Intro to R; DataFest 2018

John Little (@libjohn) & Joel Herndon (@herndonj) 2018-03-27

README

• Code

  • https://is.gd/datafest1
  • https://is.gd/datafest2

• Repo -- Datafest Intro2R repo

  • https://is.gd/datafest_r

This repository contains supporting datasets and files for our Intro to R workshop by the Data & Visualization Services Department, Duke University Libraries. You can find more information about our future and past workshops

• our guide can be found at our Rfun site

• More on R -- scroll down to R Resources

Outline

1. Download data by cloning repository: https://is.gd/datafest_r

2. New Project

3. New R Notebook

   1. Literate Coding: brief explanation
      1. New Code Chunk: Ctrl+Alt+I
      2. R Markdown: brief explanation
   2. library(tidyverse)

4. Load & View Tibble (data frame)

5. Data Structure & Data Types (brief)

6. dplyr -- part of tidyverse

   1. filter rows
   2. arrange rows by variables
   3. select columns
   4. mutate derive cells / new variables
   5. count column totals
   6. summarize grouping reports

7. Now You Try It. Hands on exercises.

   1. exercise_01.Rmd
   2. exercise_02.Rmd
   3. answers.Rmd

8. Basic Exploratory Data Analysis

   1. Read in new datasets
   2. library(skimr)

9. More dplyr -- join two datasets

   1. left_join to merge data

10. More Visualize with ggvis (syntactically simpler than ggplot2, but...)

    1. Basic visualization (Scatter Plot, Box Plot, Histogram, Bar Chart)
    2. Take the ggplot2 workshop, or see the materials
    3. Resource: https://rfun.library.duke.edu/intro2r/visualization.html

11. Our Training Materials

    1. R we having fun yet‽ https://rfun.library.duke.edu. Training materials for R.

       • 2018 Workshops: Intro to 2 / Visualization / Shiny / Mapping / Git / R Markdown

    2. Full DVS workshop series

12. Questions: Walk-in schedule and by appointment Data Science Consulting

License

Shareable via Creative Commons: CC-BY-NC