1. DATA ORGANIZATION
• Data organization is a process of organizing raw data, by
classifying them into different categories. This raw data
includes the observations of variables. For example, arranging
the marks obtained by students in different subjects is data
organization.
• As time passes and our volume of data increases, the time
consumed to search for any information from the data source
increases if it hasn’t been organized already. Let us consider
the following example to understand the concept and need for
data organization.
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2. Example
• The marks scored out of 50 in a maths exam taken by 25
students are as follows:
• 26,15, 40, 18, 26, 24, 48, 40, 39, 26, 23, 37, 38, 40, 45, 48.
• This form of representation of data becomes confusing if the
number of students increases to 1000. Now, this data can be
organized in the form of a table as shown below:
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3. Example
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Serial Number Marks Scored
1 15
2 18
3 23
4 24
5 26
6 26
7 37
8 38
9 39
10 40
11 40
12 40
13 45
14 48
15 48
4. HOW TO VERIFY THE DATA?
• Verification is the process of checking, confirming, making
sure, and being certain. In qualitative research, verification
refers to the mechanisms used during the process of research to
incrementally contribute to ensuring reliability and validity
and, thus, the rigor of a study.
Presentation title 4
