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Data visualization is a quick, easy, and effective way to convey concepts in a universal manner. Visualized data helps you understand large and complex data sets easily so you can make decisions based on the analysis. It also helps you identify new patterns, trends, and correlations in the attributes.

In this scenario, you are continuing to work as a business consultant trainee with the superstore client. Now you will take a deeper dive into the analysis with measures of central tendency. After having spent time reviewing your initial discoveries, your vice president has asked you to create an in-depth visualization of the data. You will be required to create multiple charts of each type: trend, pie, and column. Your analysis should now focus on the subcategories: product types, states, and shipping modes. Different visualizations can help one discover new aspects of the data. Examining the subcategories will provide further insight as you begin to identify new patterns, trends, and relationships or correlations in the key attributes.

Additionally, you will write a short report to present your findings for the superstore. In this short report, you will also explain the new insights that you have gathered during your continued analysis.


You will create multiple charts of each type: trend, pie, and column. Then explain the new insights that you have gathered during your continued analysis.

  1. Create multiple charts to represent the subcategories of the data.
    • Use the Superstore Excel Workbook to complete this step. This workbook also contains your work from previous modules.
    • The charts should be created in the Data_Visualization worksheet.
    • Each of the charts you create should have two attributes. You can choose any two of the subcategories: product types, states, and shipping modes.
  2. Explain the identified patterns, trends, and correlations between the key attributes and subcategories in a short paper.
    • Describe your observations of the subcategories (product types, states, and shipping modes) and their relationship to the key attributes within the data set.
      1. For example, if you are describing product types, what trends across other subcategories or key attributes are you seeing (product types as they relate to profit, to shipping modes, etc.)?

Guidelines for Submission

In this assignment you will submit an updated Excel file and a Word document.

  • Superstore Excel Workbook: Submit the Excel workbook. This should include one additional completed worksheet: Data_Visualization.
  • Short report: Submit a Word document using double spacing, 12-point Times New Roman font, and one-inch margins. This assignment should be 1 to 2 pages in length. If references are included, they should be cited in APA format. Consult the Shapiro Library APA Style Guide for more information on citations.
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