Qualitative And Quantitative Data
In data science, qualitative data refers to non-numerical data that is descriptive in nature and cannot be measured objectively. This type of data is often collected through interviews, surveys, or observations and is used to gain insights into people's opinions, attitudes, and behaviors. On the other hand, quantitative data refers to numerical data that can be measured objectively. This type of data is often collected through experiments, surveys, or other forms of statistical analysis and is used to identify patterns, trends, and relationships between variables. In data science, both qualitative and quantitative data are important for gaining a comprehensive understanding of a particular phenomenon or problem.
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