DI (Data Interpretation)
Introduction Data Interpretation (DI)
Data Interpretation is gaining a lot of importance because of the ever-increasing use and collection of data. Data Interpretation can be defined as a process where data is analyzed well using various sets of methods or techniques and then arriving at meaning, interface, or conclusion.
The data analyst uses the data from various sources, analyze, and then presents it in an appropriate manner, which can be easily understood. So, being able to interpret the data is a prerequisite. It comprises a fair weightage for various aptitude tests or entrance exams for banks such as SBI PO, Clerk role for the bank, IBPS RRB Clerk, RBI Grade A, B, NABARD Grade A & B, LIC AAO, etc.
Data Interpretations Topics For Bank Exams
· Tabular Data- Tables are used to present numerical data. It is the easiest
and most accurate way of presenting the data. We can understand the
information quickly by having a glance over it.
· Bar Graphs- A bar graph can have horizontal or vertical bars. We can
compare either the same or different quantities at different times.
· Cumulative Graph- Thee bars height or the line is divided up proportionally
among various quantities presented in a graph, which may be in percentage
or absolute numbers.
· Line Graphs- They are used to show how a quantity change continuously.
The pattern of the line is observed.
· Pie-Charts- They are used to show the share of the various sectors in the
Data interpretation pie chart formula - Sector angle= class frequency/total frequency*360’.
· Combination- Many times, a combination of two similar or, in rare cases
different graphs or charts are used to present the data and analyze it.
· Data Sufficiency- It means whether the given set of data and statements
are sufficient enough to answer the questions that have been asked or not.
Tips To Prepare For Data Interpretation Questions
· Master Basic Calculations- Calculations such as addition, multiplication,
subtraction, division, etc. should be practiced. If you are quick with it, you
will save a lot of time.
· Practice More Often- DI questions are easy but time-consuming, so the
more practice, the faster you can solve.
· Approximate the Values- Try to approximate the value to near 100 or
1000, etc. which will help you to perform calculations quickly.
· Understand the Data Set Well- May times, it happens that the answer is
readily available for the data set, and we need not perform any
· Managing Time- If you feel that the DI is taking a lot of time, then be ready
to switch to the next question and do not waste a lot of time.
· Master the Squares and the Roots- Keep recalling the squares, the squares,
the roots, the cube, cube roots, etc. till you learn them well, and it will help
in solving few questions easily.
Importance of Data Interpretation
· Easy Scoring- They involve tedious calculations but are easy to score if you
have speed over the same.
· One-Table, Many Questions- This will lead to solving the data set once and
answering 4-5 questions helping to score more.
· Balancing Out Other Quantitative Section Topics- If you are good with DI,
then you may skip 2-3 questions in that section.
· More Weightage- DI is given more weightage than any other topic in this