Objectives of Classification of Data

1. Brief and Simple

Raw data gathered by the investigator cannot provide him/her with meaningful and effective results. Therefore it is essential to convert the raw material into different categories for which classification of data is used. The basic motive of the classification of data is to present the raw data collected by the investigator or analyst into different categories in a way that is brief and simple. Proper classification of data makes the data analysis more convenient. 

2. Utility

For the purpose of investigation, an analyst collects information from different sources and then classifies the data into different categories. Classification of data distinguishes the collected diverse set of data by bringing out similar or homogeneous information together, thus enhancing its utility.

3. Distinctiveness

It is not easy to form results from raw data gathered in one place in a heterogeneous manner. Therefore, it is essential to classify the given data into different categories. Classification of data aims at providing the analyst with obvious differences in the given set of data more distinctly. 

4. Comparability

It is not possible to compare two sets of data in raw form. Classification of data helps an investigator in comparing the given two sets of data and estimating results. For example, if we say the number of firms producing laptops in different locations of Kerala and Punjab is 30 and 25, respectively. It is easier to compare this information instead of raw data consisting of the names of every industry in Kerala and Punjab producing different goods. 

5. Scientific Arrangement

Classification of the raw data according to their similar characteristics helps in facilitating the proper arrangement of the collected data in a scientific manner. The scientific arrangement of data increases the reliability of data. 

6. Attractive and Effective

Classification makes the collected raw data effective and attractive. A lot can be understood just by looking at the data if it is properly presented and classified. 

Objectives and Characteristics of Classification of Data

Data can not always be found in an organised manner. Therefore, an analyst or investigator has to properly organise the collected data for a better analysis of information and to reach the desired results. One of the most important methods of organising such data is known as the classification of data. Under this method, the raw information is converted into different statistical series in a way that provides better and more meaningful results. 

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Classification of Data

For performing statistical analysis, various kinds of data are gathered by the investigator or analyst. The information gathered is usually in raw form, which is difficult to analyze. To make the analysis meaningful and easy, the raw data is converted or classified into different categories based on their characteristics. This grouping of data into different categories or classes with similar or homogeneous characteristics is known as the Classification of Data. Each division or class of the gathered data is known as a Class. The different basis of classification of statistical information are Geographical, Chronological, Qualitative (Simple and Manifold) and Quantitative or Numerical....

Objectives of Classification of Data

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Characteristics of a Good Classification

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