/Explore-and-Summarize-Data

Project part of Udacity’s Data Analyst Nanodegree

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Explore and Summarize Data

Project part of Udacity’s Data Analyst Nanodegree

Project Overview

In​ ​this​ ​project, R is used to apply​ ​exploratory​ ​data​ ​analysis​ ​techniques​ ​to​ ​explore​ ​a data​ ​set​ ​for distributions,​ ​outliers,​ ​and​ ​anomalies. The aim is to explore which chemical properties influence the quality of White wines.

Installations

Reguired installations:

  • RStudio

Required packages:

  • ggplot2
  • knitr
  • dplyr
  • reshape2
  • gridExtra
  • corrplot
  • RColorBrewer

Files

  • 'WhiteWineQualityExplorationByLinnOlsson.Rmd': R Markdown file containing the analysis
  • 'WhiteWineQualityExplorationByLinnOlsson.html': R Markdown file containing the analysis in HTML format
  • 'wineQualityWhites.csv': File containing data on white variants of the Portuguese "Vinho Verde" wine