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Running head: DOCUMENTATION AND DATA QUALITY 1 Documentation and Data Quality Anthony Raphael Embry-Riddle Aeronautical University Business Analytics for Managers MGMT 530 Dr. Robert J. Wietzel February 25, 2020
DOCUMENTATION AND DATA QUALITY 2 Documentation and Data Quality A Data Analyst is a profession that continues to grow and business seeking a competitive advantage. The skillset has been around for decades in different forms or fashions. A Data Analyst scrutinizes data to find out or to help decision-makers. The analyst often has many tools and the disposal to transform data into meaningful visual presentations. Nevertheless, first, a data analyst needs to be able to clean raw data (Hunt, 2018). For this exercise, I will the method used to transform and clean a simple set of data. The first objective was to find the file for the exercise presentation. Using the link provided in exercise 6.4 (data set presentation), I accessed the Data.gov government site and filtered my search using three parameters: climate, NOAA, and CSV formatting. The search results and in many datasets to choose from with many formatting options, including CSV. Finding a dataset large enough to interrogate yet small enough to perform simple cleaning processes is not difficult on the site. The National Oceanic and Atmospheric Administration,

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