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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.
Prompt
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.
In this assignment you will submit an updated Excel file and a Word document.
In order to complete this assignment, I would first review the data in the Superstore Excel workbook and create a new worksheet titled “Data_Visualization.” On this worksheet, I would create multiple charts of each type (trend, pie, and column) to represent the subcategories of product types, states, and shipping modes.
For the trend charts, I would use line charts to show the changes in sales or profit over time for each subcategory. For the pie charts, I would use pie charts to show the proportion of sales or profit for each subcategory. For the column charts, I would use column charts to show the comparison of sales or profit for each subcategory.
After creating the charts, I would analyze the data to identify any patterns, trends, or correlations between the key attributes and subcategories. I would then use these insights to write a short report, explaining the new insights that I have gathered during my continued analysis. In this report, I would also include any recommendations for the superstore based on the data analysis.
Finally, I would ensure that all charts and data used in the report are correctly cited using APA format and submit both the updated Excel workbook and the Word document to the vice president.