Classification and Tabulation
Classification
and Tabulation
Meaning of Classification of
Data
-
It is the process of arranging data into homogeneous (similar)
groups according to their common characteristics.
-
Raw data cannot be easily understood, and it is not fit for
further analysis and interpretation. Arrangement of data helps users in
comparison and analysis.
- For example, the
population of a town can be grouped according to sex, age, marital status,
etc.
Classification of data
The method of arranging data
into homogeneous classes according to the common features present in the data
is known as classification.
A planned data analysis system
makes the fundamental data easy to find and recover. This can be of particular
interest for legal discovery, risk management, and compliance. Written methods
and sets of guidelines for data classification should determine what levels and
measures the company will use to organise data and define the roles of
employees within the business regarding input stewardship.
Once a data - classification
scheme has been designed, the security standards that stipulate proper
approaching practices for each division and the storage criteria that
determines the data’s lifecycle demands should be discussed.
Objectives of Data
Classification
The primary objectives of data
classification are:
-
To consolidate the volume of data in such a way that
similarities and differences can be quickly understood. Figures can
consequently be ordered in sections with common traits.
-
To aid comparison.
-
To point out the important characteristics of the data at a
flash.
-
To give importance to the prominent data collected while
separating the optional elements.
- To allow a
statistical method of the materials gathered.
Tabulation
Meaning:
Tabulation is a systematic and logical representation of numeric
data in rows and columns to facilitate comparison and statistical analysis. It
facilitates comparison by bringing related information close to each other and
helps in statistical analysis and interpretation.
In other words, the method of placing organised data into a tabular
form is known as tabulation. It may be complex, double, or simple, depending
upon the nature of categorisation.
Objectives Of Tabulation:
(1) To simplify complex data
- It reduces the bulk
of information, i.e., it reduces raw data in a simplified and meaningful
form so that it can be easily interpreted by a common man in less time.
(2) To bring out essential
features of data
- It brings out the
chief/main characteristics of data.
- It presents facts
clearly and precisely without textual explanation.
(3) To facilitate comparison
- The representation
of data in rows and columns is helpful in simultaneous detailed comparison
on the basis of several parameters.
(4) To facilitate statistical
analysis
- Tables serve as the
best source of organised data for statistical analysis.
- The task of
computing average, dispersion, correlation, etc., becomes easier if data
is presented in the form of a table.
(5) To save space
- A table presents
facts in a better way than the textual form.
- It saves space without sacrificing the quality and quantity of data.
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