intro.Rmd

# (PART) Getting Started {-}

# Introduction {#intro}

![](images/banners/banner_intro.png)

## Overview
This chapter introduces how this resource is organized, explains how you can add to this resource, and includes some general acknowledgments.  

## Types of Assistance

Chapters in this resources are color-coded to indicate the type of assistance the chapter provides. Below is an explanation of each type:

### Information (Blue)

![](images/banners/banner_blue.png)

Blue pages contain basic **information**. Examples of blue pages include this introduction page and the [basics page](basics.html), which explains how to setup R/RStudio as well as ways to get help if you need it. Blue pages are the help desk of this resource: look to them if you are lost and need to find your way.

### Walkthroughs (Red)

![](images/banners/banner_red.png)

Red pages contain more extensive **walkthroughs**. An example of a red page is the [iris walkthrough](iris.html), where a well-known dataset is presented as a pretty scatterplot and steps are shown from start to finish. This page type is the most thorough: it tries to provide full documentation, explanations of design choices, and advice on best practices. It's like going to office hours and having a great clarifying chat with a course assistant...in article form. If you would like to see a fully-worked-through example of something with a lot of guidance along the way, check out the red pages.

### Documentation (Green)

![](images/banners/banner_green.png)

Green pages contain more compact **documentation**. An example of a green page is the [histogram page](histo.html), which includes simple examples of how to create histograms, when to use them, and things to be aware of/watch out for. The green pages hold your hand much less than the red pages: they explain how to use a chart/tool using examples and simple terms. If you have an idea in mind and are just wondering how to execute it, the green pages will help fill in those gaps.

### References (Yellow)

![](images/banners/banner_yellow.png)

Yellow pages contain simple collections of  **references**. An example of a yellow page is the [external resources page](general.html), which is a list of materials that you can look through and learn from. Yellow pages have the least amount of hand-holding: they are collections of resources and bare-boned tutorials that will help you learn about new things. 

## Help improve *edav.info/*

This resource is an ongoing creation made by students, for students. We welcome you to help make it better. Not finding what you are looking for? Think a section could be made clearer? Consider helping improve *edav.info/* by submitting a pull request to the [github page](https://github.com/jtr13/EDAV){target="_blank"}. Don't understand that last sentence? We have a [page on how you can contribute to *edav.info/*](contribute.html).

## Fun stuff

### T-shirts
Zach Bogart has made a few t-shirts available on [Teespring](https://teespring.com/stores/edav){target="_blank"} so you can show your love for EDAV and R. Hope you enjoy! <i class="far fa-smile"></i>

<center>
[![EDAV Store](images/edav_shirt.png)](https://teespring.com/stores/edav){target="_blank" class="active-banner"}
</center>

## Acknowledgments

### Our Contributors
Thank you so much to everyone who has contributed. You make *edav.info/* possible. 

<i class="fas fa-heart"></i>

```{r, results = "asis", echo = FALSE, message = FALSE}
# this chunk is adapted from r4ds (https://r4ds.had.co.nz/)
library(dplyr)
new_tab <- '{target="_blank"}'
contributors <- readr::read_csv("contributors.csv", col_types = list())
contributors <- contributors %>% 
  mutate(
    link = glue::glue("[\\@{login}](https://github.com/{login}){new_tab}"),
    desc = ifelse(is.na(name), link, glue::glue("{name} ({link})"))
  ) %>%
  filter(!login %in% c('zachbogart', 'jtr13'))

cat(paste0(contributors$desc, collapse = ", "))
```