Final Project Grade

[ShanEllis]

Final Project Grade

Score (out of 15 pts)

Score = 14.65

Rubric

Notes: Checked checkbox means that you earned this rubric item. Uncheck box indicate you did not (fully) earned this rubric item. See the Notes for details.

• Overview (0.5 pt):

  • Write a clear overview of the project including results (0.25pts)
  • Include - Names/Title (0.25)
  • Notes: abstract should be more concise. -0.1

• Research Question (0.5 pt):

  • Include a specific, clear data science question relevant to the scope of the course. (0.25)
  • Variables needed to answer the question are clear (0.25)
  • Notes:

• Background & Prior Work and Hypothesis (0.5 pts):

  • Cite and explain the work done previously and how you used info from the same. (0.25)
  • Relevant/Cogent hypothesis included and explained clearly (0.25)
  • Notes:

• Data Description/ Datasets (0.75 pts):

  • Datasets clearly stated and source, links, No. of observations, nature of observations (0.5)
  • Description of data attributes and dataset provided (0.25)
  • Notes:

• Data Cleaning/Processing (0.75 pts):

  • Cleaning procedure/requirement needs to be shown/stated and if no cleaning required that too should be stated along with reason. (0.5)
  • Cleaned data should be demonstrated (0.25)

• Data Visualizations (3 pts): minimum of 3 viz required; divide points by N visualizations

  • Plots that make sense & give useful information (2)
  • Figure explains itself on axes/legend/caption OR text surrounding explains it (1)

• Data Analysis and Results (4.5 pts) divide points by N analyses performed

  • Analysis chosen was appropriate to answer research question (1.5 pts)
  • Analysis was performed in a technically correct manner (1.5 pts)
  • Output of analysis interpreted and interpretation included in notebook (1.5 pts)
  • *Notes: *

• Privacy/Ethics Considerations (1.5 pts):

  • Thoughtful discussion of ethical concerns. NB: bare minimum examine potential unintended consequences of work and sources of bias (1 pts)
  • Ethical concerns consider the whole data science process (question asked, data collected, data being used, the bias in data, analysis, post-analysis, etc.) (0.25 pts)
  • How your group handled bias/ethical concerns clearly described (0.25 pts)
  • Notes: "To mitigate these biases, we will conduct thorough exploratory data analysis to identify any imbalances and employ strategies such as stratification or oversampling to ensure equitable analysis" < didn't follow the proposed strategies - 0.25

• Conclusion & Discussion (1.5 pts):

  • Clear conclusion (answer to the question being asked) and discussion of results (1 pts)
  • Limitations of analysis discussed (0.5 pts)
  • Does not ramble on beyond providing necessary information

• Documentation/ Written Communication (1.5 pts):

  • Code errors / code purpose not clear in comments or surrounding text (0.75 pts)
  • Narrative structure of the report: (0.75pts)
    • The report clearly supports the main points of the conclusion
    • Doesn’t go down a bunch of side streets that aren’t important
  • Notes:

Comments

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