Exploratory statistics - numerical measures
In the exploratory phase of a study, we try to gather a first set of information needed to derive features that can guide us in choosing the right tools to extract knowledge from the data. Those analyses provide a variety of tools for quickly summarizing and gaining insight about a set of data. The purpose of exploratory analysis is to use statistical indicator and visualizations to better understand the data, find clues about data trends and its quality, and formulate hypotheses from our analysis. We do not want to make imaginative or aesthetically pleasing views to surprise the interlocutor; our goal is to try to answer specific questions through data analysis.
Measures of location
The first step in our analysis is to estimate a localization parameter for distribution; that is, to find a typical or central value that best describes the data. MATLAB provides several methods and techniques to execute an effective measure of central tendency through...