cm004.Rmd

---
title: "Exploratory data analysis"
output: html_document
---

```{r setup, include=FALSE}
knitr::opts_chunk$set(cache=TRUE)
```

# cm004 - April 4, 2018

## Overview

* Define *exploratory data analysis* (EDA) and types of pattern exploration
* Demonstrate types of graphs useful for EDA and precautions when interpreting them
* Practice exploring data

## Before class

* Read Chapters 7-8 from [R for Data Science](http://r4ds.had.co.nz/)

## Slides and class materials

* [Slides](extras/cm004_slides.html)
* [Exploratory data analysis](eda_defined.html)
* [Practice exploring college education (data)](eda_college.html)

### Cheat sheets

* [Data Visualization with `ggplot2` Cheat Sheet](https://www.rstudio.com/wp-content/uploads/2015/12/ggplot2-cheatsheet-2.0.pdf)

## What you need to do

* [Register your GitHub username for the course](https://goo.gl/forms/AI8bJOZv0niNzhPA2) - all remaining homework assignments will be in **private repositories**. Private repos can only be seen and edited by members of our [course organization](https://github.com/uc-cfss). Once you register your GitHub account, I will invite you to join the course organization. If you don't register your account, you won't have access to any of the homework assignments.
* [Begin/finish homework 2](hw02-explore-data.html)