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🧩 DILR

Data Interpretation

Tables, bar graphs, line graphs, pie charts. Read data carefully and compute values under time pressure.

59%
of DILR

Why This Topic Matters

Total PYQs📊
183
of 1002 · 2021–2025
Years featured📅
5/5
of recent CAT years
% of DILR📈
~59%
of section questions
Est. hours⏱️
~40h
to master
~6/20
2021
10/20
2022
~17/20
2023
~16/22
2024
~14/22
2025

What it is — and why it dominates DILR

Data Interpretation gives you data — tables, bar/line/pie charts, caselets, networks, or a mix — and asks questions that require reading it precisely and calculating fast. It is the largest DILR topic by far: about 14 of the 22 DILR questions in a recent slot (~59% of the section across 2021–2025). Modern CAT sets are usually DI fused with logic — you must first deduce missing values, then compute. Two skills decide your score: choosing the right sets and calculating without a calculator.

What CAT's DI sets were actually made of

Format20212022202320242025Avg/slot
Tables5.05.04.06.34.1
Bar charts2.71.72.72.71.9
Scatter plots1.71.31.30.9
Venn / set-overlap1.71.30.6
Logic-flavoured DI (arrangement/scheduling style)11.72.3
Mixed charts & graphs1.31.30.5
Newer one-offs: line graph, network/flow, geometry-based, weighted average, ratings3.04.71.71.9
🎯PYQ Evidence

Tables are the constant; the rest rotates. Every year since 2022 the single biggest DI block has been plain tables (about 5, 5, 4 and 6 per slot) — usually tables with missing values you must deduce. Around that core, CAT keeps auditioning new formats: network/flow and geometry-based sets in 2024, a weighted-average set in 2025, scatter plots in three of the last four years. The lesson: master table-deduction deeply, and practise reading unfamiliar formats calmly — a new chart type is still just rows and ratios wearing a costume.

First 90 seconds: triage every set

Do not start solving the first set you see. Scan all of them and build a solve order.

  1. Read all sets briefly before committing to any one.
  2. Rate each on: readability, number of variables, type of constraints, and likely solve time.
  3. Numeric, additive constraints ("totals are…", "each is at least…") signal determinate, faster sets. Vague, conditional constraints signal slow, trap-prone sets.
  4. Short text ≠ easy. Under-constrained sets force heavy enumeration.
  5. Commit to a written solve order — easiest first. Bank the marks you're sure of before gambling time.

Know when to walk away

⚠️CAT Trap

The sunk-cost trap. Minutes already spent are irrelevant to whether you should stay — decide on the future only. Set a 3–4 minute traction checkpoint on every set; no grip by then → leave. Before leaving, harvest the easy sub-questions — many CAT sets (especially 4-question table sets) have one direct-reading question you can bank without the full solve.

  • Cap first-pass time per set (~9–10 min) and protect the whole-section budget.

Calculate like the toppers: approximate

Most DI questions ask for the nearest option, so exact arithmetic is wasted effort. Convert fractions to percentages on sight:

Fraction%Fraction%
1/250%1/812.5%
1/333.3%1/911.1%
1/425%1/119.1%
1/520%1/128.3%
1/616.7%1/166.25%
1/714.3%1/205%
Shortcut

Approximation moves: round to 1–2 significant figures, compare ratios by cross-multiplying instead of dividing, and use "growth ≈ difference ÷ base." If options are far apart, estimate boldly; only compute precisely when they're close.

A worked example

A company's revenue (₹ crore): 2021 = 40, 2022 = 50, 2023 = 45, 2024 = 60.

402021 502022 452023 602024

Q. By what percentage did revenue grow from 2022 to 2024? Growth = (60 − 50) ÷ 50 = 10/50 = 1/5 = 20%. (Reading the table from memory would risk using 45; always look back at the chart.)

Q. Which year saw the highest year-on-year growth? 2021→22: +25%; 2022→23: −10%; 2023→24: 15/45 = +33%. Highest is 2023→2024.

The modern CAT set archetypes

Set typeThe key to it
Tables with missing valuesDeduce the blanks from row/column totals first, then answer
Games & TournamentsMatch counts + scoring rule; tie-breakers carry marks
SchedulingTime-vs-resource grid with precedence and capacity
Routes & NetworksEnumerate every complete route — never trust a greedy path
Distribution / SelectionAnchor the total; squeeze with min/max and "all distinct"
Weighted average / index setsWrite the definition formula once, reuse it for every question

Watch this

2IIM's director (a 4-time CAT 100-percentiler) on how to prepare for DI:

🎯PYQ Evidence
In quantitative DI sets, name the one identity that links every cell, then write each clue as an equation. : the unlocking idea is that a ticket fills one seat on every segment it crosses, so occupancy on a segment = (seats used)/200, and each segment's seat count is a fixed sum of the ticket types passing through it — the percentage clues (C-D at 95% = 190 seats) then become equations you solve for the unknown ticket counts. : two charts must be read together — the bar chart gives the tariff amount and the radar chart the rate — joined by tariff amount = rate x import volume, so import volume = amount / rate, and "exports from X to Y equal Y's imports from X" lets you recover any trade flow with a single division. Find that bridging relation first and the table fills itself.

Checklist

  • Scan all sets first; rate and order them easiest-first
  • Prefer sets with numeric, additive constraints
  • Approximate — fractions to %, compare by cross-multiplying
  • Read values back from the chart, never from memory
  • Set a 3–4 min checkpoint; harvest easy sub-questions before leaving
  • Mind units, footnotes, and "all distinct" conditions

Sample Questions

45 practice questions

Context

The table below shows quarterly sales (in thousands of units) of four products of a company across four quarters of a year.

ProductQ1Q2Q3Q4
Alpha120150180210
Beta200180160140
Gamma90110130150
Delta150150150150
TITAEasy

What were the total sales (in thousands of units) of all four products in Q3?

Your answer
Context

The table below shows quarterly sales (in thousands of units) of four products of a company across four quarters of a year.

ProductQ1Q2Q3Q4
Alpha120150180210
Beta200180160140
Gamma90110130150
Delta150150150150
Easy

Which product had the highest total annual sales?

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CAT PYQ Spotlight

Actual CAT questions on this topic

Context

A train travels from Station A to Station E, passing through stations B, C, and D, in that order. The train has a seating capacity of 200. A ticket may be booked from any station to any other station ahead on the route, but not to any earlier station. A ticket from one station to another reserves one seat on every intermediate segment of the route. For example, a ticket from B to E reserves a seat in the intermediate segments B–C, C–D, and D–E. The occupancy factor for a segment is the total number of seats reserved in the segment as a percentage of the seating capacity. The total number of seats reserved for any segment cannot exceed 200.

The following information is known:

1. Segment C–D had an occupancy factor of 95%. Only segment B–C had a higher occupancy factor.

2. Exactly 40 tickets were booked from B to C and 30 tickets were booked from B to E.

3. Among the seats reserved on segment D–E, exactly four-sevenths were from stations before C.

4. The number of tickets booked from A to C was equal to that booked from A to E, and it was higher than that from B to E.

5. No tickets were booked from A to B, from B to D, and from D to E.

6. The number of tickets booked for any segment was a multiple of 10.

CAT 2025 · Slot 1
Hard

What was the occupancy factor for segment D–E?

Context

A train travels from Station A to Station E, passing through stations B, C, and D, in that order. The train has a seating capacity of 200. A ticket may be booked from any station to any other station ahead on the route, but not to any earlier station. A ticket from one station to another reserves one seat on every intermediate segment of the route. For example, a ticket from B to E reserves a seat in the intermediate segments B–C, C–D, and D–E. The occupancy factor for a segment is the total number of seats reserved in the segment as a percentage of the seating capacity. The total number of seats reserved for any segment cannot exceed 200.

The following information is known:

1. Segment C–D had an occupancy factor of 95%. Only segment B–C had a higher occupancy factor.

2. Exactly 40 tickets were booked from B to C and 30 tickets were booked from B to E.

3. Among the seats reserved on segment D–E, exactly four-sevenths were from stations before C.

4. The number of tickets booked from A to C was equal to that booked from A to E, and it was higher than that from B to E.

5. No tickets were booked from A to B, from B to D, and from D to E.

6. The number of tickets booked for any segment was a multiple of 10.

CAT 2025 · Slot 1
TITAHard

How many tickets were booked from Station A to Station E?

Your answer

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