Exploratory data analysis (EDA)

What is Exploratory Data Analysis (EDA)?
Exploratory Data Analysis (EDA) is a term used for certain types of initial analysis and results that are performed on data sets, usually early in an analytical process. Some experts describe it as a "look" at the data to understand more about what it represents and how to apply it. Exploratory data analysis is often a preliminary step to other types of work with statistics and data.
Those skilled in the art will often use various visual tools to perform exploratory data analysis, for example to test an intuitive hypothesis and find out how data sets are similar or different. A great example is using a scatter plot - this simple piece of exploratory data analysis can show analysts whether there is a trend or significant difference between two or more data sets by creating numbers that are relatively difficult for the human brain to analyze as a whole, in simple visuals.

Block diagrams and line diagrams are other examples of this type of quick exploratory analysis. Those who work with the data can speed up the process of figuring out what the data means, what it can be used for, and what conclusions can be drawn from it.