Tabulation of Data

Tabulation is the process of arranging data in a systematic manner in rows and columns based on main characteristics.

When tabulating data, it is presented in a well-organized and concise form. This makes it easier to understand, compare, and analyze the data, as well as to draw conclusions. 

Additionally, tabulation saves time and expense.

The following points should be considered when tabulating data:

(a) Each table should be given a brief, clear, and appropriate title. This title should be mentioned directly above the table. It is also good to mention the table number. 

(b) The length and width of the table should be determined based on the size of the paper. Generally, the number of rows in a table should be more than the number of columns. 

(c) Row headings and column headings should be mentioned in the table. 

(d) The table should be appropriate for the purpose, visually appealing, clean, and accurate. 

(e) The main part of the table should contain statistical information that matches the row and column headings. 

(f) A head note should be mentioned in parentheses at the top right of the table, and a foot note should be given to clarify any unclear information within the table. Similarly, if the data is taken from another source, the source should be mentioned at the bottom of the table. 

(g) The unit in which the data in the table is measured should be clearly mentioned accordingly.

Construction of Attribute and Interval Tables

(a) Attribute Table

If data is classified and presented in a table based solely on the qualitative aspects of facts that cannot be numerically expressed, such a table is called an attribute table. 

These attributes can include religion, gender, character, color, profession, literacy, etc. 

An example of an attribute table is presented below.

Table 1: Distribution of Nepal's Population by Different Religions and Gender