Classification of Data
A method of organization of data for the distribution of raw data into different classes based on their classifications is known as classification of data. In other words, classification of data means converting raw data collected by an investigator into statistical series in a way that provides meaningful conclusions.
According to Conner, “Classification is the process of arranging things (either actually or notionally) in groups or classes according to their resemblances and affinities, and gives expression to the unity of attributes that may exist amongst a diversity of individuals.”
Based on the definition of classification of data by Conner, the two basic features of this process are:
- The raw data is divided into different groups. For example, on the basis of marital status, people can be classified as married, unmarried, divorced and engaged.
- The raw data is classified based on class similarities. All similar units of the raw data are put together in one class. For example, every educated person can be put together in one class and uneducated in another.
Each group or division of the raw data classified on the basis of their similarities is known as Class.
For example, the population of a city can be classified or grouped based on their age, education, income, sex, marital status, etc., as it can provide the investigator with better conclusions for different purposes.