Qualitative Data

Qualitative data is a type of data that is non-numerical and is collected through methods such as interviews, observations, and focus groups. It is used to gain an understanding of underlying reasons, opinions, and motivations. Qualitative data is often subjective and can be difficult to analyze due to its open-ended nature. However, it can provide rich insights into complex phenomena and can be used to generate hypotheses for further research. In data science, qualitative data is often used in conjunction with quantitative data to provide a more complete understanding of a research question or problem.

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User Experience: User Experience (UX) refers to the overall experience of a user while interacting with a product or service. In the context of Data Science and Artificial Intelligence, UX is an important consideration in the design and development of intel ... Read More >>
Precision: Precision is a statistical metric that measures the proportion of true positive predictions among all positive predictions made by a model. In other words, it is the ability of a model to correctly identify the positive cases. Precision is ... Read More >>
Normal Distribution: Normal distribution, also known as Gaussian distribution, is a probability distribution that is symmetric around the mean value. It is a continuous probability distribution that is widely used in statistics, natural sciences, social science ... Read More >>

Qualitative Data

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