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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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