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---
title: 'hw01: Welcome to the Jungle'
author: 'STAT 385, Spring 2018'
date: 'Due: Friday, February 9th, 2018 at 11:59 PM'
output:
html_document:
theme: readable
toc: yes
---
```{r setup, include=FALSE}
knitr::opts_chunk$set(echo = TRUE)
```
# Overview
Please see the [homework policy](http://stat385.thecoatlessprofessor.com/homework-policy/)
for detailed instructions and some grading notes. Failure to follow instructions
will result in point reductions. In particular, make sure to commit each
exercise as you complete them.
> Hofstadter's Law: "It always takes longer than you expect, even when you take into account Hofstadter's Law."
>
> --- **Douglas Hofstadter**, Gödel, Escher, Bach: An Eternal Golden Braid
## Objectives
The objectives behind this homework assignment are as follows:
- Create an _RMarkdown_ document and write using _Markdown_ syntax;
- Apply the principles of literate programming by embedding code and describing outcomes;
- Read in data;
- Provide data overviews;
- Clone a `git` Repository;
- Commit and Push changes to a `git` repository;
- Become familiar with the homework procedures of the course.
## Grading
The rubric CAs will use to grade this assignment is:
| Task | pts |
|:-------------------------------------------------------|----:|
| Link to GitHub Repository | 2 |
| Agree to the homework policy | 2 |
| Verifying computing environment is setup | 2 |
| Listing where to get help in person | 2 |
| Writing in _RMarkdown_ | 10 |
| Working with Baby Name Data | 10 |
| Exploring the Excellent Teachers list at UIUC | 12 |
| At least one commit per exercise (more is better!) | 5 |
| Commit messages that describe what changed | 5 |
| Total | 50 |
## Note on Markdown
If you need help with markdown syntax, please go to the "Help" menu and select the
_Markdown Quick Reference_ guide. This will open in the **Help** tab on
the _lower-right_ corner of _RStudio_. For more examples, please see
[the literate programming slides](http://stat385.thecoatlessprofessor.com/lectures/02-literate-programming/02-literate-programming.pdf#page=26) and the [in class examples of writing in _RMarkdown_](https://dl.dropboxusercontent.com/s/djhtvrr2f07uyzi/01-22-2018-rmarkdown-sample.Rmd?dl=0).
# Assignment
## (2 points) Exercise 0: Get aboard the GitHub Bus!
Place a link to your `hw01` GitHub repository here.
<https://github.com/stat385-sp2018/hw01-welcome-to-the-jungle-stat385test.git>
## (2 points) Exercise 1: Homework Policy
Please uncomment the following statement when you have read and agreed
to the [homework policy](http://stat385.thecoatlessprofessor.com/homework-policy/).
To _uncomment_ a statement in _RMarkdown_ delete the `<!-- -->` surrounding
the content.
<!-- I have read and agree to abide by the policies and procedures laid
out by the [homework policy](http://stat385.thecoatlessprofessor.com/homework-policy/).
I understand that:
- I must independently write up solutions to homework problems.
- Failure to do so will result in an academic integrity violation due to plagarism and more severe penalties.
- I must list the names of all collaborators that I work with at the top of
my homework assignment.
- I understand that I can work with **at most** three other students in class.
- I will turn in my homework by committing to the GitHub repository that was
setup for me via GitHub classrooms.
- There is no paper or e-mail turn-in available.
- I must make all commits using `git` and _not_ the GitHub web interface.
- If I do, I will lose all the points associated with the `git` commits.
- I will be able to drop one homework assignment over the course of the
semester.
-->
## (2 points) Exercise 2: [Help! I need somebody](https://www.youtube.com/watch?v=CTsB-llTzyc)
Please answer:
1. Who is part of the STAT 385 instructional staff?
1. Where are **all** STAT 385's Office Hours?
1. When do the office hours take place during the week?
Answers to these questions can be found on the main page of the course website:
<http://stat385.thecoatlessprofessor.com/>
## (2 Points) Exercise 3: Know Thine Environment
Please take screenshots of the following and include them in your _RMarkdown_ document:
1. the [RStudio Cloud STAT 385 Workspace](https://rstudio.cloud/spaces/960).
2. the [STAT 385 Discussion Forum](https://github.com/stat385-sp2018/disc/issues)
- To get access to this forum, we _must_ know your GitHub Username.
- Please fill out this survey: <https://goo.gl/forms/n0U7Q87walHvNAhi2>
- Having issues logging in? Please see the
[walkthrough guide](http://stat385.thecoatlessprofessor.com/readings/00-google-forms/00-google-forms.html)
or the
[FAQ entry](http://stat385.thecoatlessprofessor.com/faq/#technical-google-forms)
To take a screenshot press:
- Windows: [`Windows Key` + `PrtScn`](http://windows.microsoft.com/en-us/windows/take-screen-capture-print-screen#take-screen-capture-print-screen=windows-8) or use the [Snipping tool](http://windows.microsoft.com/en-us/windows/use-snipping-tool-capture-screen-shots#1TC=windows-8)
- macOS: [`Command` + `Shift` + `3`](https://support.apple.com/en-us/HT201361) or use [`Command` + `Shift` + `4`](https://support.apple.com/en-us/HT201361) for part of your screen.
## (10 Points) Exercise 4: Who I Am
If you need help with markdown syntax, please go to the "Help" menu and select the
_Markdown Quick Reference_ guide. This will open in the **Help** tab on
the _lower-right_ corner of _RStudio_. For more examples, please see
[the literate programming slides](http://stat385.thecoatlessprofessor.com/lectures/02-literate-programming/02-literate-programming.pdf#page=26) and the [in class examples of writing in _RMarkdown_](https://dl.dropboxusercontent.com/s/djhtvrr2f07uyzi/01-22-2018-rmarkdown-sample.Rmd?dl=0).
- Create a self-portrait of yourself by either taking a picture or sketching it.
Include this self-portrait within the _RMarkdown_ document.
- Make sure to upload and commit your photo!
- Make a 7 by 2 table in markdown that has a header row containing "Overview" and "Who I Am".
- Under the "Overview" column, please write entries using bold text for:
Full Name, NetID, Birthday, Year in School, Major, and Expected Graduation Date
- Under the "Who I Am" column, please fill in your personal information.
- Compile **ordered** lists for each of your favorite:
- foods;
- TV shows;
- movies;
- music (add links to music videos on either YouTube or Vimeo).
- Devise _two_ **unordered** lists that contain your most recent memorable events
and where you typically spend your free time.
- Write the following formula as an _inline_ equation.
- For help writing in LaTeX, see the following symbol's guide: <https://artofproblemsolving.com/wiki/index.php/LaTeX:Symbols> and see
[`lab00` solutions](https://github.com/stat385-sp2018/lab00-coatless/blob/master/rmarkdown-examples/rmarkdown-example.Rmd).
- What is the name of your favorite mathematical formula? Include the
formula itself using _display mode_ and a link to its wikipedia entry.
- For inspiration, check out [Wikipedia's Mathematical Formula list](https://en.wikipedia.org/wiki/List_of_equations)!
- **Note:** You _cannot_ select the pythagorean theorem, golden ratio, or
quadratic formula as those were given as examples in
[`lab00`](https://github.com/stat385-sp2018/lab00/blob/master/rmarkdown-examples/rmarkdown-example.Rmd).
Commit and push your work onto GitHub.
## (10 Points) Exercise 5: Got baby?
**[2 Points] (a)** Install and load the `babynames` package.
**Comment** out the installation command in your `.Rmd` file.
(If you do not comment installation commands out, then they will be run
every time you knit your `.Rmd` file.)
**[2 Points] (b)** Open up the help documentation for `babynames` (the data set),
find where the variables for the data set are listed and write in your
_RMarkdown_ document _how_ the `prop` variable was created.
**[6 Points] (c)** Provide summary information on the `babynames` by:
- writing a sentence that _dynamically_ describes the dimensions of the data;
- showing the last six observations in the data set; and,
- providing a summary overview of the data to understand its contents.
## (12 Points) Exercise 6: Excellency at UIUC
Under this exercise, we will explore the "Teachers Ranked As Excellent" data
at UIUC from Fall 1993 to Present as compiled by [Wade Fagen-Ulmschneider
](http://waf.cs.illinois.edu/). Please download the data from:
<https://raw.githubusercontent.com/wadefagen/Teachers-Ranked-As-Excellent-UIUC/master/TRE-UIUC-AllYears.csv>
This data has a file extension of **CSV** form. Contained in the data are the
following variables:
- `term`: Two letter semester code (`sp`, `su`, `fa`, or `wi`) followed by a four digit year.
- Examples: `sp2017`, `fa2013`, `su2012`.
- `unit`: The CITL-supplied headers for the unit teaching the course.
- Examples: `ACCOUNTANCY`, `SOCIAL WORK`, `LINGUISTICS`, `NUCLEAR, PLASMA & RAD. ENGR.`
- `lname`: The last name of the teacher.
- Examples: `FAGEN-ULMSCHNEIDER`, `FLANAGAN`, `FLECK`
- `fname`: The first letter of the first name of the teacher.
- Examples: `W`, `K`, `M`
- `role`: `Instructor` or `TA`
- `ranking`: `Excellent` or `Outstanding`
- `course`: The course the teacher was ranked as excellent. If no course is given, the `course` field is set to `?` (this includes cases when the raw data lists the course as `0`, `000`, or `999`).
- Examples: `199`, `225`, `560`, `?`
**[2 points] (a)** Import into _R_ the data in `TRE-UIUC-AllYears.csv` with the
variable name `tre_data`. As `course` contains a value that is _not_ `NA`, which
is how _R_ represents missing values, you must use the parameter
`na.strings = c("?", "NA")` in the appropriate `read.*()` function.
If you need help, please see the appropriate help documentation via `?`.
**NB** The `*` in the `read.*()` statement is a placeholder for the type of file
you want to read in.
**[2 points] (b)** Retrieve the dimensional information for this data using
only one function.
**[4 points] (c)** Perform a summary of the `tre_data`. Are there any summaries
that are surprising? What might have caused this?
_Hint_ Consider looking at the structure of `tre_data`.
**[4 points] (d)** Fix the following code so that it:
1. doesn't error;
1. produces a graph; and
1. hides the code.
_Hint_ for the last exercise look at different code chunk options.
```{r ggplot2-code, eval = FALSE}
ggplot(tre_data, aes(ranking)) +
geom_bar() +
facet_wrap( ~role) +
theme(axis.text.x = element_text(angle = 45, hjust = 1)) +
labs(y = "Frequency",
x = "Excellency Rating")
```