---
title: "Lab 4"
subtitle: "Statistical Computing & Programming"
author: ""
institute: ""
date: "06-08-20"
output:
  xaringan::moon_reader:
    css: "slides.css"
    lib_dir: libs
    nature:
      highlightStyle: github
      highlightLines: true
      countIncrementalSlides: false
editor_options: 
  chunk_output_type: console
---

```{r include=FALSE}
knitr::opts_chunk$set(echo = TRUE, message = FALSE, warning = TRUE,
                      comment = "#>", highlight = TRUE,
                      fig.align = "center")
```

## Getting started

- Navigate to your individual repo, `lab4-[github_username]`

<br/>

- Open an RStudio (Pawn or Rook) session; then go to
    - `File` > `New Project`
    - select `Version Control`
    - select `Git`
    - paste the repository URL - available at your GitHub 
      repo `lab4-[github_username]` when you click `Clone or download` and then
      `Clone with HTTPS`
    - Click `Create Project`
    
<br/>

- This is an individual lab, but work together with your team as you develop
  your R Shiny application.

<br/><br/>

<i>
You may do this on your local machine if you have git configured with 
R/RStudio. 
</i>

---

## Brexit polls

<img src="images/brexit_polls.png">

To access [Brexit Polls Explorer](http://num1.stat.duke.edu:3939/brexit_polls/)
connect via Duke's VPN.

---

## Today's objectives

- Follow along as the TA gets you started with R Shiny.

- Complete Lab 4 (24 hours to submit this individual lab)

    - Work with those in your group in a breakout room
    - Grade is for effort and completion
    - This lab will be helpful for your final Project
    - If you finish early, challenge yourself by customizing the app further
    
---

## Helpful resources

- Date range input: https://shiny.rstudio.com/reference/shiny/0.14/dateRangeInput.html

- Select input: https://shiny.rstudio.com/reference/shiny/latest/selectInput.html

- Shiny widgets gallery: http://shiny.rstudio-staging.com/gallery/widget-gallery.html