Materials for the Project in COGS108.
Templates have been provided in your group's project repo.
- Proposal: ProjectProposal_groupXXX-Fa22.ipynb
- Checkpoint #1: DataCheckpoint_groupXXX-Fa22.ipynb
- Checkpoint #2: EDACheckpoint_groupXXX-Fa22.ipynb
- Final Report: FinalProject_groupXXX-Fa22.ipynb
Students often ask for a rubric. You can use this checklist to help guide your thinking on the final project. If you check off all the boxes below, you should be in good shape to get a perfect score on your final project.
Overview:
- Write a clear summary of what you did
- Briefly describe the results of your project
- Limit overview to 3-4 sentences
Research Question:
- Include a specific, clear data science question
- Make sure what you're measuring (variables) to answer the question is clear
Background & Prior Work:
- Include a general introduction to your topic
- Include explanation of what work has been done previously
- Include citations or links to previous work
Hypothesis:
- Include your team's hypothesis
- Ensure that this hypothesis is clear to readers
- Explain why you think this will be the outcome (what was your thinking?)
- Include an explanation of dataset(s) used (i.e. features/variables included, number of observations, information in dataset)
- Source included (if outside dataset(s) being used)
Data Cleaning & Pre-processing
- Perform Data Cleaning and explain steps taken OR include an explanation as to why data cleaning was unnecessary (how did you determine your dataset was ready to go?)
- Dataset actually clean and usable after data wrangling steps carried out
Data Visualization:
- Include at least three visualizations
- Clearly label all axes on plots
- Type of all plots appropriate given data displayed
- Interpretation of each visualization included in the text
Data Analysis & Results:
- EDA carried out with explanations of what was done and interpretations of output included
- Appropriate analysis performed
- Output of analysis interpreted and interpretation included in notebook
- Thoughtful discussion of ethical concerns included
- Ethical concerns consider the whole data science process (question asked, data collected, data being used, the bias in data, analysis, post-analysis, etc.)
- How your group handled bias/ethical concerns clearly described
- Clear conclusion (answer to the question being asked) and discussion of results
- Limitations of analysis discussed
- Does not ramble on beyond providing necessary information
- Question asked is clear to listeners
- Effective visualizations presented
- Clear explanations throughout
- Take home message clear
- Within 3-5 min time limit
- Edit all text for clarity
- Remove all instructions
- Be sure text included throughout to guide reader
- Check to make sure all text and images are visible
- Names included
- Renamed file :
FinalProject_groupXXX-Fa22.ipynb, where 'XXX' is replaced by your group's group number
- If you checked YES to make project public: the final project notebook (and only that!) will be placed in a repo with the rest of this quarters public reports. This helps future students by providing examples!
- Your projct repo will remain available to you in the near future. We cannot guarentee that will always be the case. That repo will never be public.
- If you would like your own copy of the entire repo you should follow these instructions: https://docs.github.com/en/repositories/creating-and-managing-repositories/duplicating-a-repository Once you have done that it is yours forever. You will also be able to control access to the mirror (make it public or private as you would prefer)
The content of this project itself is licensed under the Creative Commons Attribution 3.0 Unported license.
