Pins

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???
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# Hello, SLC! 👋
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<br><br>
<img src="slides_files/avatar.png" height="220px"/>

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[<svg aria-hidden="true" role="img" viewBox="0 0 496 512" style="height:1em;width:0.97em;vertical-align:-0.125em;margin-left:auto;margin-right:auto;font-size:inherit;fill:currentColor;overflow:visible;position:relative;"><path d="M165.9 397.4c0 2-2.3 3.6-5.2 3.6-3.3.3-5.6-1.3-5.6-3.6 0-2 2.3-3.6 5.2-3.6 3-.3 5.6 1.3 5.6 3.6zm-31.1-4.5c-.7 2 1.3 4.3 4.3 4.9 2.6 1 5.6 0 6.2-2s-1.3-4.3-4.3-5.2c-2.6-.7-5.5.3-6.2 2.3zm44.2-1.7c-2.9.7-4.9 2.6-4.6 4.9.3 2 2.9 3.3 5.9 2.6 2.9-.7 4.9-2.6 4.6-4.6-.3-1.9-3-3.2-5.9-2.9zM244.8 8C106.1 8 0 113.3 0 252c0 110.9 69.8 205.8 169.5 239.2 12.8 2.3 17.3-5.6 17.3-12.1 0-6.2-.3-40.4-.3-61.4 0 0-70 15-84.7-29.8 0 0-11.4-29.1-27.8-36.6 0 0-22.9-15.7 1.6-15.4 0 0 24.9 2 38.6 25.8 21.9 38.6 58.6 27.5 72.9 20.9 2.3-16 8.8-27.1 16-33.7-55.9-6.2-112.3-14.3-112.3-110.5 0-27.5 7.6-41.3 23.6-58.9-2.6-6.5-11.1-33.3 2.6-67.9 20.9-6.5 69 27 69 27 20-5.6 41.5-8.5 62.8-8.5s42.8 2.9 62.8 8.5c0 0 48.1-33.6 69-27 13.7 34.7 5.2 61.4 2.6 67.9 16 17.7 25.8 31.5 25.8 58.9 0 96.5-58.9 104.2-114.8 110.5 9.2 7.9 17 22.9 17 46.4 0 33.7-.3 75.4-.3 83.6 0 6.5 4.6 14.4 17.3 12.1C428.2 457.8 496 362.9 496 252 496 113.3 383.5 8 244.8 8zM97.2 352.9c-1.3 1-1 3.3.7 5.2 1.6 1.6 3.9 2.3 5.2 1 1.3-1 1-3.3-.7-5.2-1.6-1.6-3.9-2.3-5.2-1zm-10.8-8.1c-.7 1.3.3 2.9 2.3 3.9 1.6 1 3.6.7 4.3-.7.7-1.3-.3-2.9-2.3-3.9-2-.6-3.6-.3-4.3.7zm32.4 35.6c-1.6 1.3-1 4.3 1.3 6.2 2.3 2.3 5.2 2.6 6.5 1 1.3-1.3.7-4.3-1.3-6.2-2.2-2.3-5.2-2.6-6.5-1zm-11.4-14.7c-1.6 1-1.6 3.6 0 5.9 1.6 2.3 4.3 3.3 5.6 2.3 1.6-1.3 1.6-3.9 0-6.2-1.4-2.3-4-3.3-5.6-2z"/></svg> @kmasiello](http://github.com/kmasiello)  
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]

.column-right[ 
<br>
#We have things in common! 
We love:  
🏔 Mountains <br>
🏞️ Nature <br>
☕ Coffee  <br><br>
📍I bet you'll love pins too
]

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# What are <img src="slides_files/pins.png" height="90px" style="vertical-align:middle"/> ?
> The [pins package](pins.rstudio.com) publishes data, models, and other R objects, making it easy to share them across projects and with your colleagues.

<br>
**On:** RStudio Connect, Github, Dropbox, S3 bucket, Azure blob storage, OneDrive, Sharepoint...

**This includes:** data frames, models, .rds objects, JSON, feather files...

--
  
.center[<img src="slides_files/pickle.gif" height=250px>]
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.left-column-impact[
.impactNum[5]<br>
.impactText[signs you might want a pin]

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<br><br><br><br>

* Do you rely on `read_csv()` to bring in emailed data?  🙋

* Have you lost track of what version is which? *Was it* `dataFINALfinal.csv` *or*  `dataFINALv2.csv`? 🤔

* Do you need to reuse the same data or object across multiple projects or with other people? 👈

* Are you redeploying your app every time the supporting data is updated? 😱

* *"Ick — this workflow! There's got to be a better way!"*

]

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What makes a .larger[good pin?]
]
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<br><br><br><br><br>
* Not *too* big — a few hundred megabytes is plenty (though I've been known to push it 😉)  <br>
👉 if it's too big for Excel, it's too big for a pin

* Ephemeral data or reference tables that don't merit being in a database

* Something that needs to be shared or reused

* Something that can be programatically regenerated

]
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# How it works
---
# Let's give it a try

```r
library(pins)
#local board
(board1 <- board_local())
# Pin board <pins_board_folder>
# Path: '~/Library/Application Support/pins'

#write some pins
board1 %>% pin_write(mtcars)
board1 %>% pin_write(palmerpenguins::penguins, 
                     name = "penguins", versioned = TRUE)

#what pins do we have?
board1 %>% pin_list()
# [1] "faithful" "mtcars"   "penguins"

#read a pin
board1 %>% pin_read("mtcars")

#list versions
board1 %>% pin_versions("penguins")
# A tibble: 2 × 3
#   version                created             hash
#   <chr>                  <dttm>              <chr>
# 1 20211207T005403Z-84255 2021-12-06 16:54:00 84255
# 2 20211207T005855Z-84255 2021-12-06 16:58:00 84255
```

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#Now you try

```r
library(pins)

# My content is shared here
board <- board_url(c("penguins" = 
                       "https://colorado.rstudio.com/rsc/example_pin/"))

# Read the data
pin_read(board, "penguins")
```

### 🐧 : preview the pin at https://colorado.rstudio.com/rsc/example_pin/

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# Pins In Real Life

## (or, how pins can make you feel like a rockstar 🤩)

## .smaller[(or at least supercharge your workflow)]

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# Schedule updates to your pin
💪 Updates happen outside of the Shiny process  
💪 Dashboard users have fresh data without waiting for the ETL
<img src="slides_files/irl-scheduled.png">

---
# Pin model versions
💪 Make models accessible for downstream consumption 
<img src="slides_files/irl-model.png">

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# Miscellanea 
* [Access controls](https://docs.rstudio.com/connect/user/content-settings/#content-access) on RStudio Connect
* [Versioning](https://pins.rstudio.com/articles/pins.html#versioning-1)
* ModelOps with [`vetiver`](https://vetiver.tidymodels.org/)
* [Metadata](https://pins.rstudio.com/articles/pins.html#metadata-1)
* pin types: rds, qs, arrow, csv, json
* `pin_write()` & `pin_read()` vs [`pin_upload()` & `pin_download()`](https://pins.rstudio.com/articles/pins.html#reading-and-writing-files-1)

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# Thank you! 
#👉 Let's talk about it! 
## What are your thoughts and questions?