<commit_before>---
layout: page
title: Final Shiny App and Paper!
---

## Overview
  
The goal of this final project is to merge what you have learned from statistical
programming and create something useful for another researcher or future student to use. 

It is very important in the world of Big Data and Computing that we learn how to present and display material for audiences with diverse backgrounds to enage in. We need to take the code and the skills we have and put them to use for an audience that does not have the same skills. 

## Project Guidelines

### Individual Aspect

1. Go to the [Shiny](http://shiny.rstudio.com/) website.
  a. Explore the [gallery](http://shiny.rstudio.com/gallery/) of Project ideas. 
  b. Follow the [Tutorial](http://shiny.rstudio.com/tutorial/)
  c. To show you have done this, create a simple app that takes a standard normal statistic and displays the probability of achieving that value or greater in a standard normal distribution. In other words it takes a $z$ value and gives a p-value. 
    
### Group Aspect

2. As a group your first task will be to come up with an idea for a Shiny app and to write the code for this. In order to facilitate this more I will provide some structure. 
  a. Your app must allow a researcher to load in either data or a file. 
  b. Your app must display some type of interactive user interface aspects. 
    - For example - [Normal Calculator](http://shiny.sullivanstatistics.com/NormCalc): In this app I created depending on where the researcher wants to shade the normal distribution different boxes will pop up after the researcher makes a choice. 
  c. You app must display graphical as well as statistical output. 
  d. Your app must not be created copying code from an example app that is out there.
    - We want to make sure you are not plagerizing. In the Normal Calculator app I provided, it appears similar to the DistCalc app from the shiny gallery, however the code behind it comes from my own code and graphing work that I have done in the past. None was copied or pasted from another Shiny app.<commit_msg>try to fix project<commit_after>---
layout: page
title: Final Shiny App and Paper!
---

## Overview
  
The goal of this final project is to merge what you have learned from statistical
programming and create something useful for another researcher or future student to use. 

It is very important in the world of Big Data and Computing that we learn how to present and display material for audiences with diverse backgrounds to enage in. We need to take the code and the skills we have and put them to use for an audience that does not have the same skills. 

## Project Guidelines

### Individual Aspect

1. Go to the [Shiny](http://shiny.rstudio.com/) website.
    - Explore the [gallery](http://shiny.rstudio.com/gallery/) of Project ideas. 
    - Follow the [Tutorial](http://shiny.rstudio.com/tutorial/)
    - To show you have done this, create a simple app that takes a standard normal statistic and displays the probability of achieving that value or greater in a standard normal distribution. In other words it takes a $z$ value and gives a p-value. 
    
### Group Aspect

2. As a group your first task will be to come up with an idea for a Shiny app and to write the code for this. In order to facilitate this more I will provide some structure. 
  a. Your app must allow a researcher to load in either data or a file. 
  b. Your app must display some type of interactive user interface aspects. 
    - For example - [Normal Calculator](http://shiny.sullivanstatistics.com/NormCalc): In this app I created depending on where the researcher wants to shade the normal distribution different boxes will pop up after the researcher makes a choice. 
  c. You app must display graphical as well as statistical output. 
  d. Your app must not be created copying code from an example app that is out there.
    - We want to make sure you are not plagerizing. In the Normal Calculator app I provided, it appears similar to the DistCalc app from the shiny gallery, however the code behind it comes from my own code and graphing work that I have done in the past. None was copied or pasted from another Shiny app.
{'fraction_non_alphanumeric': 0.04743833017077799, 'fraction_numerical': 0.0009487666034155598, 'mean_word_length': 3.644273127753304, 'pattern_counts': {'":': 0, '<': 3, '<?xml version=': 0, '>': 3, 'https://': 0, 'lorem ipsum': 0, 'www.': 0, 'xml': 0}, 'pii_count': 0, 'substrings_counts': 0, 'word_list_counts': {'cursed_substrings.json': 0, 'profanity_word_list.json': 0, 'sexual_word_list.json': 0, 'zh_pornsignals.json': 0}}
{'dir': 'git-commits-cleaned', 'id': '4640863', 'n_tokens_mistral': 1076, 'n_tokens_neox': 1019, 'n_words': 677}