Data analytics is the science of analyzing raw data in order to make conclusions about that information.
Data analytic techniques can reveal trends and metrics that would otherwise be lost in the mass of information.
The process involved in data analysis involves several different steps:
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Determine the data requirements or how the data is grouped. Data may be separated by age, demographic, income, or gender. Data values may be numerical or be divided by category.
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Data collection - This can be done through a variety of sources such as computers, online sources, cameras, environmental sources, or through personnel.
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Data organization -,Organization may take place on a spreadsheet or other form of software that can take statistical data.
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Data Cleaning -. This means it is scrubbed and checked to ensure there is no duplication or error, and that it is not incomplete.
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Data Visualization - Create visual graphs to identify patterns and anomalies of the collected data.
