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Data Interpretation

What is Data Interpretation?

Data Interpretation refers to the extraction of data from the source. It can be obtained from multiple sources e.g. data from running of industries, census population data, etc. Data Interpretation basically requires the data first and analyzing data later to infer information from it in order to answer questions. Data can be provided in any format like Bars, tables, line graphs, pie graphs.

Given below are the DI students are expected to comprehend data given and find out the answers:

  • Tabular DI
  • Bar Graph
  • Line Graph
  • Pie Chart
  • Combination DI
  • Miscellaneous DI

How To Interpret Data?

Data Interpretation requires students to make sense of numerical data that has been collected, analyzed, and presented. Given below are some of the steps that you can follow to interpret the data:

  • Read the instruction carefully and all the variables given in the question. Understand the relation between the different variables first.
  • Read the question carefully.
  • Now, give the answer based on what you infer from the data.
  • It is important that you know the basics of arithmetic because questions are based on that.
  • Profit loss, Simple interest & Compound Interest are some of the examiner favourite topics for Data Interpretation.

Why Data Interpretation Is Important

Data Interpretation is important because of the reasons given below:

  • It helps in comparing two different variables.
  • It is useful in establishing relations between two different entities.
  • It enables you to merge two concepts into one.
  • It helps the practical application in the workplace.
  • It helps improve processes and identify problems.

Number of DI Questions in Bank Exam

DI Questions Asked in Bank Exams In 2019 Exam Name Number of Questions Percentage of DI Questions in Section Details

Exam NameNumber of Questions Percentage of DI Questions in Section Details
SBI PO Pre 201915 /35 43% Caselet, table, line
IBPS PO Pre 201915 /35 43% Caselet, table, line
RRB PO Pre 2019 12/40 30% Table, Bar
SBI PO Mains 25/35 71% Caselet, line, funnel , table
IBPS PO Mainss34/35 97% Caselet based on time and work, missing DI, Arithmetic based on probability, etc

Different Types of Data Interpretation


Tabular DI refers are two types where all the data is given and the other one is where some data is missing and the student is supposed to find out those missing values. This is considered one of the basic forms of DI.


This is another format to represent data. In this type of DI, different sizes of bars are used to represent the data. Each bar or any other pattern on the bar represents a different data or variable of the given quantity.


A line graph is another format of representing data. In this type of format, two points will be joined together thus forming a slope that will either indicate growth or decline.


Pie charts can be easy for those who are good at percentage and degree. This type of data mainly depends on the calculation of data and calculation may require conversion of percentage into or degree or vice versa.


You will find these types of data interpretation are usually seen in Mains exam of banking exams because they increase the difficulty level of the question but at many times such type of data is seen in prelims as well but they are of foundation level. In this type of data interpretation, two different types of graphs are generally mixed together and their information is interrelated.


These DI are usually examiners favorite and the data representation in graphs which we are not commonly aware of or we don't see in our daily life. These questions may seem difficult but can be scoring as they are considered to be doable and their difficulty level is not much high in comparison to mixed graph DI. Miscellaneous data are further divided into three types as given below.

  • Radar DI
  • Caselet DI
  • Arithmetic DI

Bar Graph DI

Directions (17-21): Following Bar Graph shows the production data of two Companies A and B in different years.

Data Interpretation_40.1

Q17. What is average production of company A in all the 4 years ?

  1. 100
  2. 200
  3. 300
  4. 150
  5. 225

Q18. Production of Company B in 2018 is what percent of total production in year 2020?

  1. 60%
  2. 75%
  3. 300%
  4. 150%
  5. 70%

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