What term describes the number of occurrences of each unique value in a data set for binary and discrete data?

The term that describes the number of occurrences of each unique value in a data set for binary and discrete data is frequency distribution. A frequency distribution organizes and summarizes data to show how often each unique value appears. This is particularly useful in analyzing categorical data, as it allows for a quick and clear understanding of the distribution of values.

In the context of binary and discrete data, a frequency distribution assists in visualizing the count for each possible value, making it easier to identify patterns, trends, or common occurrences. It provides an essential foundation for further statistical analysis, such as calculating measures of central tendency or variability.

The other terms provided do not accurately capture this concept. "Subgroup" typically refers to a subset of a larger group, while "Count Distribution" may suggest a similar idea but is not a standard term in data analysis. "Value Map" is not commonly used in the context of describing occurrences of unique values and can refer more to data visualization techniques. Thus, frequency distribution is the most accurate and widely recognized term for this specific data characterization.