filippopetroli/udacity-red-wine-quality — explained in plain English
Analysis updated 2026-07-18 · repo last pushed 2016-05-20
Practice exploratory data analysis techniques on a real red wine dataset.
Create scatter plots and histograms in R to spot relationships between wine properties.
Learn how alcohol content and acidity relate to wine quality ratings.
Follow a Udacity-style workflow for asking questions about data before drawing conclusions.
| filippopetroli/udacity-red-wine-quality | 100/rutgers-pbl-dining-2015 | a15n/a15n_old | |
|---|---|---|---|
| Language | HTML | HTML | HTML |
| Last pushed | 2016-05-20 | 2015-12-01 | 2016-06-18 |
| Maintenance | Dormant | Dormant | Dormant |
| Setup difficulty | moderate | easy | easy |
| Complexity | 2/5 | 1/5 | 1/5 |
| Audience | data | general | general |
Figures from each repo's GitHub metadata at analysis time.
README doesn't include the wine dataset itself, you need to source it separately, e.g. from Kaggle or UCI.
An exploratory data analysis project that visualizes red wine data in R to uncover what makes some wines rated higher quality than others.
Mainly HTML. The stack also includes R, ggplot2.
Dormant — no commits in 2+ years (last push 2016-05-20).
Setup difficulty is rated moderate, with roughly 30min to a first successful run.
Mainly data.
This repo across BitVibe Labs
double-check against the repo, no cap.