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Difference Between Qualitative and Quantitative Data Interpretation

                         Qualitative Data Interpretation                    Quantitative Data Interpretation

               Categorical                                         Numerical

               Provides insights into feelings and emotions        Provides insights into quantity

               Answers how and why                                 Answers when, how many, or how often


               Methods – Interviews, Focus Groups                  Methods – Assessment, Tests, Polls, Surveys

               Example question – Why do students like attending   Example question – How many students like attending
               online classes?                                     online classes?



                       Types of Data Interpretation


              There are three ways in which data can be presented:

              ●   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   Table Students' Marks Analysis
                  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.

              ●   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.

              Bar Graphs

              In a Bar Graph, data is represented using vertical and horizontal bars.







                                    Pie Charts
                                      Pie charts resemble pies, with each slice representing a portion of the whole pie assigned
                                    to different categories. These circular charts are divided into sections, and the size of
                                    each section corresponds proportionally to its value within the dataset.





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