Create Charts For Each Tab In This Assignment

For This Assignment Create The Following Charts For Each Tab Using Th

For this assignment, create the following charts for each tab using the data provided in the case study: Create a pie chart and provide a brief analysis of what the graph is showing. Provide a brief analysis to explain what the chart means (3-5 sentences). Create a column chart and provide a brief analysis of what the graph is showing. Provide a brief analysis to explain what the chart means (3-5 sentences). Create a line chart and provide a brief analysis of what the graph is showing. Provide a brief analysis to explain what the chart means (3-5 sentences). Submit your assignment as an Excel spreadsheet containing your charts and analysis. The written portions of your submission should be on the same tab as your charts. Sources, if used, should be cited according to APA style.

Paper For Above instruction

The task involves creating three types of charts—pie, column, and line—for each tab in an Excel spreadsheet, based on data from a provided case study. The purpose of these charts is to visually represent various aspects of the data, thereby aiding in the analysis and interpretation of the case study's key insights. The charts' analyses should succinctly explain what each graph demonstrates and its significance, limited to 3-5 sentences, emphasizing clarity and brevity.

Beginning with the pie chart, it visually displays the proportionate distribution of different categories within the data set. Such a chart highlights the relative size of each category, allowing for quick assessment of dominant or minor segments. For example, if the data concerns market share among competitors, the pie chart clearly illustrates which competitor holds the largest portion, providing immediate insight into market dominance.

The column chart offers a comparative view of data points across different categories or time periods. It is especially useful for identifying trends, seasonal variations, or differences between groups. For instance, if analyzing sales figures across various months, the column chart reveals fluctuations and helps identify peak periods, making it easier to strategize future actions.

The line chart presents trends over time or ordered categories, emphasizing changes, patterns, or growth trajectories. It is valuable for visualizing data points collected sequentially, such as sales over multiple quarters. In the context of the case study, the line chart might show whether sales are increasing, decreasing, or stabilizing, providing critical insights into business performance or seasonal cycles.

All charts should be embedded within an Excel spreadsheet along with their respective analyses, with the analyses written directly on the same tab as the charts for clarity. Proper citation in APA style should be provided if external sources are referenced in the analysis. This comprehensive approach ensures that the visual data representations are clearly explained and easily accessible for review or presentation purposes.

References

  • Microsoft. (2020). Create charts and graphs in Excel. Microsoft Support. https://support.microsoft.com/en-us/excel
  • Sharda, R., Delen, D., & Turban, E. (2020). Business Intelligence and Analytics: Systems for Decision Support. Pearson.
  • Few, S. (2012). Show Me the Numbers: Designing Tables and Graphs to Enlighten. Analytics Press.
  • Evergreen, S. (2017). Effective Data Visualization: The Right Chart for the Right Data. Sage Publications.
  • Kirk, A. (2016). Data Visualization: A Handbook for Data-Driven Design. Sage Publications.
  • Few, S. (2009). Now you see it: Simple Visualization Techniques for Quantitative Analysis. Analytics Press.
  • Yau, N. (2011). Data Points: Visualization That Means Something. Wiley.
  • Cleveland, W. S. (1993). Visualizing Data. Hobart Press.
  • Heer, J., & Bostock, M. (2010). Declarative Language Design for Interactive Visualization. IEEE Transactions on Visualization and Computer Graphics, 16(6), 1149-1156.
  • Knaflic, C. N. (2015). Storytelling with Data: A Data Visualization Guide for Business Professionals. Wiley.

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