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Types of Data Interpretation
There are three ways in which data can be presented:
Types of Data Interpretation
Textual Tabular Graphical
Textual DI
Data is put into words, like in a paragraph, which works well for small amounts of data that can be easily
understood. But for larger amounts, this type of presentation may not be the best because it can get too
complicated. For instance, a paragraph might describe how a company's sales went up in the first quarter, and
how many units of each product they sold, as well as improvements in customer satisfaction.
Tabular DI
Data is organised systematically in rows and columns within a table, facilitating structured representation. In the
example given below, the title of the table, "Students, Marks Analysis," provides a descriptive overview of the
table's content, summarising the analysis of student marks within the table.
Table Students' Marks Analysis
Graphical DI
Some of the graphs include bar graphs, line graphs, pie charts, and scatter plots, which help in visualising trends,
relationships, and distributions within the data.
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