As the 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 of data organization.
What is Data Organization?
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:
|Serial Number||Marks Scored|
This form of representation is easy to interpret and to analyse the data, in this case, is organized. Data organization may initially take some time, but in a long run, you will understand the worth of time spent. Once the data is organized properly as per the requirement, it can help us to gather the required information in a quick span of time in future.
Need for Data Organization
There are a lot of benefits to organizing data. The first and foremost benefit are it decreases the time consumed to search for data. Disorganized data has many bottlenecks in terms of data structuring. Suppose you have a data of the results of 1000 students in a school and you need to find out how many students scored a percentage greater than 90.
If your data is unorganized, it will take a lot of time and resource to gather the required information, but suppose you have organized the data in descending order of percentages, and then it will be very quick and easy to sort out the required information. Organizing data also helps in reducing data loss and reduces errors. Suppose you have confusion in different sets of data, then the only solution to such problems is organizing the data properly.
Data organization also helps you to understand why the data was collected and what the proper use of it is? Once the data is organized, it gives you the validity of the work undertaken. A sequential view of the data is always accepted as compared to abrupt and disorganized view. Data organization can be of various types, depending on the requirement of the user. Sometimes, the repeated values in the data are collected together to know the mode of the data or sometimes the data is organized in increasing or decreasing order, to find the median of the given set of data.
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