on CAT 2023–2025 pattern) and 2 full-length mock tests to simulate real-time exam conditions and boost your confidence Live Interactive Sessions: Interactive author sessions on the right approach and preparation strategy for CAT 2026 ??

What is a McGraw Hill Edge Courseware? ??

McGraw Hill Edge Courseware is an end-to-end learning solution designed to make learning holistic and adaptive to changing examination trends. It goes beyond traditional exam preparation, breaking the mould to give our learners a better chance at success.
It seamlessly blends the traditional strengths of static resources like books with cutting-edge digital learning solutions, including, but not limited to: Conceptual Videos Study Aids (like flashcards and infographics etc.) Knowledge Enrichment Content Previous Years’ Questions (with explanations) Mock Tests Performance Analytics Live Interactive Sessions Full colour eBook
These features ensure a thorough understanding of the subject matter, enhance learning and retention, provide detailed insights into student performance, and fill gaps in preparation.
With the McGraw Hill Edge app, this Courseware can be accessed anytime, anywhere providing full flexibility to the learners. It is interactive and highly responsive to new exam trends; and offers a comprehensive ecosystem that consolidates scattered information into an easily understandable format.
McGraw Hill Edge Courseware aims to boost its learners’ confidence by ensuring that they have access to authoritative information, innovative pedagogies and the confidence to elevate their preparation to success ??

About this Courseware ??

Prepare to conquer CAT 2026 with Courseware on Data Interpretation for CAT 2026, meticulously designed to amplify your potential.
Dive into over 120 problem-solving videos that break down challenging concepts through engaging visual explanations, fostering deeper understanding. Strengthen your preparation further with more than 2500 solved practice questions, ensuring improved coverage of key concepts.
This Courseware also provides access to solved CAT 2017–2025 papers (DI section) with detailed solutions and analytics to help you identify areas for improvement and fine-tune your strategy.
It also features 43 DI sectional tests (including 10 tests on CAT 2023–2025 pattern) and 2 full-length mock tests designed to replicate actual exam conditions and bolster confidence.
To round it all off, participate in live interactive sessions with the author, where you will receive expert insights on preparation techniques and the best approaches to crack CAT 2026. Your journey to success begins here ??

Table of Contents ??

Preface to the Tenth Edition

Part I: Traditional Data Interpretation

Section 1: Basic Modes of Data Representation Data Interpretation—An Overview Tables Bar Graphs Line Graphs and X-Y Charts Pie Charts Data Caselets Multiple and Miscellaneous Charts
Section 2: Quantitative Logic & Data Interpretation DI based on averages and alligations DI based on percentages and ratios DI based on mixed and miscellaneous quantitative concepts
Section 3: How to think in Traditional Data Interpretation Introduction to Traditional Data Interpretation & Mathematical How to Think in Traditional Data Interpretation
Section 4: Mock Test Papers
LOD – I Mock Test Paper 1 Mock Test Paper 2 Mock Test Paper 3 Mock Test Paper 4 Mock Test Paper 5
LOD – 2 Mock Test Paper 6 Mock Test Paper 7 Mock Test Paper 8 Mock Test Paper 9 Mock Test Paper 10 Mock Test Paper 11 Mock Test Paper 12 Mock Test Paper 13 Mock Test Paper 14 Mock Test Paper 15

Part II: Logical Data Interpretation

Section 1: How to think in Logical Data Interpretation Introduction to Logical Data Interpretation How to Think in Logical Data Interpretation
Section 2: Logical DI based on Various Data Representations Logical DI based on tables Logical DI based on bar charts Logical DI based on x-y charts and line graphs Logical DI based on pie charts Logical DI based on data caselets Logical DI based on multiple and miscellaneous charts
Section 3: Twelve Minute Tests Test 1 Test 2 Test 3 Test 4 Test 5 Test 6 Test 7 Test 8 Test 9 Test 10 Test 11 Test 12 Test 13 Test 14 Test 15 Test 16 Test 17 Test 18
Section 4: Mock Test Papers
LOD – 2 Mock Test Paper 1 Mock Test Paper 2 Mock Test Paper 3 Mock Test Paper 4 Mock Test Paper 5
LOD – 3 Mock Test Paper 6 Mock Test Paper 7 Mock Test Paper 8 Mock Test Paper 9 Mock Test Paper 10 Mock Test Paper 11 Mock T