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If you are working with raw data (your own or someone else's) the data set typically requires cleaning and preparation before any analysis. This includes activities such as
reformatting or adding calculated fields
standardizing / normalizing data values
enriching the existing data with data from other (related) sets
This is one of the most important steps in your data analysis: Ensuring that your data is prepared will improve the quality of the data and allow you to draw more reliable and valid conclusions.
Materials available from the library on data cleaning:
The same methods may also be used for data analysis, reporting and visualizations. However, there are other easier-to-use software that can help you with analysis and reporting. See the next section "Data Reporting / Visualization" for more information and check the ITS Software page for any statistical analysis software that may be available to you in your program.