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---
title: "Automate your CV in `rmarkdown`: Easy as 1, 2, `knit`! 🧶"
author: "Dr Shazia Ruybal Pesántez"
institute: "R-Ladies Melbourne Meetup"
date: '2022-02-03'
output:
xaringan::moon_reader:
css: ["default", "rladies", "custom.css", "rladies-fonts"]
lib_dir: libs
nature:
slideNumberFormat: "%current%"
highlightStyle: github
highlightLines: true
ratio: 16:9
countIncrementalSlides: false
titleSlideClass: ["left", "bottom", "my-title"]
beforeInit: ["https://platform.twitter.com/widgets.js"]
seal: false
---
```{r setup, include=FALSE}
options(htmltools.dir.version = FALSE)
knitr::opts_chunk$set(
fig.width=9, fig.height=3.5, fig.retina=3,
out.width = "100%",
cache = FALSE,
echo = TRUE,
message = FALSE,
warning = FALSE,
hiline = TRUE
)
library(xaringanthemer)
library(xaringanExtra)
library(showtext)
library(fontawesome)
library(metathis)
library(tidyverse)
```
```{r xaringan-themer, include=FALSE, warning=FALSE}
style_duo_accent(
header_font_google = google_font("News Cycle"),
text_font_google = google_font("Dosis", "300", "300i"),
code_font_google = google_font("Fira Mono")
)
```
```{r xaringan-extras, echo=FALSE}
xaringanExtra::use_scribble()
xaringanExtra::use_panelset()
xaringanExtra::use_clipboard()
xaringanExtra::use_share_again()
```
```{r metathis, echo=FALSE}
meta() %>%
meta_name("github-repo" = "shaziaruybal/automate-cv-rmd") %>%
meta_social(
title = "Automate your CV using R Markdown: Easy as 1, 2, knit!",
description = paste(
"A workshop that will show you how to get from data to professional CV using R Markdown.",
"Presented at the R-Ladies Melbourne meetup February 2022."
),
url = "https://shaziaruybal.github.io/automate-cv-rmd/",
image = "https://shaziaruybal.github.io/automate-cv-rmd/img/social-share-card.png",
image_alt = paste(
"Title slide of Automate your CV using R Markdown: Easy as 1, 2, knit!",
"presented at the R-Ladies Melbourne meetup February 2022 by Shazia Ruybal-Pesántez"
),
og_type = "website",
og_author = "Shazia Ruybal-Pesántez",
twitter_card_type = "summary_large_image",
twitter_creator = "@DrShaziaRuybal",
twitter_site = "@DrShaziaRuybal"
)
```
class: title-slide, bottom,center
background-image: url(img/title_bkgd.png)
background-position: top center
background-size: 100%
## `r rmarkdown::metadata$title`
### `r rmarkdown::metadata$author`
`r rmarkdown::metadata$institute`
`r rmarkdown::metadata$date`
[`r fa(name = "github")` @shaziaruybal](http://github.com/shaziaruybal)
[`r fa(name = "twitter")` @DrShaziaRuybal](http://twitter.com/DrShaziaRuybal)
[`r fa(name = "link")` shaziaruybal.com](https://shaziaruybal.com)
.pull-right[
]
---
name: about-me
class: middle, center, inverse
# About me
<img style="border-radius: 50%;" src="img/shazia.png" width="250px"/>
### Shazia Ruybal-Pesántez
#### Postdoctoral Research Scientist & R-Ladies Melbourne President
[`r fa(name = "github")` @shaziaruybal](http://github.com/shaziaruybal)
[`r fa(name = "twitter")` @DrShaziaRuybal](http://twitter.com/DrShaziaRuybal)
[`r fa(name = "link")` shaziaruybal.com](https://shaziaruybal.com)
---
layout: true
<!--this adds the repo link footer to all slides, depends on footer-link class in custom.css-->
<a class="footer-link" href="https://github.com/shaziaruybal.com/automate-cv-rmd"><strong><i class="fab fa-github"></i> automate-cv-rmd</strong>
• <i class="fab fa-twitter"></i>@DrShaziaRuybal </a>
---
name: welcometoR
background-image: url("img/welcome_to_rstats_twitter.png")
background-size: contain
background-position: middle
.footnote[
*Art by [@alison_horst](https://github.com/allisonhorst/stats-illustrations)*
]
---
class: center, middle
# Let's get to know each other
--
## 👍 if you consider yourself an `R` and/or `R Markdown` beginner
--
## ❤️ if you are comfortable or very comfortable with `R` and `R Markdown`
---
class: inverse, center
# `r fontawesome::fa("chalkboard")`
# Today we will cover:
--
### How to get from data to professional CV using `rmarkdown`
--
### Workshop materials are freely available and should help you get started on your own CV journey!
--
.left-column[
.pull-left[
### [`r icon::fa("github")` Materials](https://github.com/shaziaruybal/automate-cv-rmd)
]]
.right-column[
.pull-left[
### [`r icon::fa("images")` Slides](http://shaziaruybal.github.io/automate-cv-rmd)
]
.pull-right[
### [`r icon::fa("youtube")` Recording](https://youtu.be/Fc1RwRskk08)
]
]
---
background-image: url(https://github.com/allisonhorst/stats-illustrations/raw/master/rstats-artwork/rmarkdown_wizards.png)
background-size: 85% 85%
background-position: center
.footnote[
*Art by [@alison_horst](https://github.com/allisonhorst/stats-illustrations)*
]
---
name: packages
# Meet your new best friends
.left-column[
<img style="circle" src="img/datadrivencv_logo.svg" height="125px" width="125px"/>
<img style="circle" src="img/pagedown_logo.jpeg" height="125px" width="125px"/>
<img style="circle" src="img/vitae_logo.png" height="125px" width="125px"/>
]
--
.right-column[
#### `datadrivencv` developed by Nick Strayer
[`r icon::fa("github")` Github repo](https://github.com/nstrayer/datadrivencv)
[`r icon::fa("globe")` Package documentation](http://nickstrayer.me/datadrivencv/)
]
--
.right-column[
#### `pagedown` developed by Yihue Xie and Romain Lesur
[`r icon::fa("github")` Github repo](https://github.com/rstudio/pagedown)
[`r icon::fa("globe")` Package documentation](https://pagedown.rbind.io/#resume)
]
--
.right-column[
#### `vitae` developed by Mitchell O'Hara-Wild and Rob Hyndman
[`r icon::fa("github")` Github repo](https://github.com/mitchelloharawild/vitae)
[`r icon::fa("globe")` Package documentation](https://pkg.mitchelloharawild.com/vitae/)
]
---
# Disclaimer:
- I am assuming familiarity with R Markdown, for beginners see the [`R Markdown` resources](#rmd-tips) on the next slide
- The `datadrivencv` package uses `pagedown` and creates useful functions to import and build your CV, so I won't go over `pagedown` specifically in this talk
- but `pagedown` gets a special shoutout because it is an amazing package - you can also use it to generate all kinds of outputs, e.g. resumes, posters, thesis, letter, journal article and more!
- See the [pagedown package documentation](https://pagedown.rbind.io) for more details
- To prepare this workshop, I went step-by-step to create a CV in `datadrivencv` and `vitae` so I could provide a demo for all of you.
--
- `vitae` was easier to use and implement, if you are a beginner I would recommend using `vitae`.
- The materials and slides for this workshop can be found at [github.com/shaziaruybal/automate-cv-rmd](https://github.com/shaziaruybal/automate-cv-rmd) so feel free to come back to them on your own time. This includes the debugging steps that are necessary to get `datadrivencv` to build. The recording of the talk is on [`r icon::fa("youtube")` Youtube](https://youtu.be/Fc1RwRskk08).
---
class: inverse, top
name: rmd-tips
# Unfamiliar with R Markdown?
### [A good start here ⬇️](https://rmarkdown.rstudio.com/lesson-1.html)
---
class: inverse, center, middle
# Let's dive straight in
---
class: inverse, center, middle
# Meet Kate Dibiasky
-----
---
class: left, inverse
# Meet Kate Dibiasky
-----
.left-column[
### `r fontawesome::fa("film")`
### `r fontawesome::fa("graduation-cap")`
### `r fontawesome::fa("meteor", fill = "white")`
]
.right-column[
### Fictional character in the Netflix movie "Don't Look Up"
### PhD candidate at Michigan State University
### Claim to fame: comet discovery
]
---
class: middle, left, inverse
background-image: url(img/kate_vitae.png)
background-size: contain
.left-column[
# This is her CV using `vitae`
]
<!--  -->
---
class: middle, left, inverse
background-image: url(img/kate_ddcv.png)
background-size: contain
.left-column[
# This is her CV using `datadrivencv`
]
<!--  -->
---
class: inverse, center, middle
# Let's show you how to make your CV look like that 😍
--
## 🎉 if you prefer the `vitae` CV format
--
## ❤️ if you prefer the `datadrivencv`/`pagedown` CV format
---
class: center, middle
# `vitae`
---
name: data-vit-1
class: inverse
# Step 1: Prepare your data
### You can save all your data in one excel file, where each sheet is a different section of your CV
--
### Common sections include:
* Education
* Research
* Teaching
* Leadership
* Awards
--
### The example data from today's workshop can be viewed at [github.com/shaziaruybal/automate-cv-rmd](https://github.com/shaziaruybal/automate-cv-rmd/blob/main/kate_dibiasky_vitae_cv/dibiasky_vitae_data.xlsx)
---
name: data-vit-2
class: inverse
# Step 1: Prepare your data: The 4 W's
### Every section can be built with the same base information:
--
#### `r fontawesome::fa("question-circle")` What?
E.g. your role or an award you've received
--
#### `r fontawesome::fa("building")` With?
E.g. your institute or employer
--
#### `r fontawesome::fa("map-marker-alt")` Where?
E.g. city or country
--
#### `r fontawesome::fa("question-circle")` Why?
E.g. the details of your role or award
---
name: data-vit-3
class: inverse
# Step 1: Prepare your data
--
For the education section we use "degree" for the "what"
---
name: data-vit-4
class: inverse
# Step 1: Prepare your data
--
For the research section we use "role" for the "what".
--
**`r fontawesome::fa("lightbulb")` Tip: ** If you want more than one bullet point for the role description, use another line and change "details".
---
# Step 2: Start building your CV in `vitae`
.pull-left[
Install the `vitae` package
```{r eval=F}
install.packages("vitae")
```
*Note: this package requires LaTeX to be installed on your computer. If you’re encountering issues, run:*
```{r eval=F}
install.packages("tinytex")
tinytex::install_tinytex()
```
Load the library
```{r eval=F}
library(vitae)
```
In the RStudio IDE, create a new R Markdown document from the menu `File -> New File -> R Markdown -> From Template`
]
.pull-right[
]
---
class: inverse, center, middle
# 👀 What are all those templates?
--
### Today we will only go through the `vitae::awesomecv` template, but the world is your oyster! There are currently 6 templates for you to choose from. Take a look at them at [github.com/mitchelloharawild/vitae](https://github.com/mitchelloharawild/vitae).
<!-- {width="40px" height="20px"} -->
---
class: inverse, center
--
# Wasn't this supposed to be easy as 1, 2, `knit`?
--
{height="80%"}
---
class: top, center
<video width="1530" height="610" controls>
<source src="img/vitae-1-2-knit-highres.mp4" type="video/mp4">
</video>
---
class: right, center, inverse
# Now you've seen that it really is as easy as 1, 2 `knit`!
# Let's create Kate's CV together
.pull-right[
]
---
# `r fontawesome::fa("x-ray")` The anatomy of the `vitae` CV .Rmd
.pull-left[
]
.pull-right[
**Header**
- Main contact information (controlled by the YAML)
**Bio**
- Optional bio (written in R Markdown)
** CV sections**
- These sections will be tailored to the sections you want to include (remember our .xlsx sheets)
- These sections are built with the `vitae::detailed_entries()` or `vitae::brief_entries()`
]
---
class: inverse, center, middle
# Let's start with the YAML header
---
# Step 3: Change the CV content: header
.pull-left[
## YAML
This controls the CV header.
```{r eval=F}
---
name: Marie
surname: Curie
position: "Professor"
address: "School of Physics & Chemistry, École Normale Supérieure"
phone: +1 22 3333 4444
www: mariecurie.com
email: "Marie.Curie@ens.fr"
twitter: mariecurie
github: mariecurie
linkedin: mariecurie
date: "`r format(Sys.time(), '%B %Y')`"
output:
vitae::awesomecv:
page_total: true
---
```
]
.pull-right[
]
---
# Step 3: Change the CV content: header
.panelset.sideways[
.panel[.panel-name[Change the YAML]
Change the content to suit your needs
```{r eval=F}
---
name: Kate
surname: Dibiasky
position: "PhD Candidate"
address: "School of Astronomy, Michigan State University"
# phone: +1 22 3333 4444
# www: mariecurie.com
email: "k.dibiasky@gmail.com"
twitter: DontLookUpFilm
github: shaziaruybal/automate-cv-rmd
# linkedin: mariecurie
date: "`r format(Sys.time(), '%B %Y')`"
output:
vitae::awesomecv:
page_total: true
---
```
**`r fontawesome::fa("lightbulb")` Tip: ** Use the `#` to comment out anything you don't want in your header
]
.panel[.panel-name[Output]
]
.panel[.panel-name[Add a profile pic]
```{r eval=F}
---
name: Kate
surname: Dibiasky
position: "PhD Candidate"
profilepic: "img/kate.jpeg" #<<
address: "School of Astronomy, Michigan State University"
# phone: +1 22 3333 4444
# www: mariecurie.com
email: "k.dibiasky@gmail.com"
twitter: DontLookUpFilm
github: shaziaruybal/automate-cv-rmd
# linkedin: mariecurie
date: "`r format(Sys.time(), '%B %Y')`"
output:
vitae::awesomecv:
page_total: true
---
```
]
.panel[.panel-name[Output]
]
.panel[.panel-name[Add an about me]
Add an about me that will appear just below your contact info.
```{r eval=F}
---
name: Kate
surname: Dibiasky
position: "PhD Candidate"
profilepic: "img/kate.jpeg"
address: "School of Astronomy, Michigan State University"
# phone: +1 22 3333 4444
# www: mariecurie.com
email: "k.dibiasky@gmail.com"
twitter: DontLookUpFilm
github: shaziaruybal/automate-cv-rmd
# linkedin: mariecurie
aboutme: "I have recently discovered Comet Dibiasky that is approximately #<<
10-15km in size, and based on my orbital calculations is estimated to strike #<<
Earth in 6 months and 14 days" #<<
date: "`r format(Sys.time(), '%B %Y')`"
output:
vitae::awesomecv:
page_total: true
---
```
]
.panel[.panel-name[Output]
]
.panel[.panel-name[`r fontawesome::fa("lightbulb")` Tips]
- You can also include things like `orcid` and `googlescholar` in your YAML
- Whatever text goes in `name` will be light (so if you don't want your last name to be bold, put your full name here)
- Whatever text goes in `surname` will be bold (so if you want your name to be bold, put your full name here)
- While I won't get into CSS today, you can change the CV accent color (currently red) by playing around with the `awesome-cv.cls` document where colors are defined (look from line 122)
- If you want to remove the accent color altogether, include the following in your YAML:
```{r eval=F}
headcolor: 414141
```
]
]
---
# Step 4: Load your CV data
### Let's load our .xlsx file so we can update the content of each section.
--
I've written a simple function `readExcelSheets` to read all the sheets in an .xlsx and save them as individual data frames for each CV section. This makes it super easy to load your data.
--
The function is below, feel free to use it in your own CV .Rmd. Make sure you have installed the `readxl` package.
```{r eval=F}
# install.packages("readxl") uncomment this if you need to install the package
library(readxl)
readExcelSheets <- function(filename){
# read all sheets in .xlsx
all <- readxl::excel_sheets(filename)
# import each sheet into a list using readxl::read_excel
list <- lapply(all, function(x) readxl::read_excel(filename, sheet = x))
# save sheet name for each sheet (list)
names(list) <- all
# breaks up list and creates a dataframe for each sheet with df names matching sheet names
list2env(list, envir = .GlobalEnv)
}
```
---
.pull-left[
### Let's load our .xlsx file so we can update the content of each section.
Now we can apply the function to our .xlsx file.
```{r eval=F}
filename <- here::here("kate_dibiasky_vitae_cv",
"dibiasky_vitae_data.xlsx")
readExcelSheets(filename)
```
*If you've never heard of the `here` package I **highly** recommend it! [More info here](https://here.r-lib.org)*
]
.pull-right[
This will result in a data frame for each sheet in your .xlsx file, i.e. each CV section.
From these sheets:
To these data frames:
*Note: you can also have each section in its own .csv file and you would then load each .csv separately.*
]
---
class: inverse
# `r fontawesome::fa("graduation-cap")` Let's create the Education section as an example
.panelset.sideways[
.panel[.panel-name[CV entries]
]
.panel[.panel-name[Default code]
The default template has the following code, which creates the data frame/tribble directly in the script. You can choose this option if you like, although this is not my personal preference. If you're still with me, we now have our `education` dataframe that we can pipe with `detailed_entries()`.
```{r eval=F}
library(tibble) #<<
tribble( #<<
~ Degree, ~ Year, ~ Institution, ~ Where, #<<
"Informal studies", "1889-91", "Flying University", "Warsaw, Poland", #<<
"Master of Physics", "1893", "Sorbonne Université", "Paris, France", #<<
"Master of Mathematics", "1894", "Sorbonne Université", "Paris, France" #<<
) %>%
detailed_entries(Degree, Year, Institution, Where)
```
]
.panel[.panel-name[Our code]
Our education data frame looks like:
To create the CV section:
```{r eval=F}
education %>%
detailed_entries(what = degree,
when = year,
with = institution,
where = where,
why = details)
```
]
.panel[.panel-name[Output]
]
]
---
# `r fontawesome::fa("book")` What about publications?
.panelset.sideways[
.panel[.panel-name[Using a bibtex file]
- Download your .bib file from your favorite reference manager
- Use `vitae::bibliography_entries` for publications in your CV
Code:
```{r eval=F}
bibliography_entries(here("kate_dibiasky_vitae_cv", "papers.bib"))
```
[You can find the demo .bib file here](https://github.com/shaziaruybal/automate-cv-rmd/blob/main/kate_dibiasky_vitae_cv/papers.bib)
]
.panel[.panel-name[Output]
]
.panel[.panel-name[R Markdown + Latex]
- If you know Latex, you can use latex commands directly in your file, e.g. for formatting.
- You can also use R Markdown syntax anywhere on your document
Code:
```{r eval=F}
## Another way to display publications is using R Markdown. You can also use latex commands throughout the document:
\setlength{\leftskip}{0cm}
**2022**
\setlength{\leftskip}{1cm}
[**Dibiasky, K.** and Mindy, R. (2022). *Discovery of a novel comet, Comet Dibiasky, heading towards Earth.* Science.](https://media.giphy.com/media/q9CS6tp1oM45pmj19U/giphy.gif)
```
]
.panel[.panel-name[Output]
]
.panel[.panel-name[`r fontawesome::fa("lightbulb")` Tips]
- You can use R Markdown syntax in your .xlsx file and it will print in your CV
- e.g. to add hyperlinks
```{r eval=F}
[My amazing paper](thelink.com)
```
- You can use latex commands in your .Rmd document
- e.g. to start a new page
```{r eval=F}
\newpage
# My CV Section on a new page
```
]
]
---
class: inverse, middle, center
# Once you finish editing, don't forget to knit 🧶
--
### Your .html and .pdf files will be built automatically when you knit 🤩
---
class: center
.pull-left[
`r fontawesome::fa("github")` To view the `vitae` .Rmd file, click [here](https://github.com/shaziaruybal/automate-cv-rmd/blob/main/kate_dibiasky_vitae_cv/kate_dibiasky_vitae_cv.Rmd).
]
.pull-right[
## We did it!
`r fontawesome::fa("download")` Download Kate's CV [here](https://github.com/shaziaruybal/automate-cv-rmd/raw/main/kate_dibiasky_vitae_cv/kate_dibiasky_vitae_cv.pdf)
]
---
class: inverse, middle, center
# `r icon::fa("recycle")` But, how do I update my CV?
--
## 1. Edit your .xlsx file
--
## 2. Edit your .rmd file (only if you have added a new section), otherwise skip this step
--
## 3. Knit your .rmd file 🧶
--
## And, VOILA! `r fontawesome::fa("magic")`
---
# `r fontawesome::fa("lightbulb")` More tips and resources
- Check out Mitchell O'Hara-Wild and Rob Hyndman's (`vitae`'s creators!) presentation on `vitae` for more resources, including instructions on how to use the package `orcid` or `googlescholar` to import your education, experience, publication data! Slides available at [slides.mitchelloharawild.com/vitae](https://slides.mitchelloharawild.com/vitae/#1)
--
- The `vitae` GitHub page has lots of examples of "`vitae in the wild`", check it out for inspo! https://github.com/mitchelloharawild/vitae
.footnote[*Not an exhaustive list!*]
---
class: inverse, middle, center
# Questions so far?
---
class: middle, left, inverse
background-image: url(img/kate_ddcv.png)
background-size: contain
.left-column[
# Remember what the
# `datadrivencv` looked like?
]
---
class: center, middle
# `datadrivencv`
{height="80%"}
---
name: data-ddcv-1
class: left
# Step 1: Prepare your data in Google Sheets
### Click [here](https://docs.google.com/spreadsheets/d/1yCYKiTDbfYYUQYuNM304DwhUqTe4Zv-QxxfLoWPQmtY/) to view the example data used in the workshop today
---
name: data-ddcv-2
class: left
# Step 1: Prepare your data in Google Sheets
.panelset[
.panel[.panel-name[entries]
#### `entries`
| Column | Description |
| --------------- | ----------------------------------------------------------------------------------------------------------------------------------------------------------------------- |
| `section` | Where in your CV this entry belongs |
| `title` | Main title of the entry |
| `loc` | Location the entry occured |
| `institution` | Primary institution affiliation for entry |
| `start` | Start date of entry (year). Can be left blank for single point events like a manuscript. |
| `end` | End year of entry. Set to “current” if entry is still ongoing. |
| `description_*` | Each description column is a separate bullet point for the entry. If you need more description bullet points simply add a new column with title “description\_{4,5,..}” |
]
.panel[.panel-name[language_skills]
#### `language_skills`
| Column | Description |
| ------- | ------------------------------- |
| `skill` | Name of language |
| `level` | Relative numeric level of skill |
]
.panel[.panel-name[`text_blocks`]
#### `text_blocks`
| Column | Description |
| ------ | ----------------------------------------------------- |
| `loc` | Id used for finding text block |
| `text` | Contents of text block. Supports markdown formatting. |
]
.panel[.panel-name[contact_info]
#### `contact_info`
| Column | Description |
| --------- | ----------------------------------------------------------- |
| `loc` | Id of contact section |
| `icon` | Icon used from font-awesome 4 to label this contact section |
| `contact` | The actual value written for the contact entry |
]
]
.footnote[
Click [here](https://docs.google.com/spreadsheets/d/1yCYKiTDbfYYUQYuNM304DwhUqTe4Zv-QxxfLoWPQmtY/) to view the example data used in the workshop today. *Source: click [here](http://nickstrayer.me/datadrivencv/) for more on the `datadrivencv` data requirements.*
]
---
name: google-tips
class: inverse, center, middle
# `r fontawesome::fa("lightbulb")` Some tips:
--
### `r fontawesome::fa("check-square")` Make sure your google sheets document is not .xlsx (i.e. if you import an excel document to Google)
--
### `r fontawesome::fa("check-square")` Make sure you your google sheets is public and share the link with anyone ("Editor option")
--
(height="5px" width="10px")
---
name: install-ddcv
# Step 2: Start building your CV in `datadrivencv`
Install the `datadrivencv` package
```{r eval=F}
install.packages("datadrivencv")
```
--
If you get an error, download the development version. Make sure you install `devtools`
--
```{r eval=F}
install.packages("devtools")
devtools::install_github("nstrayer/datadrivencv")
```
--
With my version of R (4.1.2) I also had to install a specific version of the icons package
[*See github issue #57*](https://github.com/nstrayer/datadrivencv/issues/57), *this may be updated at a later date and may be unnecessary*
--
```{r eval=F}
install.packages("remotes")
remotes::install_github('mitchelloharawild/icons@v0.1.0')
```
---
name: new-ddcv-1
# Step 2: Start building your CV in `datadrivencv`
--
Load the library