Descriptive statistics need

What is the point of descriptive statistics?
The purpose of a descriptive statistic is to summarize data.
Descriptive stats only make statements about the set of data from which they were calculated; they never go beyond the data you have..
Why do we need descriptive statistics in an experiment?
Descriptive statistics can be useful for two purposes: 1) to provide basic information about variables in a dataset and 2) to highlight potential relationships between variables..
Why do we need descriptive statistics in business?
Descriptive statistics helps facilitate data visualization.
It allows for data to be presented in a meaningful and understandable way, which, in turn, allows for a simplified interpretation of the data set in question..
Why do we need descriptive statistics in research?
Descriptive statistics allow a researcher to quantify and describe the basic characteristics of a data set.
As such, descriptive statistics serve as a starting point for data analysis, allowing researchers to organize, simplify, and summarize data..
Why is descriptive analytics important?
Descriptive analytics can help to identify the areas of strength and weakness in an organization.
Examples of metrics used in descriptive analytics include year-over-year pricing changes, month-over-month sales growth, the number of users, or the total revenue per subscriber..

What is the point of descriptive statistics?