In statistical analysis Hassan Whiteside Heat Jersey , the process of arranging the huge masses of data in a systematic manner is called as the classification.
There are four types of classification as detailed below namely:
1) Classification according to qualitative basis;
2) Classification according to quantitative basis;
3) Classification according to chronological basis and
4) Classification according to geographical basis.

The statistical data classified according to different areas like states, districts, towns Dion Waiters Heat Jersey , villages etc. are classified under the category of geographical classification. For example, the production of fertilizer from different parts of the country comes under this classification.

Chronological classification: Statistical data arranged according to the time of occurrence come under this classification. For example, the production of wheat from the year Dwyane Wade Heat Jersey , 1980 to 1985, sales of imported cars after independence can be classified chronologically.

Tabulation:
A statistical data collected either through a primary source or a secondary source has to be classified first. The classified data has to be presented in the tabular form in an orderly way before analysis and interpretation of the data. The tabulation is defined as “the orderly or systematic presentation of numerical data in rows and columns, designed to facilitate the comparison between the figures”.

The tabulation is a statistical tool used for condensation of the data in a statistical process.
The following are some of the characteristics of a good table:
01) A statistical table should contain a clear and precise title;
02) When a number of tables are presented in the analysis of a statistical data Josh Richardson Heat Jersey , serial numbers should be given in the tables;
03) Descriptions of columns, rows, sub columns Alonzo Mourning Heat Jersey , sub rows etc. Should be well defined;
04) The unit of measurement used should be clearly indicated and these units are normally mentioned at the top of the columns.
05) Data which are comparable should be given side by side;
06) The tables should be neat and attractive;
07) Horizontal and vertical lines should be drawn in order to separate adjacent rows and columns. Thin and thick lines may be drawn for the purpose of distinguishing sub rows and sub columns from the main rows and main columns;
08) Column totals and row totals should be shown;
09) In case the information given in the table is not self explanatory, sufficient information should be given as footnotes for proper understanding of the table;
10) If the data has several sub classifications, it can be presented in more than one table and
11) The data of preparation of the table and the source of information should be mentioned at the bottom of the table.
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