DI Syllabus

Detailed breakdown of Data Interpretation types and subcategories for CAT and other MBA entrance exams.

Data Interpretation Overview
Data Interpretation (DI) is a critical component of MBA entrance exams like CAT, XAT, IIFT, NMAT, and SNAP.

Data Interpretation tests your ability to analyze and interpret data presented in various formats such as tables, graphs, charts, and caselets. It evaluates your quantitative aptitude, analytical skills, and decision-making abilities.

In most MBA entrance exams, DI questions are presented as sets, where multiple questions are based on a single data set. The key to mastering DI is to develop the ability to quickly identify patterns, relationships, and insights from the given data.

DI Wizard covers all types of DI questions that appear in MBA entrance exams, with comprehensive practice sets, detailed explanations, and exam-specific strategies.

Bar Graphs
Data represented as rectangular bars with heights proportional to the values they represent.
Pie Charts
Circular statistical graphic divided into slices to illustrate numerical proportion.
Line Graphs
Data displayed as a series of data points connected by straight line segments.
Tables
Data arranged in rows and columns for easy reference and comparison.
Caselets
Short case studies with data requiring comprehensive analysis and interpretation.