Generic CAT : CAT Data Interpretation Vs Logical Reasoning: Key Differences - 2026

Core Skill Tested

Ability to read, analyse, and calculate from numerical data

Ability to identify patterns, apply constraints, and deduce conclusions

Primary Question Formats

Tables, bar graphs, line charts, pie charts, scatter plots, caselets, mixed graphs

Seating arrangements, puzzles, blood relations, Venn diagrams, input-output, syllogisms

Mathematical Requirement

High — percentages, ratios, averages, approximations

Low to moderate — arithmetic used only for counting or elimination

Key Preparation Resource

Arun Sharma's DI book; Cracku DI sectional tests; Mint data pages

Elites Grid (Shahzar Sir); 2IIM (Raghu Sir); previous CAT LR sets

Time Per Set (Approx.)

8–12 minutes depending on calculation load

8–12 minutes depending on constraint complexity

Best Strategy

Scan data format first; use approximation; avoid precise calculations where estimation suffices

Set up a grid or table before solving; identify the binding constraint first

TITA Questions

Present in most DI sets — always attempt

Present in most LR sets — always attempt

Common Mistake

Getting stuck on a calculation-heavy set instead of moving on

Misreading a constraint early and building the entire solution on a wrong assumption

CAT 2025 Examples

Scatter plot (Slot 2), Currency exchange table (Slot 3), Weighted average caselet (Slot 2)

Performance rating of employees (Slot 1), Four friends solving puzzles (Slot 3)

Overlap Zone

Logical DI sets — require both data analysis and constraint-based deduction

Data-heavy LR sets — require interpreting numerical information to apply logic