Statistics for Data Science

Relevance

A lot of noteworthy emphases can be found on statistical relevance. The relevance of statistical information reflects the degree to which it meets the real needs of a particular project. It is concerned with whether the available information sheds light on the concerns that are important to the project. Assessing relevance is subjective and depends on the varying needs of users.

One of the key methods to establish and measure the relevance of data is through a process known as adding context or profiling.

Let's see, what is this profiling?

Generally speaking, similarly looking data can actually mean very different things. For example, the average revolutions per minute (RPM) carries a different connotation if the data represents ...