Eda, or Exploratory Data Analysis
It is a task that consists of analyzing a database and extracting useful information to perform the EDA, we usually use statistical techniques such as dispersion or dependency of attributes, detection of anomalies and so on.
Correctly and clearly and very importantly during data exploration, the DataSets must be pre-treated so that null values, noise related to registration failures and other anomalies do not affect the final result of the analysis.
The various processes inside the companies or even in the own government generate a great volume of data, the main objective of the data mining
and the extraction of the knowledge contained in these data. Data mining should be used to give more subcides to the decision making,
today, besides evaluating data and internal variables, it is necessary to make this analysis also for external data, not controlled by the company, consumption profile,
percapta income, climate, economic rates, all influence on the success or failure of business decisions, the professional data is right there to analyze
statistically the internal and external variables based on internal and external data supporting decision making.