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Data analysis is simply the process of evaluating data using logical and analytical reasoning. It is the process of modeling, combining, and extracting all components of raw data to provide helpful information. Data analysis is a critical step in the research experimentation process. The term “data mining” refers to cleaning, modeling, inspecting, and transforming data. Its data can aid in decision-making, forecasting outcomes, and creating conclusions that specialists can depend on. Data analysis is a procedure that entails collecting, reviewing, and analyzing accessible data. You can use numerous methods during the data analysis process. Data visualization, text analytics, data mining, and business intelligence are examples of these. Data analysis can be classified into two broad categories in statistical applications: confirmatory data analysis (CDA) and exploratory data analysis (EDA) (EDA).
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