About This Course
This course covers the essential exploratory techniques for summarizing data. These techniques are typically applied before formal modeling commences and can help inform the development of more complex statistical models. Exploratory techniques are also important for eliminating or sharpening potential hypotheses about the world that can be addressed by the data. We will cover in detail the plotting systems in R as well as some of the basic principles of constructing data graphics. We will also cover some of the common multivariate statistical techniques used to visualize high-dimensional data.
What You’ll Learn
➤ Understand analytic graphics and the base plotting system in R
➤ Use advanced graphing systems such as the Lattice system
➤ Make graphical displays of very high dimensional data
➤ Apply cluster analysis techniques to locate patterns in data
Skills You’ll Gain
➤ Cluster Analysis
➤ Ggplot2
➤ R Programming
➤ Exploratory Data Analysis
What you will learn from this course
Module 1 – Analytical Graphics & Base plotting system
➤ Installing R on Windows (3.2.1)
➤ Installing R on a Mac (3.2.1)
➤ Installing R Studio (Mac)
➤ Setting Your Working Directory (Windows)
➤ Setting Your Working Directory (Mac)
➤ Principles of Analytic Graphics
➤ Exploratory Graphs (part 1)
➤ Exploratory Graphs (part 2)
Module 2 – More advanced graphic systems (17 hours to complete)
➤ Lattice Plotting System (part 2)
➤ ggplot2
Module 3 – Statistical methods for exploratory analysis
➤ Hierarchical Clustering
➤ K-Means Clustering
➤ Dimension Reduction
➤ Working with Color in R Plots
Module 4 – Case study
➤ Clustering case study
➤ Air pollution case study