Data Interpretation Questions- This is one of the most important topic and the best way to ace this topic is to practice Data Interpretation Questions. This section dominates the majority of the RRB PO & Clerk Quantitative Aptitude section as it carries approximately 15-20 questions and sometime even more. In this space we will be discussing Data Interpretation Questions as well as, we will also be providing you the free PDF along with it to practice all the tips and tricks. Let’s take a look at the concept of Data Interpretations:
Data Interpretation: Types
Given below are different types of Data Interpetation that you may encounter in Prelims of IBPS RRB PO & IBPS RRB Clerk 2020:
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Tabular DI is the basic form of DI and it is usually two types i.e. where all the data is given and the other one is where some data is missing and student is suppose to find out those missing values. Given below is the example of the Tabular DI:
|Stores||Total ball point pens sold||Ratio of ball point pens to gel pens sold|
|A||108||9 : 5|
|B||240||6 : 5|
|C||200||4 : 1|
|D||150||3 : 1|
|E||120||3 : 2|
Missing Table DI
Another way of representing data is in Bar Graph and in this type of DI, different size of bars are given which represents the data and each bar represent a different data of the given quantity. Given below is the example Bar Graph:
Line Graph is another form of representing the Data Interpretation and this type is popular as well. In this type, Data is represented in such a way that two points will be joined together thus forming a slope which will either indicate growth or decline. Given below is the type of Line Graph:
This is another representation of Data Interpretation and this type is usually asked to increase the difficulty level of the exam. In this type of DI, calculation of data and calculation may require conversion of percentage into or degree or vice versa. Given below is the Example of Pie Charts:
We hope that you have now learned the concept of DI and it’s time to Practice these types from the link given below: