Customizable Resumes with R Tools

Kristina Riemer

⏰ Schedule ⏰

remember to record

Topic	Time
Welcome & intros	11:00 - 11:10
What are R tool options for resumes?	11:10 - 11:20
Overview of datadrivencv	11:20 - 11:25
Create resume	11:25 - 11:50
BREAK	11:50 - 12:00
Customize resume	12:00 - 12:30
Online hosting	12:30 - 12:35
Questions & more customization	12:35 - 1:00

Welcome!

CCT Data Science Team

Supporting reproducible research, data pipelines, and software development in ALVSCE

• Workshops
• Drop-in hours
• “Incubator” program
• Longer-term collaborations
• Learn more: https://datascience.cct.arizona.edu

Before we get started

• These slides (and links!) are available at: https://cct-datascience.quarto.pub/customizable-resumes-with-r-tools/
• Please make sure you have R and RStudio installed
• Additionally will need datadrivencv R package installed
  • To do so, use devtools::install_github("cct-datascience/datadrivencv")
  • Requires having devtools R package installed

Learning objectives

We will not be learning:

• The content your CV or resume should have
  • Check out campus resources like Student Engagement & Career Development & Graduate Center Career Services
• How to program in the R language

Learning objectives

We will be learning:

• The pros and cons of different R tools for creating resumes
• How to create and customize resumes the datadrivencv R package

Note

You will leave this workshop with a partially complete, custom resume!

Why use R to do this?

• Minimize fiddling with formatting
• Easy to add / update information
• Increase familiarity with R literate programming tools

R resume options

has anyone used Latex before?

Option	Link	Pros	Cons
Quarto template (Latex)	quarto-cv repo	Multiple templates	Uses Latex
Quarto template (css)	Cynthia Huang blog post	No Latex	Requires command line program
R Markdown template (Latex)	vitae R package	Maintained package & multiple templates	Uses Latex
R Markdown template (css)	datadrivencv R package	No Latex	Unmaintained package

R resume options notes

• Quarto is newer version of R Markdown
  • Changing because it’s still in active development
  • Lots of cool new features
  • No sign that Posit will support resume-making
• Latex used to format technical documents
  • Difficult to use
  • New and easier tool is typst!

datadrivencv

• Best option for workshop
• Created our own version of it to fix problems
  • We plan to maintain this
  • Email us if you have problems!
• Designed to be used once

If you can’t install datadrivencv, we have a template repo of needed files

The “data-driven” approach

Put your info in a spreadsheet, get out a nicely formatted document!

Let’s check everyone’s installations!

Generate initial files

library(datadrivencv)
use_datadriven_cv(full_name = "Your Name", data_location = "https://docs.google.com/spreadsheets/d/1mq7H8ZiF6k7H_f6rY2eA0sq2Xyxf9msmXv3LPsvSYoo/edit#gid=1730172225")

• Create files with use_datadriven_cv
• Use mostly blank Google Sheet
• Many additional arguments, see ?use_datadriven_cv

Description of initial files

walk through each of these

Automatically opens in RStudio:

• cv.rmd: main file for formatting, reading in data files, and some content, e.g., name, logo, section icons
• render_cv.r: run this to get html and pdf files

Created but not opened:

• dd_cv.css: contains css to specify a lot of the formatting, including colors, margins, spacing
• cv_printing_functions.r: contains R functions that do a lot of the printing and parsing; grabs and cleans up parts of data files; these functions are used in cv.rmd

Create resume files

Run render_cv.r to create cv.html and cv.pdf

Click on pdf file to view

Under the hood details

This uses pagedown R package: turns R Markdown into multi-page PDF without Latex, and can include css

Google Sheet is read in using googlesheets4 R package

R Markdown is turned into html with rmarkdown

Break! ☕

Customize info

Info is in data files, which have two options:

1. Google Sheet ➡️ Copy blank Google Sheet and change URL
2. Local files ➡️ Create with datadrivencv function use_csv_data_storage

Update these and then rerun render_cv.r

Customize info

🌟 Time to practice! 🌟

• Change to your name
• Add a degree
• Add your email address

Customize appearance

Many things can be changed, including:

• Colors

• Fonts

• Image

• Icons

Multiple places where they could be changed: cv.rmd, dd_cv.css, data files

Takes some playing around & trial and error

See more ideas in the pagedown::html_resume documentation

What do you want to see changed?

Putting resume online

we won’t walk through this, but we can help people do this

• Turn folder into git and GitHub repo
• Use pdf_location, html_location, & source_location arguments in use_datadriven_cv

CCT Data Science opportunities

• Drop-in hours - Tuesdays, 9-10
• Incubator projects
• Upcoming workshops

Data science @ UA

• Tucson WiDS 2024 coming up!
• Research Bazaar Arizona
  • Coffee & Code
  • Hack Hour
• UA Data Science Slack
  • Sign up here: https://jcoliver.github.io/uadatascience-slack/user-guide.html
• UA Libraries Data & Viz Drop-In Hours
• UA Data Science Institute

Thank you!

Thank you for attending!

For details on drop-in hours, upcoming workshops, and Incubator Program offerings from CCT-Data Science, see our website!