READ ME

I have most recently uploaded R Markdown files from my Software for Data Analysis class from Fall 2018 which document my coursework.

About the class:

This course provides an understanding of the principles and concepts of using computer tools for data analysis and visualization. Students will learn to use a programming language (SAS and R) to wrangle and analyze data, and statistical modeling techniques will be introduced. Written reports will prepare students for clear communication of their analysis in professional settings.

Contents:

• 1.1 - Introduction to R

  General and brief overview of the R programming language

• 1.2 - Effect Plots and Model Selection

  Categorical predictors, effect plots, and model selection procedures in R and Stata

• 1.3 - Model Selection Continued

• 1.4 - ggplot2 and Diamonds

  Explore how to create various types of plots in R using the diamonds data set

• 1.5 - Join and Tidy Data

  Covers the main types of joins and ways to tidy-transform data to facilitate merging information

• 1.6 - Gapminder and More Tidy-transforming

  Practice more tidy verbs to help us better understand and visualize the gapminder data

If you spot any mistakes or have any clarifications, feel free to drop me a message via gmoreno482@gmail.com or Twitter!