Updated On : May 16, 2023
Summary: As per the CAT exam weightage, 20 questions from Data Interpretation and Logical Reasoning (DI & LR) can appear in the exam, carrying a total of 60 marks. Here is an article on how to prepare for data interpretation for CAT?
Data interpretation is an important section of the CAT exam. This section tests the ability to read, analyse and interpret data presented in tables, graphs, charts and other diagrams.
To score well in this section, you must prepare adequately!
This article will discuss the essential steps for preparing for data interpretation for the CAT exam and provide a few tips to help make the process easier.
The CAT Exam's DI portion evaluates your ability to answer logic-based questions.
Tables and charts are used in the Data Interpretation section of the CAT exam, and candidates must assess the data in accordance with the questions. Of the three portions, the DI is anticipated to be the most challenging.
Practise the topics below in the table.
Important Topics | |
Tables | Line Chart |
Venn Diagram | Pie Chart |
Scatter Plot | Radar Chart |
Column Graph | Bar Graph |
Routes and Network Radar Chart | Bubble Chart |
Data Caselets - Reasoning-Based DI | - |
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Check the weightage of this section in the table below.
CAT Sections | Number of Questions | Marks Per Question | CAT Negative Marking (Only MCQ) |
DILR | 20 | 3 | -1 |
Each right answer carries 3 marks, and every wrong answer carries -1.
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Check the books below to ace the preparation for this section.
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Mental calculation is really crucial.
To prepare for the CAT, candidates should concentrate on speeding up their mental calculations.
Tables and simple computations will boost the ability to tackle CAT Data Interpretation problems.
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Most applicants attempt Data Interpretation for the CAT last. When attempting the set, don't take a chance or assume that the answer will be clear.
You should "understand" the data rather than "blindly solving" it.
Get the reasoning behind the DI problem appearing in the exam. Experts advise not to attempt all the questions but rather choose the ones that can be solved easily and faster.
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Previous years' papers and mocks can help in Data interpretation by providing valuable insight into the types of questions that are likely to appear on the exam.
This can help you identify common trends and patterns within the data presented, leading to solving them more accurately.
Additionally, by solving questions from previous years, students can become more familiar with the exam format, which can help to be better prepared for the actual exam day.
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Students should improve their accuracy by working through problems involving ranks, arrangements, and matrices.
To prepare for this section, you should solve Sudoku or other puzzles from study guides and other internet portals.
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Familiarise yourself with different data interpretation questions, such as line graphs, pie charts, bar graphs and tables. Knowing how to read and understand data interpretation questions is also important. It is important to practice problem-solving and analytical skills to make sense of the data presented in the questions. Build up the speed and accuracy essential to solve DI problems.
Frequently Asked Questions
How to prepare for Data Interpretation for CAT?
To prepare for Data Interpretation for the CAT, you should be familiar with basic concepts such as percentages, ratios, averages, and data representation. You should also be able to interpret graphs and tables and apply basic mathematical operations such as addition, subtraction, multiplication, and division.
What strategies can I use to help me prepare for Data Interpretation for the CAT?
How can I improve my speed in Data Interpretation for the CAT?
You should practice solving questions within the time limit to improve your speed in Data Interpretation for the CAT. Additionally, you should focus on simplifying the problem and breaking it down into smaller parts. You should also develop a habit of reading and understanding the question before attempting to answer it.
What resources can I use to help me prepare for Data Interpretation for the CAT?
How important is data interpretation in the CAT?