Summary
Highlights
Data can be broadly divided into two main categories: quantitative and qualitative. Quantitative data is numerical, while qualitative data is descriptive.
Examples of quantitative data include the number of pets, time of day, and temperature. This type of data can be graphed and is collected through counting or measuring. Quantitative data can be further classified as discrete (countable) or continuous (measurable).
Qualitative data is descriptive and relies on observations using words. Examples include the color of a house, the smell of a sock, or the texture of a shirt.
The video offers examples to differentiate between the two. For a cat, quantitative data would be its 4 legs or 10-pound weight, while qualitative data would be its yellow color or soft fur. For a bookshelf, quantitative data could be 50 books or 150 cm height, and qualitative data could be its multi-color appearance or smooth texture.