How does quantization work in data analysis?

What is quantization and how does it work in data analysis?

Which of the following is an example of quantization? A. The temperature range in a classroom B. The number of students in a classroom C. The amount of time spent in a classroom D. Learning happening in a classroom​

Answer:

A. The temperature range in a classroom

Quantization is the process of converting a continuous range of values into a finite set of discreet values. In the context of data analysis, quantization is used to simplify data without losing too much information. The example of quantization provided in the question fits the concept well.

When we talk about the temperature range in a classroom, it can be quantized into discrete values such as hot, warm, and cold. By quantizing the temperature range, we simplify the data and make it easier to work with while still capturing the key information about the temperature in the classroom.

Quantization helps in reducing the complexity of data, making it easier to process and analyze. It is commonly used in various areas of data analysis to convert continuous data into discrete values that can be easily understood and manipulated.