# uo-ec607/lectures

Lecture notes for EC 607

Repository: https://github.com/uo-ec607/lectures
Canonical: https://ross.abutalabs.com/products/uo-ec607-lectures
Language: HTML
License: MIT
License Family: permissive
Last push: 2023-04-03T05:40:19+00:00

## Health v2 (maintenance only)
Score: 32/100 (v2, computed 2026-09-02T17:46:02.011165+00:00)
- activity 0, release rhythm 35, longevity 100
- inputs: {"age_days": 2798, "days_push": 1248, "days_rel": null, "gap_med": null, "n_releases_24m": 0}
- flags: no_releases
- formula: round(0.45*activity + 0.35*rhythm + 0.20*longevity); archived -> min(score, 10)

## Adoption (not part of the score)
Stars 1671, forks 655 (observed 2026-08-28T04:05:20.101023+00:00)

## What it is
A collection of open lecture notes for EC 607, a graduate course on data science for economists at the University of Oregon. The materials cover R programming, Git, the shell, data wrangling, web scraping, regression, and spatial analysis, provided as HTML, PDF, and R Markdown files.

## Use cases
- learn data science with R as an economist
- self-study version control with Git and GitHub
- learn shell and command-line basics for research
- learn data wrangling with tidyverse and data.table
- learn web scraping and working with APIs in R
- learn regression and spatial analysis in R

## When to choose
- you want a free, structured course on data science tools aimed at economics research
- you prefer learning through written lecture notes with runnable R Markdown sources
- you need a gentle introduction to Git, shell, and R for academic workflows

## When to avoid
- you need interactive videos or graded exercises rather than lecture notes
- you want deep machine learning or deep learning coverage
- you need a maintained, up-to-date curriculum - the last release was April 2023

## Facets
- artifact type: learning-resource
- maturity: maintenance
- function: data-science, web-scraping, developer-tools, documentation
- domain: data-science, education, tutorials
- platform: cross-platform
- tags: lecture-notes, r-language, econometrics, university-course, git, shell, tidyverse, data-wrangling, economics

## Member repositories
- uo-ec607/lectures (main) score 32

## Provenance
- Observed fields: from GitHub, fetched 2026-08-28T04:05:20.101023+00:00.
- Health v2: computed from the inputs above; adoption is never an input.
- Inferred fields (summary, facets, guidance): AI-extracted, prompt v1, taxonomy v1, on 2026-08-30T03:42:42.882967+00:00, confidence not recorded.
  - readme: https://github.com/uo-ec607/lectures (fetched 2026-08-28T04:05:20.101023+00:00, sha 11c0c778310f)
- Data as of 2026-08-30T08:39:29.467469+00:00.