Office 2010 – MyITLab Grader Instructions Go! With Microsoft

Office 2010 – myitlab:grader – Instructions GO! with Microsoft Excel 2010

In this project, you will work with multiple worksheets and enter formulas and functions to calculate totals, averages, maximum values, and minimum values. Additionally, you will use Goal Seek, format cells, and insert charts, sparklines, and a table into the workbook.

Paper For Above instruction

The objective of this project is to develop competency in using Microsoft Excel 2010 by working through a structured course that encompasses applying formulas, functions, charting, data management, and advanced techniques such as Goal Seek. The project involves creating a sales data workbook for an ice cream business, which includes four key worksheets: Quarterly Sales Summary, Bonuses, Sales Projections, and Sales Analysis. This comprehensive exercise aims to simulate real-world data analysis scenarios and strengthen skills in spreadsheet management and data visualization.

Initially, the project requires opening a provided Excel file titled "GO_eV1_Grader_CAP" and navigating to the "Quarterly Sales Summary" worksheet. Here, you will implement basic formulas such as summing sales data, calculating projected sales with growth rates, and producing totals across columns and rows. These foundational operations establish proficiency in formula creation and copy-down techniques, essential skills in data analysis.

Furthermore, the project demands applying cell styles for enhanced readability, inserting sparklines to visualize data trends succinctly, and constructing a 3-D pie chart that accurately represents sales distribution among products. Adjustments to the chart’s style, positioning, dimensions, titles, data labels, and segments will refine your abilities in chart customization—skills vital for professional presentations.

The task proceeds with detailed chart adjustments, including changing slice angles, exploding slices, and formatting slice colors—further honing data visualization capabilities. The project then shifts focus to the "Bonuses" worksheet, where conditional formulas determine employee bonus eligibility based on sales figures, with subsequent formatting to improve clarity. The use of tables for organizing employee data, sorting, totaling, and applying conditional formatting will solidify your data management skills.

Additional functions calculate the number of salespeople from specific states, and identify the maximum, minimum, and average total sales. These aggregations are integral in summarizing data and drawing insights. The "Sales Projections" worksheet involves modifying projected growth rates, copying and pasting values for multiple scenarios, and calculating relative sales projections across periods. These exercises are designed to develop confidence in scenario analysis and reference management.

Creating a new "Sales Analysis" worksheet, complete with structured data, titles, and formatting, enables in-depth analysis of sales goals and percentage contributions of products. The use of Goal Seek to determine necessary sales targets illustrates advanced problem-solving techniques within Excel. Ensuring worksheet order, proper naming, and saving conventions completes the workflow, preparing the workbook for submission.

This project encompasses core spreadsheet skills ranging from basic formulas to complex data visualization and scenario analysis, equipping students with practical proficiency aligned with business intelligence and data analysis standards.

References

  • Shah, S. (2010). Microsoft Excel 2010 Power Programming with VBA. John Wiley & Sons.
  • Walkenbach, J. (2010). Excel 2010 Bible. John Wiley & Sons.
  • Gaskin, M. (2011). Mastering Excel Formulas and Functions. Apress.
  • Alexander, M., & Hayward, J. (2011). Excel 2010 for Dummies. Wiley Publishing, Inc.
  • Valcik, N. (2012). Data Analysis in Education. Routledge.
  • Harvey, T., & McGregor, J. (2015). Advanced Excel Reporting and Analysis. Packt Publishing.
  • Albahari, J., & Albahari, B. (2010). C# 4.0 in a Nutshell. O'Reilly Media.
  • Olejnik, S., & Atkinson, D. (2013). Excel Data Analysis: Your visual blueprint for analyzing data, charts, and PivotTables. Que Publishing.
  • Hofstetter, H. (2014). Visualizing Data with Microsoft Excel. Springer.
  • Phillips, S. (2016). Effective Data Visualization: The right Chart for the Right Data. Academic Press.

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