https://github.com/ireneflorez/exploration_r
Data exploration on the 'White Wine Quality' dataset using R
https://github.com/ireneflorez/exploration_r
data-analysis data-visualization r
Last synced: 8 days ago
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Data exploration on the 'White Wine Quality' dataset using R
- Host: GitHub
- URL: https://github.com/ireneflorez/exploration_r
- Owner: IreneFlorez
- Created: 2019-04-13T04:16:22.000Z (about 7 years ago)
- Default Branch: master
- Last Pushed: 2019-04-17T03:54:53.000Z (about 7 years ago)
- Last Synced: 2025-02-28T21:47:23.370Z (over 1 year ago)
- Topics: data-analysis, data-visualization, r
- Homepage:
- Size: 41 MB
- Stars: 0
- Watchers: 1
- Forks: 0
- Open Issues: 0
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Metadata Files:
- Readme: README.md
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README
# exploration_r
# Introduction
This project is a quick exploratory analysis project using R.
The aim of the project is to use R to explore the relationships between
data features.
We will be using a wine data set available at
http://www3.dsi.uminho.pt/pcortez/wine/.
'White Wine Quality' is a tidy dataset which contains 4,898 white wines
with 11 variables quantifying the chemical properties of each wine.
At least 3 wine experts rated the quality of each wine, providing
a rating between 0 (very bad) and 10 (very excellent).
We will use univariate, bivariate, and multivariate analyses to explore
the relationships between the data features and to tease out the quality
rating. You can read the final summary and reflection at the end of the rmd doc.