This method provides the quickest understanding of the actual Body of a table is the main part and it contains the actual data. Location of any one figure/data in the table is ... data. It easy to understand diagrams even for ordinary people. Data can be presented in one of the three forms: text, tables, and/or graphs. Just one diagram is enough to represent a given data more effectively than thousand words. IN SUMMARY The aim of data presentation is to give an accurate summary of data. 2.If the model cannot provide an answer, the conceptual model is not complete. Before the calculation of descriptive statistics, it is sometimes a good idea to present data as tables, charts, diagrams or graphs. â¢ Diagrammatic presentation. There are a variety of diagrams like dimensional drawings, pictograms, cartograms, graphs, curves, and circles or pie diagrams, which have great utility in the presentation of data. The main methods of presenting numerical data are through graphs, tables and text incorporation. diagrammatic and graphical representation of data 1. 4.1.2 Data reduction Diagrams save time when compared to other methods. 3.Two methods that use two different representations of data model: a.Textual description of the user transaction b.Transaction pathway through the conceptual model to They do not provide detailed information. It is the simplest and the most common form of data presentation. The selection of the method of presentation depends on the type of data, method of analysis, and type of information sought from the data. Diagrams create a lasting impression on the minds of observers. One of the most convincing and appealing ways in which statistical results may be presented is through diagrams and graphs. 4. In other words, under textual presentation, the data is summarised paragraphs forms. Utility or uses of diagrammatic presentation: 1. 1.The conceptual data model must provide a response for all user defined transactions. There are many different types of data presentation. A table lists data in columns. Qualitative data, or data that cannot translate into quantifiable measurements, requires thematic analysis to report patterns appearing in a theme or category. Makes complex data simple. Characteristics of diagrams and rules for drawing these have been discussed with limitations and use of these. These have considerable impact, but need careful planning. Here we concentrate on diagrammatic presentations. Whatever method you choose your data should be presented in the simplest form so the reader can easily draw meanings form it. Diagrammatic Presentation of Data . PRESENTATION OF DATA 1.1 INTRODUCTION Once data has been collected, it has to be classified and organised in such a way that it becomes easily readable and interpretable, that is, converted to information. 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