Tutorial Classification of Data


Classification of Data


   


The process of arranging data into homogenous group or classes according to some common characteristics present in the data is called classification.
For Example: The process of sorting letters in a post office, the letters are classified according to the cities and further arranged according to streets.

Bases of Classification:
There are four important bases of classification:
(1) Qualitative Base (2) Quantitative Base (3) Geographical Base (4) Chronological or Temporal Base

(1) Qualitative Base:
When the data are classified according to some quality or attributes such as sex, religion, literacy, intelligence etc…

(2) Quantitative Base:
When the data are classified by quantitative characteristics like heights, weights, ages, income etc…

(3) Geographical Base:
When the data are classified by geographical regions or location, like states, provinces, cities, countries etc…

(4) Chronological or Temporal Base:
When the data are classified or arranged by their time of occurrence, such as years, months, weeks, days etc… For Example: Time series data.

Types of Classification:

(1) One -way Classification:
If we classify observed data keeping in view single characteristic, this type of classification is known as one-way classification.
For Example: The population of world may be classified by religion as Muslim, Christians etc…

(2) Two -way Classification:
If we consider two characteristics at a time in order to classify the observed data then we are doing two way classifications.
For Example: The population of world may be classified by Religion and Sex.

(3) Multi -way Classification:
We may consider more than two characteristics at a time to classify given data or observed data. In this way we deal in multi-way classification.
For Example: The population of world may be classified by Religion, Sex and Literacy.


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