Data Visualization

Introduction

Overview

Teaching: 15 min
Exercises: 0 min
Questions

  • How do I read, analyze, and visualize a tabular data set?

  • How do I manipulate, summarize, and analyze data to answer a research question?

  • How do I choose the best chart to answer my research question?

  • How do I generate the best chart to answer my research question?

  • How do I produce a publication quality version of my chart?

Objectives

  • To interactively generate analysis code and save it in a file

  • To read tabular data into a data frame

  • To manipulate and summarize tabular data using dplyr

  • To generate publication quality charts using ggplot2

  • To critique others’ choices of charts and esthetics and express how to improve them

  • To access help(), vignette tutorials, and online documentation

  • To interpret common error/warning messages from dplyr and ggplot2

Welcome to the Software Carpentry lesson on Data Visualization for novices

Make sure you have followed the setup instructions before moving onto the next episodes.

You will also want to be sure that you have dplyr, tidyr, and ggplot2 installed in your R console.

install.packages("dplyr")
install.packages("tidyr")
install.packages("ggplot2")

Key Points