https://github.com/gadenbuie/trug-ggplot2

:bar_chart: Slides for presentation on ggplot2 at Tampa R Users Meetup (Jan 2018)
https://github.com/gadenbuie/trug-ggplot2

ggplot2 r-language rstats slides

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:bar_chart: Slides for presentation on ggplot2 at Tampa R Users Meetup (Jan 2018)

• Host: GitHub
• URL: https://github.com/gadenbuie/trug-ggplot2
• Owner: gadenbuie
• License: mit
• Archived: true
• Created: 2018-01-22T20:45:01.000Z (almost 7 years ago)
• Default Branch: master
• Last Pushed: 2018-11-08T11:58:16.000Z (almost 6 years ago)
• Last Synced: 2024-05-21T02:13:02.786Z (6 months ago)
• Topics: ggplot2, r-language, rstats, slides
• Language: R
• Homepage: https://gadenbuie.github.io/trug-ggplot2
• Size: 14.3 MB
• Stars: 23
• Watchers: 3
• Forks: 9
• Open Issues: 0
• Metadata Files:
  • Readme: Readme.md
  • License: LICENSE

Awesome Lists containing this project

README

        
# A Gentle Guide to the Grammar of Graphics with `ggplot2`

#### UPDATE: An updated version of these slides are available at .

These are the slides and repo for my talk at the Tampa R Users Meetup on January 23, 2018.

The slides are available here: 

## Follow Along

You can use the script [`0-companion-script.R`](0-companion-script.R) to follow along during the talk or to review the plots later.

## Docker

If you happen to use [Docker], you can use the included `Dockerfile` to build a Docker container with everything you need (including RStudio thanks to the [Rocker] project).

Just clone this repo and run

```bash

# Build container image

docker build -t trug-ggplot2 ./

# Run image

docker run -d -p 8787:8787 trug-ggplot2

```

Then point your browser at `127.0.0.1:8787` and login with `rstudio` (for both).

The RStudio project for these slides will be under `trug-ggplot2/`

[Docker]: https://docs.docker.com/installation/

[Rocker]: https://github.com/rocker-org/rocker