Skip to content

In this project, I analyze red wine and white wine quality and their relevant chemical components. I use R and some packages including GGplot, GGally, Dplyr, gridExtra, RColorBrewer, and reshape2.

Notifications You must be signed in to change notification settings

naseerfaheem/EDA_wine_quality

Repository files navigation

EDA_wine_quality

Introduction:

This tidy data set contains 1,599 red wines with 12 variables and 4898 white wines with 11 variables on the chemical properties of the wine. At least 3 wine experts rated the quality of each wine, providing a rating between 0 (very bad) and 10 (very excellent). For the sake of analysis, I combined both datasets into one dataset. I created a new variable designating the type of the wine, whether red or white wine.

The datasets were provided by Udacity under their Data Analyst Nanodegree program.

Packages Needed to run the project:

In order to run the project, you will need to have the following R packages installed:

  1. ggplot2
  2. dplyr
  3. reshape2
  4. RColorBrewer
  5. GGally
  6. gridExtra

This project also comes with an HTML file. You could use the html file if you cannot run the project.

About

In this project, I analyze red wine and white wine quality and their relevant chemical components. I use R and some packages including GGplot, GGally, Dplyr, gridExtra, RColorBrewer, and reshape2.

Resources

Stars

Watchers

Forks

Releases

No releases published

Packages

No packages published

Languages