PU MET 2026 Data Interpretation PYQ: Tables, Pie Charts and Graphs
This set has the Data Interpretation and Problem Solving questions from PU MET 2026, built on sales tables, twin pie charts, a line graph, paired bar graphs and a multi-column publishing table. It tests percentages, ratios, averages and growth rates read from data. Aptitude360 includes a worked solution for every question.
What the PU MET 2026 DI section tests
- Tables: product sales across years, totals, year-on-year percentage change, highest growth
- Pie charts: course-wise student shares combined with a separate girls' distribution, boy-girl ratios, matching counts
- Line graph: percentage rise and fall in passed students, approximate averages over chosen years
- Bar graphs: raw material investment compared with sales value, year-wise differences and ratios
- Composite table: books published, academic to non-academic ratios, distribution percentages, books per distributor
Key formulas for data interpretation
- Percentage change: \( \dfrac{\text{New}-\text{Old}}{\text{Old}}\times 100 \)
- Part from a ratio a to b: \( \text{Total}\times\dfrac{a}{a+b} \)
- Value from a pie share: \( \dfrac{x}{100}\times\text{Total} \)
- Average: \( \dfrac{\text{Sum of values}}{\text{Number of values}} \)
Tips to solve DI sets faster
- Read each chart's heading, units and its own total before any question, since one chart may cover all students and another only the girls.
- Use approximation where options are well apart, and calculate exactly only when they are close.
- In twin pie charts, find the girls first and subtract from the course total to get the boys.
- Write ratio parts as fractions of the total before applying percentages.
Who will gain from this DI practice
It suits PU MET and other MBA entrance aspirants who know percentages and ratios and now want practice on real data sets.