display of facts is the polar opposite of textual presentation. While graphical data presentation is the most common and frequently utilised in education research guides, textual data presentation allows the researcher to communicate qualitative data that cannot be represented graphically or in tabular form.
Text, tables, and/or graphs can all be used to show information. The type of data, the technique of analysis, and the type of information sought from the data all influence the way of presentation.
Whatever approach you use, your data should be presented in the most basic manner possible so that the reader can simply interpret it. The researcher should select a data presentation strategy after thoroughly analysing the benefits and drawbacks of that method.
The pros and downsides of textual data display are discussed below. Textual presentation allows for better interpretation and comprehension of the data's significance.

Factors to consider when presenting data in text

When it comes to presenting contextual data, textual presentation is extremely useful. It aids the researcher in explaining and analysing individual data points. The following elements should be considered by the researcher while presenting data in textual form.
The target audience who will read it should be known to the researcher. The researcher should provide data in an easy-to-understand manner that emphasises the most important aspects of the findings.
The author should use language that is free of prejudice in the research. Avoid using terminology that is prejudiced, skewed, or emotive.
To avoid any inaccuracies in the presentation, maintain accuracy while presenting data, and examine the figures and percentages offered in the textual data.

The researcher should omit extraneous information in order to make it simpler for the audience to understand the main points in the data. Too much information might make it difficult for the audience to focus on the most important aspects of the data.

Repeating the same point again and over will defeat the objective of textual exposition. If you find yourself repeating data searches, your data presentation will become repetitive.

Longer phrases should be shortened if feasible, and two sentences should be integrated when possible.
Using generic descriptive phrases such as too much, little, exactly, all, always, never, must, and others is a common error made by researchers. These terms should be avoided in your data presentation since they just add to the superfluous information. Numbers and percentages are more accurate in describing and achieving the goal of data display.
Another thing to keep in mind is to avoid using fancy language in your data presentation and instead use scholarly language.
Textual Presentation's Benefits

The researcher may give a more detailed interpretation of the data when the data is presented in text format. Text is the primary approach for discussing findings, identifying patterns, and giving contextual information, according to In and Lee, 2017.

It enables the researcher to communicate qualitative data that cannot be represented graphically or numerically.

The use of text to show statistics can assist in stressing some key facts. It enables the researcher to contextualise the data so that the reader may make sense of it.

Textual presentation is a simple way to show small collections of data. Simple data, such as the fact that there are 30 kids in the class, 20 of which are females and 10 of whom are boys, is easier to comprehend when presented in text form. This data may be presented without the need of a table or graph since it can be understood through words alone.
Textual Presentation's Drawbacks

The main downside of textual data display is that it generates a lot of information in the form of words and paragraphs. The reader will find it difficult to draw conclusions from a single glance. Data displayed in tables or graphs, on the other hand, might make it simpler for readers to derive inferences from the data.

For enormous collections of data with a lot of specifics, textual display isn't the best option. The researcher can readily show enormous amounts of data using graphical or tabular forms.

To understand and appreciate the essential education research guides in a textual presentation, one must read the entire text.