What is Tabulation of Data? Discuss the Importance of Tabulation.
Tabulation of Data: The tabular presentation of data is one of the techniques of presentation of data. The tabular presentation means arranging the collected data in an orderly mariner in rows and in columns.
The horizontal arrangement of the data is known as rows, whereas the vertical arrangement is called columns. The classified facts are recorded in rows and columns to give then tabular form.
Importance of Tabulation:
Also read | Survey Research, and its Advantages and Disadvantages.
Systematic Presentation of Data:
Generally the collected data is in fragmented form. The mass of data is presented in a concise and simple manner by means of statistical tables.
Thus, tabulation helps in presenting the data in an orderly manner.
Facilitates Comparison of Data:
If the data is in the raw form, it is very difficult to compare. Comparison is possible when the related items of data are presented in simple and concise form.
The presentation of complete and unorganized data in the form of tables facilitates the comparison of the various aspects of the data.
Also read | Quartile Deviation (QD) and Standard Deviation (SD).
Identification of the Desired Values:
In tabulation, data is presented in an orderly manner by arranging it in rows and columns. Therefore, the desired values can be identified without much difficulty. In the absence of tabulated data, it would be rather difficult to locate the required values.
Provides a Basis for Analysis:
Presentation of data in tabular form provides a basis for analysis of such data. The statistical methodology suggests that analysis follows presentation of data.
A systematic presentation of data in tabular form is a prerequisite for the analysis of data Statistical tables are useful aids in analysis.
Also read | The Functional Autonomy of Motives and its types.
Exhibits Trend of Data:
By presenting data in a condensed form at one place, tabular presentation exhibits the trend of data. By looking at a statistical table, we can identify the overall pattern of the data.