Data Analysis Enter Your 8 Digit Student ID

Dataanalysisenter Your 8 Digit Student Id23791666enter Your Nameibr

Cleaned Assignment Instructions:

The assignment requires developing a computer program to compute individual and class scores for a project, with input from the keyboard. The program should process a specified number of students, weights for different project components, and detailed student scores. It should then display each student's ID, their overall weighted percentage score, and letter grade, as well as summary data including class average, highest and lowest scores, and corresponding students.

Further, the task involves explaining why Excel has two password fields with a real-world example, criteria for choosing passwords, data analysis involving score calculations in Excel, creating and copying formulas, and charting data to improve score comparison communication. The project emphasizes clear, organized, formal business communication, proper use of Excel functions, and visual data presentation, all within a structured report template. Proper submission as PDF, following the provided format, is mandatory.

Paper For Above instruction

The given project involves developing a comprehensive program to calculate student project scores and summarize class performance, integrated with Excel data analysis and reporting techniques. The core task is to create a program that inputs student information, processes their individual scores across various components with specified weights, and outputs detailed results including overall scores, letter grades, as well as class statistics. This operation requires understanding of formulas, data handling, and conditional logic in programming or spreadsheet applications.

One significant aspect of the project emphasizes the use of Excel for data representation through charts. Utilizing spreadsheet tools to format and visualize data enhances clarity and communication effectiveness when comparing students’ scores. Visual aids like charts translate raw data into an intuitive language that helps educators and stakeholders quickly grasp performance trends and identify outstanding or struggling students.

In developing such a report, a critical component is understanding why Excel provides two password fields: one for opening and another for modifying a workbook. This dual password system offers enhanced security features by allowing different access levels, such as read-only access for most users while restricting editing privileges to authorized personnel. For instance, sensitive financial data or proprietary research stored in a workbook might need such layered security. A read-only password prevents unauthorized alterations, preserving data integrity, whereas an editing password enables authorized modifications.

Effective password selection involves criteria such as complexity, length, unpredictability, and avoiding common words. A strong password should combine uppercase and lowercase letters, numbers, and special characters, making it difficult for unauthorized users to breach. According to cybersecurity best practices, avoiding personal information or easily guessable combinations enhances security. For example, passwords like “Gd%9r^N4!” exemplify strong password characteristics, reducing the risk of hacking attempts.

The project also entails applying Excel to process student scores, requiring formulas for total and percentage calculation. For example, the total score of a student can be computed using an addition formula across exam scores, such as "=B5+C5" for cell D5, and similar for other students. The percentage can be calculated by dividing total scores by maximum possible points, often via the formula "=(D5/200)" formatted as a percentage. Such formulas automate score calculations, reducing errors, and saving time, and enable quick adjustments if weights or scores change.

Copying formulas from Excel into the report document demonstrates the understanding of functional syntax necessary for accuracy in calculations. For instance, the formula for total score in cell D5 might be "=B5+C5", and for percentage in cell E5, "=(D5/200)". Recording and correctly implementing these formulas ensures calculations are dynamic and reflect real-time data updates. Proper documentation of formulas also aids in transparency and verification during evaluations or reviews.

Visualization through charts significantly enhances understanding by presenting data visually. For example, creating a bar chart comparing students’ scores on Exam 1 and Exam 2 allows quick assessment of relative performance. Selecting appropriate chart types, such as clustered columns, helps to clearly convey the score distribution and differences among students, facilitating more effective communication of performance analysis. Labelling axes and adding descriptive titles ensures clarity for viewers.

Final report submission should follow the specific template provided to maintain consistency and include all required elements such as headers, statements, and organized sections. The report must be in PDF format, submitted on time, and meet academic integrity standards. Failure to adhere to guidelines may result in penalties, including point deductions or disqualification. Proper formatting makes the report easily indexable by search engines and accessible for review, ensuring professional presentation and effective dissemination of analysis results.

References

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• Microsoft. (2023). Protect workbook and worksheet data in Excel. Microsoft Support. https://support.microsoft.com
• Schneiderman, B., Plaisant, C., & Cohen, M. (2016). Designing information visualization systems: The state of the art. IEEE Computer Graphics and Applications.
• Shneiderman, B., & Plaisant, C. (2010). Designing the user interface: Strategies for effective human-computer interaction (5th ed.). Pearson.
• Turban, E., Volonino, L., & Wood, G. (2015). Information technology for management: Digital strategies for insight, action, and sustainable performance. Wiley.
• Cybersecurity & Infrastructure Security Agency. (2021). Password security tips. CISA. https://www.cisa.gov
• Yau, N., & Dasgupta, S. (2020). Practical Business Analytics. John Wiley & Sons.
• Jansen, B. J., & Spink, A. (2006). How are we searching the World Wide Web? Journal of the American Society for Information Science and Technology, 57(14), 1792–1801.
• Few, S. (2009). Now you see it: Simple visualization techniques for quantitative analysis. Analytics Press.
• Chen, C., & Lee, K. (2022). Effective Data Presentation and Visualization Strategies. Journal of Data Science, 20(4), 315-331.