Functions of Classification of Data in Statistics:

Collected data, also known as raw data or unclassified data, is always in a haphazard form. In order to make a smooth further statistical analysis, this collected data needs to be organised and presented in a meaningful and easily understandable form. Classification of data is the process of arranging the collected data into different homogeneous groups/classes and sub-classes, according to some common characteristics, properties or criteria present in the data. The following are the main functions of statistical data classification:

• Makes data more understandable by simplifying it.
• Condenses information.
• Highlights points of similarity and dissimilarity.
• Compares the characteristics of data and draws inferences from it.
• Shows the relationship between cause and effect.
• Prepares the data for tabulation.
• Prioritizes the collected key data while separating the optional elements.
• Helps in the presentation of data concisely.
• Helps to visualize the data and make inferences.
• Eliminates unnecessary elements as well as complexity.
• Compresses the data to a format suited for statistical analysis.
• Quickly highlights the data’s most important features.
• Helps in the statistical analysis of the materials collected.
• Classification improves the reliability of a data set.
• Makes it more appealing and valuable to present.
• Massive amounts of unorganised data storage are both costly and risky and could also be a liability. Data classification also reduces the risk of unstructured sensitive information becoming vulnerable to hackers and saves businesses money on data storage costs.
• Data classification assists organisations in maintaining data confidentiality, ease of access, and integrity of their data.
• Data classification is a regulatory requirement because data must be searchable, and retrievable when needed, within certain timeframes.
• Data classification is a useful data security tactic that facilitates proper security responses based on the type of data being retrieved, transmitted, or copied.

Read Also: 

• Classification of Data: Introduction, Definition, Meaning, Cross-Classification
• Objectives / Purpose of Classification of Data
• Steps to an Effective and Successful Data Classification
• Types of Classification
• Principle of Data Classification
• Guidelines for Data Classification
• Uses of Classification of Data

(Source – Various books from college library)

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