Data Analysis with R

Learn about what exploratory data analysis (EDA) is and why it is important.

Install RStudio and packages, learn the layout and basic commands of R, practice writing basic R scripts, and inspect data sets.

Learn how to quantify and visualize individual variables within a data set using histograms, boxplots, and transforms.

Practice using R functions and univariate visualizations to explore and understand individual variables.

Learn techniques for exploring the relationship between any two variables in a data set, including scatter plots, line plots, and correlations.

Practice using bivariate exploration techniques to explore relationships between variables.

Learn powerful methods for examining relationships among multiple variables, and find out how to reshape your data.

Practice using multivariate exploration techniques to look at more complicated relationships between multiple variables.

Put it all together in this case study where we investigate the diamonds data set alongside Facebook Data Scientist, Solomon Messing.