Last updated: July 31, 2026
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The Data Interpretation and Logical Reasoning section of CAT tests how effectively candidates organise information, identify constraints, interpret data, and make deductions under time pressure.
The official CAT 2026 portal is live, and CAT 2026 is scheduled for November 29, 2026. Candidates should continue checking the official CAT website for any change to the test structure or instructions.
The IIMs do not publish a fixed, topic-by-topic CAT DILR syllabus. Preparation is therefore based on previous CAT papers and recurring set formats. Based on the recent pattern, candidates should prepare for approximately 22 DILR questions in 40 minutes, generally organised into five sets containing a mix of MCQs and TITA questions. The exact distribution may change.
The following table reflects the expected CAT 2026 pattern based on recent CAT papers and current exam-pattern guidance.
| Particular | Expected DILR Pattern |
|---|---|
| Section | Data Interpretation and Logical Reasoning |
| Number of questions | Approximately 22 |
| Number of sets | Usually 5 |
| Sectional time | 40 minutes |
| Maximum marks | 66 |
| Question types | MCQ and TITA |
| Marks for a correct answer | +3 |
| Negative marking | −1 for an incorrect MCQ |
| TITA negative marking | No negative marking |
Recent papers have included five DILR sets with different numbers of questions per set rather than four sets containing exactly five questions each. Candidates should treat this as a recent pattern, not a guaranteed blueprint for every CAT paper.
The IIMs do not prescribe a chapter-by-chapter syllabus for the DILR section. The topic list used by preparation institutes is compiled from previous-year CAT papers and recurring problem-solving formats.
This distinction matters because CAT does not necessarily test topics in isolated form. A single set may combine a table, percentage calculations, scheduling conditions, rankings, and logical deductions.
Candidates should therefore prepare by set type and reasoning skill, not merely by memorising a list of chapter names.
Data Interpretation questions test the ability to extract useful information from numerical, tabular, textual, or visual data.
Table-based sets may require candidates to:
Caselets present data through paragraphs rather than ready-made charts. Candidates may need to convert the information into a table, grid, or diagram before answering the questions.
Prepare for:
Line-graph sets commonly involve trends, growth, change over time, and comparisons between two or more variables.
Pie-chart questions may require conversion between percentages, fractions, angles, and absolute values. They may also combine information from multiple charts.
A set may use a combination of tables, bar graphs, line graphs, or textual conditions. These sets test whether the candidate can connect information presented in different formats.
In these sets, some values are not provided directly. Candidates must determine the missing entries using totals, ratios, averages, or logical constraints before solving the questions.
These questions involve overlapping groups, inclusion and exclusion, maximum and minimum membership, and incomplete information.
CAT may occasionally use non-standard diagrams, grids, networks, or visual representations. The objective is not to test knowledge of a particular chart name but the ability to understand an unfamiliar representation calmly.
Logical Reasoning questions require candidates to organise conditions, test possibilities, and draw valid conclusions.
Important arrangement formats include:
Standalone seating-arrangement questions are less important than CAT-style sets that combine arrangements with several additional conditions.
These sets ask candidates to divide people, products, events, or resources into groups while satisfying multiple restrictions.
Typical conditions include:
Selection sets involve choosing a valid team, committee, portfolio, or combination from a larger group.
Scheduling questions may involve:
Common formats include:
These questions require candidates to determine relative positions, sequences, preferences, or performance rankings.
Network-based questions may involve roads, flights, pipelines, communication paths, or movement between locations. Candidates may need to find valid, shortest, longest, or restricted routes.
Some sets assign one of two or more states to each person or object. Examples include true or false statements, yes or no responses, permitted or prohibited choices, and alternating behaviour.
Grid-based sets require candidates to match entities across several categories. A carefully labelled table is usually more reliable than trying to hold the conditions mentally.
Many modern DILR sets cannot be classified as purely Data Interpretation or purely Logical Reasoning. For example, a tournament set may require logical scheduling as well as calculations from a points table.
This means candidates should not prepare DI and LR as completely separate subjects. Mixed-set practice is essential after the basic formats have been learned.
DILR is expected to contribute 22 of the paper's 68 questions and 66 of its 204 marks, or approximately one-third of the overall exam. The exact question distribution remains subject to change.
There is no official topic-wise weightage. A set may also belong to more than one category, making exact percentages misleading.
A more useful preparation framework is:
| Priority | Set Types |
|---|---|
| High priority | Tables and caselets, arrangements, grouping, scheduling, games and tournaments, mixed DI-LR sets |
| Medium priority | Charts, Venn diagrams, selection, rankings, missing data, routes and networks |
| Supplementary practice | Binary logic, unusual visual formats, uncommon multi-layer puzzles |
"High priority" does not mean that these topics are guaranteed to appear. It means that they develop reasoning and representation skills that transfer across many CAT-style sets.
Once the main table, grid, or diagram has been completed, the answer can be read or calculated directly from the representation.
These questions add a temporary condition, often using wording such as "if," "suppose," or "in case." Keep the original diagram unchanged and test the new condition separately.
These questions require candidates to distinguish between:
These require testing the extreme valid values allowed by the conditions. Constructing boundary cases is usually more effective than relying on intuition.
Some questions ask how many schedules, arrangements, routes, or combinations are possible. Avoid counting until all restrictions have been incorporated.
There is no fixed number of solved sets that guarantees a particular percentile. The required score changes with the difficulty of the paper, the slot, candidate performance, and the scoring process.
A better objective is to:
For many candidates, two accurately solved sets are a practical initial benchmark in sectionals. Stronger candidates can progressively target additional questions or sets. This should be treated as a preparation target, not a percentile promise.
Set selection is a separate skill and should be measured during every sectional test and mock.
Use the first three to four minutes to review all sets. Look for:
Do not select a set only because its topic looks familiar. A familiar tournament set may be harder than an unfamiliar but well-structured table.
Classify each set as:
After beginning a set, ask:
For every set, record:
| Review Question | Example Entry |
|---|---|
| Initial ranking | Second choice |
| Time invested | 9 minutes |
| Progress made | Grid created; two positions fixed |
| Reason for leaving | Too many unresolved cases |
| Better decision | Should have attempted Set 4 first |
This turns set selection from guesswork into a repeatable exam skill.
Focus on one broad set type at a time.
The objective is accuracy and clean representation, not speed.
Classify errors as:
Do not treat solution reading as set practice. After reviewing a solution, close it and reconstruct the reasoning independently.
In the final weeks, quality of analysis matters more than the raw number of sets attempted.
| Activity | Suggested Frequency |
|---|---|
| Untimed or moderately timed sets | 10–14 sets per week |
| DILR sectional tests | 1–2 per week initially; 2–3 later |
| Full-length CAT mocks | According to the broader CAT study plan |
| Error-log review | Once per week |
| Previous failed-set reattempts | 2–3 per week |
| Mental-math revision | 10–15 minutes on most days |
The number of sets should be adjusted according to preparation stage and available time. Completing fewer sets with detailed analysis is more valuable than rushing through a large collection.
DILR is not a formula-heavy section, but basic calculation fluency helps in data-based sets.
Candidates should be comfortable with:
The objective is not to perform every calculation mentally. It is to recognise when an answer can be estimated or simplified without lengthy arithmetic.
Topic-wise learning is useful initially, but the exam presents mixed and unfamiliar sets. Transition to mixed practice early enough.
Trying to remember every condition mentally increases the risk of missing or reversing information.
Time already spent is not a reason to spend more. Continue only when the set is producing structured progress.
A solution may look obvious after someone else has organised the information. Reconstruct it independently to test whether the method has been learned.
The best number of attempts depends on the paper. A difficult section may reward fewer accurate attempts, while an easier section may demand more.
Record set order, time spent, errors, and abandonment decisions. Patterns across several mocks are more reliable than memory.
DILR improvement should be measured through decision quality as well as final scores. A student who correctly rejects an unproductive set after a disciplined scan may have made a better decision than a student who eventually solves the same set after spending half the section on it.
The most useful mock-analysis questions are:
No fixed, topic-by-topic DILR syllabus is published by the IIMs. The preparation syllabus is based on recurring formats in previous CAT papers.
Based on the recent pattern, approximately 22 DILR questions are expected. Candidates should verify the final structure through official CAT updates and the official mock test.
Recent papers have generally used five sets, often with different numbers of questions per set. The exact distribution can change.
Incorrect MCQs generally attract a one-mark penalty. TITA questions do not carry negative marking, while correct answers receive three marks.
Tables and caselets, arrangements, grouping, scheduling, games and tournaments, charts, and mixed DI-LR sets deserve substantial practice. However, CAT rewards familiarity with varied set structures rather than dependence on a small group of predicted topics.
DILR requires basic arithmetic, but advanced mathematics is usually not the main challenge. Representation, constraint handling, set selection, and logical deduction are more important.
Solve varied sets consistently, create clear diagrams, analyse failed attempts, practise set selection, and redo difficult sets without using the solution. Improvement usually comes from better decisions and representations rather than collecting shortcuts.
The CAT DILR syllabus 2026 should be treated as a collection of reasoning skills and recurring set formats, not as a fixed list of chapters. Build strong representations, practise mixed sets, develop a disciplined selection process, and analyse every mock in detail.
The goal is not to solve every set. It is to identify the right opportunities, solve them accurately, and avoid allowing one difficult set to consume the section.