# what is DI in CAT?

DEFINITION OF DATA INTERPRETATION:

The interpretation of data is the process through which inferences are drawn about the data available for analysis.In other words, the process of drawing inferences and conclusions through the interpretation of data is what DI is all about.

ORGANISATION AND PRESENTATION OF Data normally, data is generated in such volumes and in such great proportions that it becomes impossible to make any useful judgements through the volume of data. Unless organised in a condensed form that will highlight the main characteristics, facilitate comparisons and render it suit-able for further processing and interpretation, raw data will have little meaning. Top management people rarely find time to go through the entire details of any report, be it daily production or the sales forecast. An effective presentation of data enables them to draw upon the information with the least effort and time.One chart table or graph gives at least 10 times more information than one page of words.There is thus a need to organise the data into meaning-ful presentations.

Data is organised and presented throughout of the several forms of presentations available. The ,most commonly used amongst these are tables, pie charts,bar graphs, the line charts, and so on.Data can be represented by using any one or more than one of these. Normally data is represented through a graphi-cal representation or a set of graphical representations linked to each other.Effective presentation of data is broadly classified into the following categories:

1. Tabular presentation

2. Bar charts

3. X-Y charts 4. Pie charts

5. Caselets

6. Miscellaneous charts

We will now go on and analyse each of the types of charts briefly.

TABULAR PRESENTATION

Tabular presentation is the process of presenting data systematically in horizontal rows and vertical columns. This presentation of data makes it easily understandable and usable for further statistical analysis. The heading of each row and column helps the reader understand the data and the units used for the same. The units to be attached to the values within the row/column may either be mentioned in every row or column or might be mentioned commonly atthe top/bottom of the table. In such a case there would bea reference to the units, e.g., “All figures in Rs crore”.Either the columns or the rows will represent different values of a discrete variable, while the other represents aset of different continuous variables, which may or may not be related to each other.

Normally the rows represent the different values of the
discrete variable, while the columns represent the multitude of continuous variables.

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