Types of Data in Statistics
The grouping of data can be based on the quantitative and qualitative aspects of the gathered information, and data can be classified into the following types:
- Qualitative Data
- Quantitative Data
Qualitative Data
Qualitative data is defined as data that approximates and characterizes. Qualitative data can be observed and recorded. In the field of analysis, the terms “qualitative data” and “quantitative data” are used frequently. Quantitative and Qualitative are the two sides of the coin named “Data in Statistics” but as many people are familiar with quantitative data (i.e., numerical data of various sorts), qualitative data is often less understood. Understanding the qualitative data is essential for researchers, analysts, decision-makers, or anyone who wants to gain deep insights into people’s behaviors, attitudes, and experiences.
Qualitative data represents information and concepts that are not quantified numerically. They are typically acquired through sources like interviews, focus groups, personal diaries, lab notebooks, maps, photographs, and other observational or printed materials.
In this article, we have tried to explain Qualitative data with different approaches to its analysis, and also learn about the advantages and disadvantages of Qualitative Data.
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