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Data Interpretation

Introduction

Data Interpretation is a method that is used to derive useful information from a collected set of data. This collected data could be in the form of a pie chart, graph, table etc. The data has to be analyzed and utilized by the student to write a paragraph providing the factual information. In simple words, you will be presented with a data in the form of a pie chart/bar graph/line graph/table etc. Based on the given data you will have to write a paragraph.

 

Difference between paragraph writing and data interpretation:

A paragraph can be written on any topic whatsoever. Data interpretation, on the other hand, compiles a given set of data and frames it into a paragraph. A paragraph usually consists of several sentences that deal with a single subject. Although a paragraph has some limitation on length, it may vary according to the subject discussed. However, data interpretations have to give the details of the specified data in a precise, simple and crisp way.

 

Points to Remember:

1. Data interpretation does not follow any format and is written in a paragraph.

2. It should always be written in a precise manner, by using short and crisp sentences.

Data Interpretation is a method that is used to derive useful information from a collected set of data. This collected data could be in the form of a pie chart, graph, table etc. The data has to be analyzed and utilized by the student to write a paragraph providing the factual information. In simple words, you will be presented with a data in the form of a pie chart/bar graph/line graph/table etc. Based on the given data you will have to write a paragraph.

 

Difference between paragraph writing and data interpretation:

A paragraph can be written on any topic whatsoever. Data interpretation, on the other hand, compiles a given set of data and frames it into a paragraph. A paragraph usually consists of several sentences that deal with a single subject. Although a paragraph has some limitation on length, it may vary according to the subject discussed. However, data interpretations have to give the details of the specified data in a precise, simple and crisp way.

 

Points to Remember:

1. Data interpretation does not follow any format and is written in a paragraph.

2. It should always be written in a precise manner, by using short and crisp sentences.

Q. The data given below shows the changes in education for women that occurred between the years 1995 and 2010 in Bilaspur. Interpret the given data and write a…

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