Welcome to open source

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# .big[WELCOME] to 
# .big[.teal[OPEN SOURCE]]

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<h1 style="margin-top: -21px; margin-left: -10%; text-shadow: none; color: #25779a; font-weight: 700;"> Open source </h1>

.bottom-right[.off-white[Artwork from @juliesquid for @openscapes (illustrated by @allison_horst)]]

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# .teal[R] community is growing

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# .teal[R] community is growing

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# Join the club!

<br>

.bigger[

## .teal[1 Team] | 7 agencies | 150 members

- [Tidy Tuesdays](https://github.com/tidy-mn/tidytuesdays)
  - [Tips & tricks](https://mn-r.netlify.app/page/help)
]

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# When we use .teal[R]

.bigger[

- To connect to databases
- To read data from all kinds of formats
- To document our work and share methods
- To create reports, dashboards, and presentations that are easy to update
]

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# Reproducible and shareable

Much like following a recipe for cookies, R scripts follow a top-to-bottom, step-by-step process.

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You start at the top and read our way down to the bottom.

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# .teal[Oh NO!]

<br>

> **`Sent:`** `Friday, 4:30 PM`  
> **`Subject:`** `Wups! Missing data`  
> 
> Sorry! We forgot to include the data for December. The full data is attached.

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## Must we do it all over again?

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# .bigger[How is .bigger[[.teal[R]]] different?]

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# **.bigger[.teal[R]] vs. Excel**

- R can handle much larger data sets
- R is more flexible than Excel
- R analyses are more reproducible
- Excel is more widely used

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# **.bigger[.teal[R]] vs. Tableau**

- Tableau is primarily a data visualization software. 
    - R Shiny is more flexible.
- Tableau's drag-and-drop interface makes it faster and easier for creating simple visualizations, but is not easily reproducible.
    - R is 100% text-based so you can track changes over time. `#VersionControl`

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# **.bigger[.teal[R]] vs. SQL**

- SQL is the language of databases.
- SQL queries are sent to a database server and processed there before returning the data.  
- R can run SQL queries to pull data from databases / data lakes.
- R has the `dbplyr` package which converts R to an SQL query.
- R can read data from almost anywhere (databases, flat files, web pages)

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# **.bigger[.teal[R]] vs. Python**

- Python is a general-purpose programming language popular for doing internet things.
    - R is more specifically focused on visualizations and statistical analysis.  
- Compared to python's `pandas`, R's Tidyverse is more intuitive and easier to use.
- Historically Python has been used with GIS software like ArcGIS, but spatial analysis with R has been growing.

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# **.bigger[.teal[R]] vs. SAS**

- R is open-source, while SAS requires a license.
- Anyone can create and add updates to R packages at anytime.
- New features for SAS only become available when the SAS team makes it so.

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# You're on the .teal[CREW]

.bigger[*Let's go!*]

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# <i class="fas fa-carrot" aria-hidden="true"></i> [Back to Videos](https://tidy-mn.github.io/R-camp-penguins/page/videos.html)