Appendix B is a printout or screenshots of your data exploration and R-code that can re-create the exploratory data visualisations associated with the graphs presented in the one-page report. Overall, the assessment is designed to help you develop your R and data communication skills. Appendix B does not have a word count.
Elements to Include the Memo:
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Introduction: Provide a brief overview of the topic, including the purpose and
context of the report.
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Key Findings: Use charts, graphs, or other visual elements to highlight the
most important findings from the research.
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Conclusion: Summarize the main takeaways from the report, addressing the
manager’s requirements. If applicable, include a call to action.
Guidance on Data Analysis:
Note: the original memo, data, and data dictionary will be provided to you separately.
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It is important to emphasise that there is no single correct answer to the
assignment. The data set involves many different dimensions for you to explore, and some aspects and dimensions of the data are likely to be more useful than others. Therefore, it is important that you systematically explore the different variables in the dataset before starting your assignment.
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Although you may create many graphs for your assessment (e.g., histograms to better understand the data), you only want to include figures that support your main findings.
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Remember that your data exploration and visualisations should well support your conclusions. You should also outline key assumptions or limitations in your datadriven conclusions.
Tips for the Technical Appendix:
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Explain your methodology: Describe the methods you used to select and clean the data, including any pre-processing or data-wrangling techniques you used. Be sure to explain why you made your choices and how they relate to the problem you were trying to solve.
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Detail your analysis process: Describe how you analysed the data, including any statistical techniques you used. Explain how you arrived at your conclusions, including any graphs, tables, or summary statistics that helped guide your analysis.
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Include visuals: Include relevant graphs, charts, or other visual aids in your
technical appendix to help illustrate your points and make your analysis more
accessible.
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Be transparent about any limitations: Be transparent about any limitations of your analysis, such as missing data or sample size limitations, and explain how you accounted for these limitations.
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Keep it concise: While it's important to be specific and thorough, it's also
important to be concise since you only have 500 words. To ensure that you
maximize your space, take time to edit and revise your Appendix.