Employee Scores 2016: Evaluation Of Productivity At Work

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Scores 2016 Employee Evaluations Employee Productivity Work Quality Initiative Working Relations Writing Skills Employee Average Ratings Adam 4.50 5.00 4.00 3.50 4.00 4.20 Belinda 5.00 4.50 5.00 4.00 5.00 4.70 Denise 3.00 3.00 2.00 4.00 3.50 3.10 Eli 4.00 4.50 4.00 3.50 3.00 3.80 Grant 3.50 2.50 3.00 4.00 3.50 3.30 Averages 4.00 3.90 3.60 3.80 3.80 3.82 Office 2013 – myitlab:grader – Instructions Exploring - Excel Chapter 3: Assessment Project 1 Employee Evaluations Project Description: In this project, you will analyze employee evaluations in your department. As manager, you evaluated employees on five criteria: Productivity, Work Quality, Initiative, Working Relations, and Writing Skills. You have rated each employee with a score of 1 to 5. You need to create charts and insert Sparklines to depict the data visually. Instructions: For the purpose of grading the project you are required to perform the following tasks: Step Instructions Points Possible 1 Start Excel. Open the downloaded Excel file named exploring_e03_grader_a1.xlsx. 0 2 Select the range B4:F8 (the employee ratings) and create a column sparkline in the range H4:H8. 10 3 Apply the Sparkline Style Accent 1, Darker 50% style to the sparklines. 6 4 Show the High Point. Apply Dark Red as the marker color for the Low Point. 6 5 Change the row height to 25.00 for rows 4 through 8. 6 6 Select the range A3:F8 and create a clustered bar chart. Position the chart in the range A12:G40. 10 7 Apply Style 12 chart style. 5 8 Type 2016 Employee Evaluations by Category as the chart title. Apply Blue, Accent 5, Darker 25% font color to the chart title. 7 9 Change the Maximum Bounds for the value axis to 5.0. 6 10 Select the ranges A3:A8 and G3:G8, create a clustered column chart, and move this chart to a new chart sheet named Overall Evaluations. 10 11 Make sure the column chart is selected. Type Overall Evaluation Scores for 2016 as the chart title. Apply bold and change the font size to 18 pt for the chart title. 6 12 Make sure the column chart is selected. Add data labels in the Outside End position. Apply bold and 12 pt font size to the data labels. Apply the default Gradient fill color to the data labels. 10 13 Apply a solid Dark Blue fill color to the data series. 6 14 Bold and apply 12 pt size to the value axis. Set the number of decimal places to 1 for the value axis. 6 15 Bold and apply 12 pt size to the category axis. Apply Dark Blue font color to the category axis. 6 16 Ensure that the worksheets are correctly named and placed in the following order in the workbook: Overall Evaluations, Scores. Save the workbook. Close the workbook, and then exit Excel. Submit the workbook as directed. 0 Total Points 100 Updated: 03/06/2013 1 E_CH03_EXPV1_A1_Instructions.docx

Paper For Above instruction

Analyzing employee evaluations through data visualization is a critical aspect of human resource management, providing insights into employee performance and departmental trends. The project outlined requires a systematic approach to data analysis and presentation using Excel, emphasizing how graphical tools like Sparklines and charts can enhance understanding of evaluation scores across different categories. This paper details the process and rationale behind creating these visual representations, reflecting best practices in data visualization for performance review analysis.

The initial step involves opening and preparing the Excel workbook "exploring_e03_grader_a1.xlsx." Once the data is loaded, the next crucial step is to visualize individual employee scores using Sparklines, compact charts embedded within cells that reveal trends and patterns at a glance. Selecting the range B4:F8, which contains the employee ratings across various criteria, allows for the creation of column Sparklines in H4:H8. Applying the "Accent 1, Darker 50%" style ensures a visually appealing and professional look, which is essential for effective interpretation.

Enhancing Sparklines with markers such as high points and low points provides additional context, highlighting peak and trough scores. For example, showing the High Point and customizing the Low Point marker color to Dark Red emphasizes the lowest scores, drawing attention to areas needing improvement. Adjusting the row height to 25 ensures that the Sparklines are displayed clearly and consistently, maintaining readability and visual balance within the worksheet.

The next phase involves creating comprehensive visual summaries of employee evaluations through bar and column charts. Selecting the range A3:F8, which includes employee names and their scores, and creating a clustered bar chart positioned within A12:G40 facilitates easy comparison across individuals and categories. Applying "Style 12" ensures a clean and refined appearance consistent with corporate standards.

Customizing the chart involves titling it "2016 Employee Evaluations by Category," and applying a specific font color—Blue, Accent 5, Darker 25%—to align with branding or aesthetic preferences. Setting the maximum bounds of the value axis to 5.0 standardizes the scale, making the scores directly comparable and improving interpretability.

The project further emphasizes the importance of summarizing overall evaluation scores. Selecting the employee names and their overall scores and creating a clustered column chart in a new sheet called "Overall Evaluations" allows for a focused examination of overall performance. Adjustments such as titling the chart "Overall Evaluation Scores for 2016," increasing the font size to 18 pt, and bolding the title enhances readability and emphasizes the chart's importance.

Adding data labels positioned outside the columns provides precise numerical context. Formatting these labels with bold text at 12 pt and applying gradient fills improves visual clarity. Additionally, customizing the data series with a solid Dark Blue fill creates contrast, making the chart aesthetically pleasing and easy to interpret. Attention to axis labeling—bolding and increasing font sizes, and using Dark Blue for category labels—further enhances readability.

Finally, ensuring the correct organization and naming of worksheets in the specified order aids in document professionalism and clarity. Saving, closing, and submitting the completed workbook completes the project, demonstrating proficiency in data visualization within Excel. This structured approach not only provides visual insights into employee evaluations but also exemplifies best practices in creating professional, clear, and informative spreadsheets that facilitate better decision-making.

References

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