Project Milestone: 2nd Progress Report
Fundamentals of Data Science
MTH-391A | Spring 2025 | University of Portland
March 17, 2025
1st Progress Report
1st Progress Report: Summarize early work on data
acquisition, cleaning, and exploratory data analysis.
Requirements:
- Description of datasets obtained, including sources and key
features.
- Initial data cleaning steps (e.g., handling missing values, removing
duplicates).
- Preliminary insights from data exploration (e.g., summary
statistics, visualizations).
- Updates on challenges encountered (e.g., data quality issues) and
resolutions.
2nd Progress Report
2nd Progress Report: Focus on finalizing data
visualizations, exploratory analyses, and refining data preparation,
with modeling as a secondary consideration.
Requirements:
- Comprehensive set of data visualizations that clearly convey trends,
patterns, and key insights.
- Advanced exploratory analyses, including temporal plots, spatial
maps, and network graphs.
- Initial modeling attempts, with a focus on establishing a baseline
or proof-of-concept models.
- Discussion of insights derived from visualizations and how they
influence modeling decisions.
\(\star\) Your report
(.Rmd, .html, and the 3-slide presentation)
for this milestone will be due on the next milestone of the project. The
in-between phases will serve as check-ins.