What Is Data Interpretation?

Data Interpretation refers to the process of reviewing data and making meaningful conclusions by using a variety of analytical approaches. There are several different ways to approach this task, and choosing the best method to interpret your data can have a significant impact on the results you see.

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Key Points:

• Data Interpretation refers to the process of reviewing data and making meaningful conclusions by using a variety of analytical approaches.
• The data interpretation method is a way to analyze and help people make sense of numerical data which has been collected, analyzed, and presented.
• There are several different ways to approach this task, and choosing the best method to interpret your data can have a significant impact on the results you see.
• In bank and other competitive exams, Data Interpretation plays a major role. 
• Generally, Data Interpretation has various types such as table DI, bar chart, line graph, pie chart, etc. 
• Candidates have to give equal importance to all types of data interpretation to score more marks in the quantitative aptitude section. 

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