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Basics and Fundamentals of Data Cleaning

In every formal study and research, a presentation of Analysis is necessary. It is to give weight and justification on case that is being proposed and presented, without the analysis it cannot be properly called a study and will only classified as an article. In the same context, the data cleaning or how is the data presented and utilized must be discussed and defended in order to make the proposal, research or study be believable. There are many types of study and research, and most (if not all) of them requires data gathering, a survey or an experiment to a specimen. Commonly, data cleaning comes after the fact. Or after the data are gathered on subjects. This is the most common type or the Reactive Data Cleaning. There is another type of Data Cleaning and that is the Proactive Data Cleaning. The Proactive Data Cleaning involves planning of the Data Gathering, crafting a threshold, setting up conditional tests and properly defining the tests, questionnaires and forms. The keyword is