Data Interpretation for CAT 2025 is the most important part of Data Interpretation & Logical Reasoning (DILR) section of CAT Exam. This section tests a candidate’s ability to analyze, interpret, and draw conclusions from a given numerical data presented in table/graph or other formats. The questions in CAT Data Interpretation section are typically based on tables, bar graphs, line charts, pie charts, caselets, and mixed data sets. Check Data Interpretation for CAT 2025 pattern, questions, syllabus, how to prepare and more.
Before we discuss how to prepare for CAT Data Interpretation Section, it is important to understand the overall CAT exam pattern and type of questions appeared in previous CAT exams. CAT 2024 Exam Pattern was same across all the three slots. Check table below. However, there were minor changes in section wise compositions.
CAT 2024 Exam Pattern for Slot 1, 2, 3
CAT Exam Components | No of Questions (Divided in MCQs & Non MCQs) | Sectional Time Limit (In Minutes) | Scoring Pattern (Negative Marking is only for MCQs) |
---|---|---|---|
Section-1: Verbal Ability & Reading Comprehension (VARC) | 24 | 40 | +3 for Correct; -1 for Incorrect; 0 for Not Attempted |
Section-2: Data Interpretation & Logical Reasoning (DILR) | 22 | 40 | +3 for Correct; -1 for Incorrect; 0 for Not Attempted |
Section-3: Quantitative Ability (QA) | 22 | 40 | +3 for Correct; -1 for Incorrect; 0 for Not Attempted |
Total | 68 | 120 | 198 |
Slot 1 CAT 2024 Data Interpretation and Logical Reasoning Section - Type of Questions
Slot 2 CAT 2024 Data Interpretation and Logical Reasoning Section - Type of Questions
Slot 3 CAT 2024 Data Interpretation and Logical Reasoning Section - Type of Questions
Area | Set Description | No. of Questions | Question Type |
---|---|---|---|
Data Interpretation | Stock price-based candlestick graph for 7 stocks | 4 | 3 MCQ, 1 TITA |
Data Interpretation | Bar graph showing 3 people visiting different countries | 4 | 2 MCQ, 2 TITA |
Logical Reasoning | Tournament of 6 teams split into two groups, teams play within & across groups | 5 | 5 TITA |
Logical Reasoning | Web surfers assigning thirty stars | 4 | 3 MCQ, 1 TITA |
Data Interpretation | Election between two candidates, comparatively lengthy set | 5 | 4 MCQ, 1 TITA |
Area | Set Description | No. of Questions | Question Type |
---|---|---|---|
Logical Reasoning | Rating - 8 Gymnasts | 5 | 2 MCQ 3 TITA |
Data Interpretation | 6 firms, PAT, Es, PRD - 2 graphs | 4 | 4 MCQ 0 TITA |
Logical Reasoning | Schematic diagram of walkways - Lake | 4 | 2 MCQ, 2 TITA |
Logical Reasoning | 1 to 10 numbers to be arranged in 10 slots with conditions | 5 | 2 MCQ, 3 TITA |
Data Interpretation | Ecommerce rating distribution - cumulative | 4 | 2 MCQ, 2 TITA |
Area | Set Description | No. of Questions | Question Type |
---|---|---|---|
Data Interpretation | Bar graph on App subscription | 4 | 4 MCQ |
Data Interpretation | Line graph on Temperature of a room with AC in power mode | 5 | 2 MCQ 3 TITA |
Logical Reasoning | Network of roads and ATMs | 4 | 4 TITA |
Logical Reasoning | Proteins, Carbohydrates in food items | 5 | 3 MCQ, 2 TITA |
Data Interpretation | Table on GDP of 10 countries | 4 | 3 MCQ, 1 TITA |
Total | Data Interpretation and Logical Reasoning | 22 | MCQ and TITA |
After understanding CAT exam pattern and type of questions appearing in DI section, lets understand in detail what is CAT Data Interpretation Section?
Data Interpretation in the CAT exam is a key part of the Data Interpretation and Logical Reasoning (DILR) section. CAT Data Interpretation section tests a candidate’s ability to analyze, interpret, and draw conclusions from a given numerical data presented in table/graph or other formats. CAT DI section requires strong logical reasoning and calculation skills, and a basic understanding of patterns, trends, and relationships. The questions in Data Interpretation are typically based on tables, bar graphs, line charts, pie charts, caselets, and mixed data sets. Candidates must perform mathematical operations like percentage calculations, ratio comparisons, and approximations to find answers. In other words, CAT Data Interpretation section is designed to check if candidates interested in MBA will be able to understand data in different subjects like economics, finance and marketing and others.
CAT Data Interpretation syllabus 2025 includes topics that test a candidate’s ability to understand and interpret data in different forms. While there is no fixed CAT DI LR syllabus, the key topics covered in this section are in table below.
Topic | Description |
---|---|
Data Tables | Numerical data presented in tabular format, requiring calculations like percentages, ratios, and averages. |
Bar Graphs | Comparative data displayed using vertical or horizontal bars, requiring analysis of trends and patterns. |
Line Charts | Data trends represented over time, requiring interpretation of growth rates, slopes, and intersections. |
Pie Charts | Data shown as a percentage of a whole, requiring calculations related to proportions and comparisons. |
Pie Charts | Overlapping sets requiring calculations related to union, intersection, and complements. |
Venn Diagrams | Overlapping sets requiring calculations related to union, intersection, and complements. |
Mixed Graphs | Combination of two or more types of data representations, requiring multi-perspective analysis. |
Data Sufficiency | Questions that test whether the given data is sufficient to answer a question rather than solving it directly. |
Logical DI | Complex reasoning-based DI sets that require both mathematical and logical deduction. |
CAT Data Interpretation Preparation Strategy involves building mathematical calculation skills and understating different formats of data presentation like graphs and charts. Data Interpretation for CAT 2025 preparation tips are as follows:
Now that you have understood the type of questions and preparation approach, read about best CAT Data Interpretation preparation books and material.
“For DILR, I completed the Arun Sharma book end to end. It really improved my way of tackling the sets. I used to get my doubts clarified if I couldn’t solve a set. Again, I practiced via sectional tests as well, as you need to monitor the time as well. I took coaching from TIME, so their booklets were useful as well to solve high level sets. DILR needs a lot of practice. You need to be able to formulate the right approach” - Srishti Yadav, CAT Topper 99.69%, IIM Kozhikode MBA 2023-25
“Out of 80 pager collation of all DILR cases covering different types of cases that can come up in CAT, I tried to solve them all. With this, I also understood which cases to select and which to avoid (really important as we typically end up solving 1-2 cases in DILR)” – Pooja Sudhakar, CAT Topper 99.11%, SPJIMR PGDM 2023-25
“My key focus areas in DILR preparation were Data Familiarity to get comfortable with different types of data sets and formats; Solved a variety of DILR sets from previous CAT papers; Focused on solving sets quickly while maintaining accuracy; Learned to classify and organize data effectively; Enhanced logical deduction skills for complex problems; Collaborated with peers to solve DILR sets together; Took full-length mock tests to simulate real exam conditions and Allocated time wisely to different sets based on difficulty levels” - Akshat Agarwal, CAT Topper 99.44%, IIT Delhi MBA 2023-25
Many other CAT toppers with 99 and 100 percentile have shared that they found Data Interpretation was their weak area while preparing for CAT. But they improved a lot in it with consistent preparation. Sharing with MBAUniverse.com, these CAT toppers spoke about their preparation strategy for Data Interpretation:
How to Prepare Data Interpretation for CAT: Topper Tips by Rachit Saran, (CAT 99.04 %)
CAT Topper Rachit Saran explained how he cracked Data Interpretation, “I believe that the difficulty level of this section is usually overrated. I would start with the set that I’m most comfortable with and I would just read carefully and follow the instructions word-by-word. Next, I would try to follow my instincts, use hit and trail, make cases, and eliminate the erroneous ones. Again, practice is what did wonders here. Also, do not be scared of using that on-screen calculator, just make it a friend.”
How to Prepare Data Interpretation for CAT: Topper Tips by Rohan Joshi (99.63% in CAT)
Sharing with MBAUniverse.com, CAT Topper Rohan Joshi (99.63 % in CAT 2017) explained how he cracked DILR section, “CAT is known to ask trickiest questions in this section. I regularly solved different puzzles and Sudoku’s to enhance my logical thinking ability. Gave many sectionals to test my preparation.”
How to Prepare Data Interpretation for CAT: Topper Tips by Abhishek Kumar Pandey (99.63% in CAT)
Speaking to MBAUniverse.com, CAT Topper Abhishek Kumar Pandey (99.63 % in CAT 2017) explained, “I was weak at the LRDI section. I tried to improve by solving as many varieties of LRs and DIs as possible and identify the kind of sets at which I was good. This strategy helped in improving my mock scores.”
How to Prepare Data Interpretation for CAT: Topper Tips by Rachit Gupta, (99.83% in CAT) CAT topper with 99.83 percentile, Rachit Gupta and IIM Lucknow pass out of 2017-19 batch shared with MBAUniverse.com, “For LR/DI, I again practiced questions of each type and emphasized more on wherever I was not so confident.”
Sample DI based questions, previous question papers, DI based Mock tests are the best tool to prepare for Data Interpretation in CAT. Improving on DI Questions and Answers is important because if you do well in the Data Interpretation for CAT, you will score well in the exam. Below are shared some of the sample DI Problem sets followed by questions and answers based on latest CAT exam question papers.
Data Interpretation for CAT Question Set-1: Sample Data Interpretation Problem with Questions and Answers
Five restaurants, coded R1, R2, R3, R4 and R5 gave integer ratings to five gig workers –Ullas, Vasu, Waman, Xavier and Yusuf, on a scale of 1 to 5.
The means of the ratings given by R1, R2, R3, R4 and R5 were 3.4, 2.2, 3.8, 2.8 and 3.4respectively.
The summary statistics of these ratings for the five workers is given below.
-
|
Ullas
|
Vasu
|
Waman
|
Xavier
|
Yusuf
|
Mean rating
|
2.2
|
3.8
|
3.4
|
3.6
|
2.6
|
Median rating
|
2
|
4
|
4
|
4
|
3
|
Modal rating
|
2
|
4
|
5
|
5
|
1 and 4
|
Range of rating*
|
3
|
3
|
4
|
4
|
3
|
* Range of ratings is defined as the difference between the maximum and minimum ratingsawarded to a worker.
The following is partial information about ratings of 1 and 5 awarded by the restaurants tothe workers.
(a) R1 awarded a rating of 5 to Waman, as did R2 to Xavier, R3 to Waman and Xavier, andR5 to Vasu.
(b) R1 awarded a rating of 1 to Ullas, as did R2 to Waman and Yusuf, and R3 to Yusuf.
Q.1: How many individual ratings cannot be determined from the above information?
Case Sensitivity: No
Answer Type: Equal
Q.2: To how many workers did R2 give a rating of 4?
Case Sensitivity: No
Answer Type: Equal
Q.3: What rating did R1 give to Xavier?
Case Sensitivity: No
Answer Type: Equal
Q.4: What is the median of the ratings given by R3 to the five workers?
Case Sensitivity: No
Answer Type: Equal
Q.5: Which among the following restaurants gave its median rating to exactly one of the workers?
Ans Options
1. R3
2. R5
3. R2
4. R4
Answer Grid:
Q1
|
Q2
|
Q3
|
Q4
|
Q5
|
0 (Non MCQ)
|
0 (Non MCQ)
|
3 (Non MCQ)
|
4 (Non MCQ)
|
4 (MCQ)
|
Data Interpretation for CAT Question Set-2: Sample Data Interpretation Problem Set with Questions and Answers
Direction for questions 1 – 4: Read the information given below and solve the questions based on it.
Following table gives the result of dueNorth soccer competition. Matches were played round robin (each team playing against another once) and the teams participated were Bihar, Punjab and Haryana. The table has some data missing:
|
Match played
|
Won
|
Drawn
|
Lost
|
Goals for
|
Goals against
|
Bihar
|
2
|
|
1
|
|
2
|
4
|
Punjab
|
2
|
|
|
|
3
|
7
|
Haryana
|
|
|
|
|
|
1
|
Q1. What is the total number of matches played in the competition?
1. 3 2. 6 3. 9 4. None of these
Q2. What did the score card read in favor of Punjab in Punjab-Haryana match?
1. 2-5 2. 1-5 3. 1-4 4. 1-6
3.How many matches did Punjab lose?
1. 0 2. 1 3. 2 4. 0 or 1
4.How many goals did Haryana score?
1. 5 2. 1 3. 3 4. 7
Quick tips to Solve DI CAT Questions
You may find one question set with 4-5 questions based on games. You must know the quick and accurate approach to solve these question sets.
In this set of questions, we are 1st required to calculate total number of matches. Let us understand the scheme of matches in a Round Robin League tournament.
Method 1 - In a round robin league tournament, each team plays against other team once. So if there are five teams A, B, C, D and E (let us assume), total number of matches are going to be the following:
AB, AC, AD, AE
BC, BD, BE
CD, CE,
DE
Hence total number of matches = 4 + 3 + 2 + 1 = 10.
In general, if there are n teams, then total number of matches = (n-1) + (n-2)+….+3 + 2 + 1 = (n(n-1))/2
Method 2 - each team plays one match with every other team. So, number of matches played by each team = 4. So total number of matches = 5 teams × 4 matches = 20 matches. But each of these matches has been counted twice – for example match AB and BA both have been counted.
So total number of unique matches = 20/2= 10 matches.
Method 3 – Using Permutation and Combination
There is a match for every set of two players. So, if there are n players, total number of matches = nC2.
In this question, there are three teams – Bihar, Punjab and Haryana.
Hence total number of matches = 2 + 1 (Using method 1)
This is also equal to (n(n-1))/2 = (3(3-1))/2 = 3 matches.
Hence answer to Q1.Total number of matches played in the competition = 3 matches. Hence option (1) is the answer.
SECONDLY,
Total Goals for by all the teams = Total Goals Against all the teams
Now total goals against = 4 + 7 + 1 = 12 goals
This gives us the number of Goals for Haryana = 12 – (2+3) = 7
|
Match played
|
Won
|
Drawn
|
Lost
|
Goals for
|
Goals against
|
Bihar
|
2
|
|
1
|
|
2
|
4
|
Punjab
|
2
|
|
|
|
3
|
7
|
Haryana
|
2
|
|
|
|
7
|
1
|
Now, Bihar has drawn one of its matches, so it has either won or lost the other match.
Since it has drawn one of its two matches, possible score for Bihar is:
|
Match 1 (Draw)
|
Match 2 (Lost)
|
Hypothesis
|
Possibility 1
|
0--0
|
2--4
|
Hypothesis 1
|
Possibility 2
|
1--1
|
1--3
|
Hypothesis 2
|
Possibility 3
|
2--2
|
0--2
|
Hypothesis 3
|
2-2 = Goals for 2 and goals against 2.
It can be seen that Bihar is losing its second match.
Testing Hypothesis 1:
Hereafter, we will have to go ahead with hypothesis 1. Using the conditions given, then, we will verify if the assumptions that we have assumed are correct or not.
Assume that Bihar has its match drawn with Punjab and lost its match against Haryana.
Since Punjab and Haryana both have played one match with Bihar at this stage, total number of matches occurred so far = 2. And next match will be between Punjab and Haryana.
Using the score card of Punjab – Goals for 3 and Goals against 7.
Since one of its matches was drawn with Bihar (score 0 – 0), hence score of 2nd match against Haryana would be = 3-7
|
Match 1 (Drawn with Bihar)
|
Match 2 (Lost to Haryana )
|
Punjab
|
0--0
|
3--7
|
Now Finally, we will have to evaluate if the goals for / against obtained in two matches against Haryana (one against Bihar and another against Punjab) support the figure given in the original table given in the question.
Bihar’s score against Haryana = 2 – 4 Þ Score read in favour of Haryana = 4 – 2 (i.e. Haryana scored 4 goals and Bihar scored 2 goals) ---------------------(1)
Punjab’s score against Haryana = 3 – 7 Þ Score read in favour of Haryana = 7 -3 (i.e. Haryana scored 7 goals and Punjab scored 3 goals) ------------------(2)
Using the information given above in (1) and (2):
Haryana scored a total of 4 + 7 = 11 goals against these two teams. Looking at the information given in the table, Haryana has scored only 7 goals against both the teams taken together.
So, our hypothesis that Bihar drawn its match against Punjab with 0-0 is wrong.
Testing Hypothesis 2:
Similarly we will test our 2nd Hypothesis that Bihar drawn its match against Punjab with 1-1.
Testing Hypothesis 3:
Now checking the hypothesis that Bihar drawn its match against Punjab with score 2-2.
Using the score card of Punjab – Goals for 3 and Goals against 7.
Since one of its matches was drawn with Bihar (score 0 – 0), hence score of 2nd match against Haryana would be = 3-7
|
Match 1 (Drawn with Bihar)
|
Match 2 (Lost to Haryana )
|
Punjab
|
2--2
|
1—5
|
Bihar’s score against Haryana = 0 – 2 Þ Score read in favour of Haryana = 2 – 0 (i.e. Haryana scored 2 goals and Bihar scored 0 goal) ---------------------(1)
Punjab’s score against Haryana = 1 – 5 Þ Score read in favour of Haryana = 5 -1 (i.e. Haryana scored 5 goals and Punjab scored 1 goal) ------------------(2)
Using the information given above in (1) and (2):
Haryana scored a total of 5 + 2 = 7 goals against these two teams. Looking at the information given in the table, Haryana has scored 7 goals against both the teams taken together. At the same time, Punjab and Bihar taken together have scored 0 + 1 = 1 goal against Haryana. This also suits the tally given in the table (in original question).
So Hypothesis 3 is correct.
Hence the final table is like:
|
Match played
|
Won
|
Drawn
|
Lost
|
Goals for
|
Goals against
|
Bihar
|
2
|
0
|
1
|
1
|
2
|
4
|
Punjab
|
2
|
0
|
1
|
1
|
3
|
7
|
Haryana
|
2
|
2
|
0
|
0
|
7
|
1
|
Now all the questions from Q2 to Q4 can be answered.
Answer Grid:
Q1
|
Q2
|
Q3
|
Q4
|
1
|
2
|
2
|
4
|
Conclusion
Data Interpretation for CAT 2025 is the most important part of Data Interpretation & Logical Reasoning (DILR) section of CAT Exam. This section tests a candidate’s ability to analyze, interpret, and draw conclusions from a given numerical data presented in table/graph or other formats. The questions in CAT Data Interpretation section are typically based on tables, bar graphs, line charts, pie charts, caselets, and mixed data sets. Check Data Interpretation for CAT 2025 pattern, questions, syllabus, how to prepare and more in the above article.
Also Read
|
|