Data exploration helps a data consumer to focus on searching for information, with a view to forming a true analysis from the gathered information. Furthermore, with the completion of the steps of data munging, analysis, modeling, and evaluation, users can generate insights and valuable points from their focused data.
In a real data exploration project, there are six steps involved in the exploration process. They are as follows:
Asking the right questions.
Data collection.
Data munging.
Basic exploratory data analysis.
Advanced exploratory data analysis.
Model assessment.
A more detailed explanation of these six steps is provided here:
Asking the right questions: When the user presents their question, for example "What are my expected findings after the exploration is finished?", or "What kind of information can I extract through the exploration?," different results will be given. Therefore, asking the right question is essential in the first place, for the question itself determines...