Data Interpretation
Tables, bar charts, pie charts, line graphs
Data Interpretation (DI) is the process of making sense of numerical data that has been collected, analysed and presented. In aptitude exams, DI questions typically present data in the form of tables, bar charts, pie charts, line graphs, or caselets, and test your ability to extract relevant information, perform calculations, and draw logical conclusions.
Key formulas and rules
Key concepts
Types of Data Presentation
Tables: Data arranged in rows and columns, best for exact values and comparisons. Bar Charts: Vertical or horizontal bars representing quantities, good for comparing discrete categories. Pie Charts: Circular representation showing parts of a whole as sectors, ideal for percentage distributions. Line Graphs: Points connected by lines showing trends over time, perfect for time-series analysis. Caselets: Paragraph-based data requiring extraction and organisation before solving.
Percentage Calculations in DI
Most DI questions revolve around percentages. Key operations include: finding what percentage one value is of another, calculating percentage increase/decrease, determining percentage point differences, and computing successive percentage changes. Always identify the base (reference) value correctly — a common error is using the wrong denominator. For pie charts, remember all sectors sum to 100% or 360 deg.