Projects
Note
Course evaluation is based on Projects
- Find a friend : all work done by pairs of students
- Create a single private
GitHubrepository for each project and each pair of students. You may use your github account to do that. - Name the repository
MA7BY020-2026-xxwherexxis the project number - Grant me access to these repositories
- In the
README.mdfile at the root of your repository, list the name (last name, first number, and student id number) of each team member - All work is transmitted through your private repository and nowhere else
- No emails for project submission
- All projects deliverables (report and presentation support) consist of
Quartonotebooks. I should be able to fork your repository and usequarto renderto generate the deliverable.
| Due date | Title | Description | Tags |
|---|---|---|---|
| Mar 1, 2026 | Data wrangling and Visualization | Data extraction, wrangling, visualization, reproducible data science | OECD, Visualization, Quarto, tidyverse, plotly |
| May 1, 2026 | Regression SVD methods and Voting data | Regression, SVD, Clustering, | Regression”, PCA, Clustering, Quarto |
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WarningEvaluation guidelines
Grading criteria are given per project. They involve the following aspects:
| Criterion | Points | Details |
|---|---|---|
| Narrative, spelling and syntax | English/French | |
| FAIRness | FAIR principles at Wikipedia | |
| Plots correction | choice of aesthetics, geom, scale … |
|
| Plots style | Titles, legends, labels, breaks … | |
| Table wrangling | ETL, SQL like manipulations | |
| Computing Statistics | Aggregations, LR, PCA, CA, … | |
| DRY compliance | DRY principle at Wikipedia | |
| Report organization | ||
| Code organization |