Water Quality Impact Analysis

Need to utilize formulas and the excel spreadsheet provided and charts on different tabs

1. Introduction and Problem Description (2+ pages)

o Explain the problem you’re addressing and the purpose of your project.

o Describe the source of the dataset, how you collected it, and what kind of data you used.

o Provide a list or table of the variables (data points) you used to solve the problem.

o Example: If youre studying how weather impacts sales, list variables like Temperature, Rainfall, and Sales.

2. Techniques Used to Analyze Data (2+ pages)

o Describe what data analysis methods you applied to the dataset to answer your problem.

o You can use methods covered in class (e.g., regression, clustering) or explore new ones.

o Example: For a weather-sales problem, you could apply linear regression to see how temperature affects sales.

3. Results (1+ page)

o Present your findings using graphs, figures, or outputs from Excel or R.

o Explain what the results show in relation to your problem. Do they support your initial questions or not?

o Example: Show a graph with sales vs. temperature and explain how temperature increases or decreases sales.

4. Challenges and Summary (1+ page)

o Describe any difficulties you faced in the project and summarize what you learned.

5. Appendix (Optional)

o If needed, add any detailed steps, such as Excel formulas or R code, here.

6. References

o List any books, articles, or websites you used for the project.