It is a table that helps to represent even a large amount of data in an engaging, easy to read, and coordinated manner. The data is arranged in rows and columns. This is one of the most popularly used forms of presentation of data as data tables are simple to prepare and read.
The most significant benefit of tabulation is that it coordinates data for additional statistical treatment and decision making. The analysis used in tabulation is of four types. They are:
1. Qualitative classification: When the classification is done according to traits such as physical status, nationality, social status, etc., it is known as qualitative classification.
2. Quantitative classification: In this, the data is classified on the basis of features that are quantitative in nature. In other words, these features can be estimated quantitatively.
3. Temporal classification: In this classification, time becomes the categorising variable and data are classified according to time. Time, maybe in years, months, weeks, days, hours, etc.,
4. Spatial classification: When the categorisation is done on the basis of location, it is known as spatial classification. The place may be a country, state, district, block, village/town, etc.
● It is a systematic and logical arrangement of data in the form of rows and columns with respect to the characteristics of data.
● It is an orderly arrangement which is compact and self-explanatory.
Faculty-wise distribution of students
Faculty-wise distribution of students