Data Interpretation is an important part of the Quantitative Aptitude section in many competitive exams. It tests the ability to read, understand, and draw conclusions from data presented in the form ...

This pie chart illustrates the distribution of visualization tools in the FigureYa resource package across three dimensions: research type (outer ring), analysis method (middle ring), and output ...

The CAT exam contains three sections, and Data Interpretation & Logical Reasoning (DILR) is one of them. This section contains 20 multiple-choice questions(MCQ) and Type in the Answer (TITA) questions ...