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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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