Project 1 evaluation

[mbutler808]

Project Rubric

Your audience is the user, members of the general public who may want to use your data and/or code. To be useful, your code and documentation must be clear to naive users (people familiar with R, but not with this project).

Elements:

1. Your github repo, organized following the project template.
2. Your modified code, quarto, and README files, organized in the repo.
3. Your output files (any requested output, i.e., .csv, .html, .docx, .pdf files) in their proper places in the repo.

Criteria	Evaluation	Scoring	Points	Comments
Right	Code runs without Error - Must be YES	0/10	10
	Code produces correct output	0-5	5	Good, but please save data dictionary for clean data in processed data directory
Readable	Code is readable (good use of white space, etc.)	0-5	2	Not very readable
	Code is understandable (good naming conventions, concise informative comments)	Need more editing. Will you understand this script a year from now?
Reproducible	READMEs document project organization	0-5	0	missing
	READMEs list contents of each directory		missing
	READMEs explain the order to run the code/quarto in order to reproduce analysis		not clearly indicated
Aesthetics	Files are free of unnecessary clutter (assignment instructions, etc.)	0-5	1	READMEs not updated for a public repo, too much clutter
	Code is elegant (not required, but a bonus)			nice
Bottom Line		30	18	Nice basic code. Update documentatiom for the code, with concise, informative comments. Must be be self-explanatory to the public. You can earn points back by fixing these issues for project 2.

[mbutler808]

You can see an example solution here: https://github.com/mbutler808/Project-1-solution