Data Science Project on Wine Quality Prediction in R

In this R data science project, we will explore wine dataset to assess red wine quality. The objective of this data science project is to explore which chemical properties will influence the quality of red wines.


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What will you learn

  • Data Exploration

  • Asking the right questions for analysis

  • Data Visualisation

  • Storytelling

  • Applying regression models

Project Description

In this data science project, we will explore wine dataset for red wine quality. The objective is to explore which chemical properties influence the quality of red wines. As interesting relationships in the data are discovered, we’ll produce and refine plots to illustrate them.

We will learn how to ask the right questions for data analysis at certain points in the project. Finally, we would learn how to storyboard our analysis to create a final picture from our work to help decision makers understand how wine qualities were influenced.

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Curriculum For This Mini Project

  Why we're using R and its benefits
  Introduction to Exploratory Data Analysis
  Exploring the key components of a dataset
  Data Munging
  Introducing the dataset and problem statement
  Univariate Plots Section
  Analysis of Plots
  Introduction to Boxplots
  Correlation and Bivariate Analysis
  Linear Model and Support Vector Machine Introductions
  Multivariate plot building and storyboarding
  Summarizing and beautifying the story