Qualitative Data:
- Qualitative data describes characteristics, qualities, or features non-numerically.
- It is subjective and can be nominal or ordinal.
- It is often expressed through text, images, or audio.
- Examples include product colors, customer genders, satisfaction ratings, etc.
- Qualitative data analysis often requires subjective interpretation and may involve subjective judgments or experiences.
Quantitative Data:
- Quantitative data is expressed numerically and is measurable and computable.
- It is primarily represented by numbers and can be continuous or discrete.
- Examples include product prices, customer ages, lecture durations, etc.
- Quantitative data is suitable for statistical analysis and mathematical modeling, allowing for quantitative inference.
https://www.rudderstack.com/learn/data-analytics/quantitative-vs-qualitative-data/
Quantitative vs. Qualitative Data
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