---
title: "Lec 18 - Shiny"
subtitle: "<br/> Statistical Programming"
author: "Sta 323 | Spring 2022"
date: "<br/> Dr. Colin Rundel"
output:
  xaringan::moon_reader:
    css: ["slides.css"]
    lib_dir: libs
    nature:
      highlightStyle: solarized-light
      highlightLines: true
      countIncrementalSlides: false
      ratio: "16:9"
---
exclude: true

```{r, message=FALSE, warning=FALSE, include=FALSE}
options(
  htmltools.dir.version = FALSE, # for blogdown
  width = 80,
  tibble.width = 80
)

knitr::opts_chunk$set(
  fig.align = "center"
)

library(dplyr)
```

---

## Final Projects

For the final project you will be asked to do something interesting with something that we have learned in this class. 

Almost anything vaguely related to statistical computing is fine

* The final project will be due on Friday, April 29th by 5:00 pm.

* You can form your own team of up to 5 students to work on the project

* Examples of previous projects: shiny apps, data scraping, data analysis, visualizations, and combinations of the above

* Deliverable include all necessary source code and a detailed Rmd based report

* Proposals due Monday, April 1st (requirements: team name, members, 1 paragraph description)


---
class: center, middle

# Shiny live demo - ABC
