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Introduction to Data Interpretation

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Introduction to Data Interpretation:
In our day to day life, we come across many situations where we are required to analyze information in the form of data to take a decision or to arrive at a conclusion. For a manager, analysis of present and past sales to predict the future sales.
All the information we have in different cases represent data in different forms.
The term data is used to represent numerical information of a particular situation or data is nothing but collection of facts or figures.
But data when it is not organized is very little useful. Marks of students of a university are little use unless they are well organized in a proper form such as students got first class, second class and failed in each college.
Data when organized in proper form is very useful to make interpretations and called information. And objective of any data is to help us to obtain required information and make interpretations.
Data Interpretation : The act of organizing and interpreting data to get meaningful information is data interpretation.
Nowadays, data interpretation is an important aspect of very competitive examination. Recent developments in competitive examinations, where test makers are trying to assess the intellect and skills of the test takers by gauging their ability to analyze and interpret the data, we find DATA INTERPRETATION to be of great importance to get good score with the examinations like Bank Clerks, Bank PO, CSAT, CAT, XAT, SSC and other competitive examinations. Data interpretation is also a very important topic for GMAT and GRE. The weightage of DATA INTERPRETATION questions in competitive examinations are increasing regularly.
Usually a table, or graph or a diagram is given with some facts or required information and test takers are required to answer the questions that follow the test of their ability of analyzing and interpreting the given information.

Types of data interpretation questions:
The data interpretation has the following ways in which it can be represented.

1.    Tables : Also called data tables. This is the one of the easiest and convenient  way used for summarizing and presenting the data in a meaningful way

2.    Venn Diagram : Venn diagram is a  way of representing data pictorially. The use of Venn diagram is to test your ability about the relation between some items of a group by diagrams
3.    Pie Charts: Pie charts are also called pie graphs. Pie charts are circular representation of data. Generally the data in the question represents the break ups of of a whole into its parts. An each slice of pie shows the portion of the entire pie allocated in each category

4.    Line Graphs: Line graph or line charts show the trend of the data in any form. Trend denotes the rise or fall in the values of the data. The data is given on Cartesian co-ordinate plane that has two axes names X-axis and Y-axis

5.    Bar Graphs : A bar is a thick line , which may be horizontal or vertical. A bar graph is a chart that uses bars to show comparisons among categories.

6.    Mixed Graph or Combination Graph : Often, data interpretation questions based not on a single graph but on a combination of two or more graphs(Either bar chart with pie or line graph with data table).


7.    Case lets : A case let is a complete paragraph full of numerical information that provides the data in order to answer the questions .Given paragraph contains numerical information and test taker is required to answer the question after arranging the data in proper way.

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