Data Interpretation questions tests your approximation abilities, says Abhijit Gupta.
Data Interpretation questions typically contain huge amounts of data given in the form of tables, pie-charts, line graphs, bar diagrams,a combination of these types and even some unusual data representation formats at times. The questions are generally calculation-intensive and are designed to test candidates’ approximation abilities. Most of these questions check one’s ability to compare or calculate fractions, ratios and percentages.
Also, the question–setters are known to try and bamboozle candidates with large amounts of superfluous data in DI questions. The key, thus, is to quickly identify the key pieces of data that one will need to arrive at the answers of the questions asked. In fact, it has also been observed that more the data given in a DI set more is the chance that it will be followed by relatively easier questions. Therefore, it is advisable to look at the questions first to get an idea of what data would be required before analysing the graphs/charts/tables.
Another important thing that one needs to keep in mind is that not all questions in a DI set would be of equal difficulty level.Most sets would contain some questions which can be solved just by a close inspection of the data presented, without any calculation. These questions are designed to test a student’s presence of mind, and should never be missed out on.
One should practice identifying the level of difficulty of questions so as to know immediately which ones to avoid. An optimal strategy may be to just attempt selected, easier questions from each set and leave the tough ones.