Data analysis simply refers to the process of applying logical and analytical reasoning in the evaluation of data. Data analysis involves the modeling, compiling and extraction of all components of the raw data to generate constructive information. Data analysis is one of the most important steps involved in the process of research experiment. Data mining incorporates the cleaning, modeling, inspection and transformation of data. Its information can be helpful in supporting decisions, predicting results or producing conclusions that can be relied upon by experts. Data analysis is a procedural process that requires the collection, review and analysis of the available data. There are different methods that can be applied during the process of data analysis. These include data visualization, text analytics, data mining and business intelligence. In statistical applications, data analysis can be subdivided into two main categories: Confirmatory Data Analysis (CDA) and Exploratory Data Analysis (EDA).
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