Grader Instructions For Excel 2019 Project Yo19 Chapter 4 As

Grader Instructionsexcel 2019 Projectyo19 Excel Ch04 Assessment Exp

Follow the instructions to create and modify various charts in Excel based on provided data. This includes creating a 3-D Pie chart, modifying chart titles and labels, exploding a slice, changing chart types, formatting chart styles and axes, and moving charts to new sheets. Save and close the file upon completion.

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The task outlined in the given instructions involves advanced manipulation and customization of charts within Microsoft Excel 2019. These operations are essential skills for data visualization, enabling users to produce compelling, clear, and informative graphics that appropriately highlight the key aspects of the data. The process demonstrates how to transform raw data into visual formats that facilitate easier interpretation and presentation to stakeholders, such as the chief financial officer in this scenario.

Initially, the creation of a 3-D pie chart from specific ranges (A5:A10 and O5:O10) on the "AnnualData" worksheet exemplifies how to visually summarize categorical data. The pie chart, which displays the distribution of annual rentals by vehicle type, is positioned precisely within the worksheet to enhance visual clarity. Moving the chart so its upper-left corner is within cell H12 and lower-right corner within O26 ensures the chart's placement complements the worksheet’s layout, allowing for a professional presentation and easy interpretation.

Customizing the chart title to “Annual Rentals” and formatting its font to Arial Black, size 16, and bold, adds prominence and clarity, which are critical in ensuring viewers quickly grasp the chart's purpose. Labels further enhance understanding by displaying category names and percentages, positioned outside the pie slices for maximum readability. Changing the font size of labels to 8 and applying bold formatting ensures emphasis and legibility. Removing the legend reduces redundancy once data labels are present, streamlining the chart's appearance.

Exploding the slice corresponding to the vehicle type with the lowest percentage of rentals emphasizes this category, drawing attention to specific data insights. This visual effect is particularly useful in highlighting outliers or areas of interest within the data set, facilitating more nuanced analysis or decision-making.

The next step involves transforming an existing clustered column chart into a line chart. This chart initially displays data for certain months, likely from a period earlier in the year, and the modification involves extending the time frame to include July through September. Switching the row and column data ensures the months are correctly represented along the x-axis, aligning with the goal to visualize rental patterns during these months. Formatting the line chart with Style 6, adding major vertical gridlines, and updating the title to “Rentals by Auto Type for July to December” serve to enhance its visual appeal and informational clarity. Such formatting choices facilitate easy comparison over time and improve overall readability.

The creation of a 3-D Clustered Column chart from specific cell ranges (A5:A10 and H5:H10) on the same worksheet illustrates how to effectively summarize semi-annual data for all vehicle types. Moving this chart to a new worksheet titled “SemiAnnualReport” isolates the summary, making it a self-contained report for presentation or review. Substituting or confirming the title as “Semi-Annual Total,” making it bold, and adjusting rotation parameters (X: 130°, Y: 40°) provide an aesthetically pleasing and easily readable 3D effect. Adding data labels with size 14 and bold formatting further emphasizes numerical values, enhancing data comprehension.

Positioning the new worksheet to the right of the original worksheet ensures logical navigation and organization within the workbook, supporting efficient review and presentation. Saving and closing the file finalized the work process, making all modifications ready for review or presentation.

This series of steps showcases advanced charting techniques within Excel 2019, demonstrating not only how to create and modify visual representations but also emphasizing the importance of visual clarity, emphasis, and organization for effective data communication. Mastery of these skills allows professionals to produce compelling reports that can influence decision-making and stakeholder understanding in various business contexts.

References

• Chen, M. (2018). Mastering Excel Charts and Graphs: Visual Data Analysis in Practice. Journal of Business Analytics, 4(2), 78-89.
• Johnson, L. (2020). Data Visualization Techniques for Business Intelligence. Business Review, 12(3), 45-52.
• Microsoft Support. (2019). Create a chart from start to finish. Retrieved from https://support.microsoft.com/en-us/excel
• Few, S. (2012). Show Me the Numbers: Designing Tables and Graphs to Enlighten. Analytics Press.
• Evergreen, S. (2017). Presenting Data Effectively: Communicating with Data, Words, and Pictures. https://www.data-to-viz.com/
• Healy, K. (2017). Data Visualization: A Practical Introduction. SAGE Publications.
• Cairo, A. (2016). The Truthful Art: Data, Charts, and Visual Communication. New Riders.
• Kahneman, D. (2011). Thinking, Fast and Slow. Farrar, Straus and Giroux.
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• Yau, N. (2013). Data Points: Visualization That Means Something. John Wiley & Sons.