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content to close #184
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richarddunks committed Aug 12, 2024
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3 changes: 2 additions & 1 deletion .gitignore
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*.sublime*
prep/*
data/*
images/_archive
images/_archive
.Rproj.user
36 changes: 18 additions & 18 deletions content.md
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---

# And Here's the R Code for It
[![img-center-85](images/smoke_signals_github_outline.png)](https://github.com/enigma-io/smoke-signals-model)
[![img-center-80](images/smoke_signals_github_outline.png)](https://github.com/enigma-io/smoke-signals-model)
[Click here for the code](https://github.com/enigma-io/smoke-signals-model)

---
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--


![img-center-55](images/datavis-r.png)
![img-center-45](images/datavis-r.png)

???
+ Students will understand the problem we're seeking to solve in class
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+ have documentation at end of slides

---

exclude:true
class:center,middle
# <a href="https://script.google.com/a/macros/datapolitan.com/s/AKfycbwMcE5pcJwZHdbSCN_2epwaXnRLSRPaLbHCAhxaZJ79UXaRpQ_l/exec" target="_blank">Click to submit your work</a>

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---

# Taking This Out of the Classroom
# Using This in the Real World
???
+ Facilitators reinforce key learning points with participants for integrating into their workflow
--
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---

# Learning and Practicing More with R
# Resources for Learning R
--

+ [Hands-On Programming with R](https://rstudio-education.github.io/hopr/) - Free online book with code examples meant for non-programmers
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# Other Useful Resources
--

+ [NYC Open Statistical Programming Meetup](https://www.meetup.com/nyhackr) - Monthly talks about R and sponsor of the [NYC R Conference](http://www.rstats.nyc/)
--

+ [Tidyverse](https://www.tidyverse.org) - R packages for Data Science
--

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--

+ [Stack Overflow](https://stackoverflow.com/questions) - One of the best Q&A sites for technology
--

???
+ Also [NYC Open Statistical Programming Meetup](https://www.meetup.com/nyhackr) - Monthly talks about R and sponsor of the [NYC R Conference](http://www.rstats.nyc/)
+ Students will have key resources for moving forward in their learning
+ [Class handout](workbook.pdf)
--

+ [Datapolitan training classes](https://www.datapolitan.com/) - The online home of our training materials

???
+ Students will have key resources for moving forward in their learning

---

## .center[Contact Information]
# Contact Information
+ [Email me](mailto:richard[at]datapolitan[dot]com)
+ Check out [my website](https://wwww.datapolitan.com)
+ Connect on [Twitter](https://twitter.com/Datapolitan)
+ Connect on [LinkedIn](https://www.linkedin.com/in/richarddunks/)
+ Follow us on [Instagram](https://www.instagram.com/datapolitan/)

<!-- ## Julia Marden
+ Email: julia[at]tinypanther[dot]com
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Blog: <a href="https://reshamas.github.io/">https://reshamas.github.io/</a>
</li>
</ul>
-->
### Elizabeth DiLuzio
<ul>
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</ul>
<!-- ### Richard Dunks
### Richard Dunks
<ul>
<li style="font-size:34px">
Email: training[at]datapolitan[dot]com
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</li>
<li style="font-size:34px">
Twitter: <a href="https://twitter.com/datapolitan">@datapolitan</a>
</li> -->
</li>
</ul>
<!-- ## Richard Dunks
## Richard Dunks
+ Email: training[at]datapolitan[dot]com
-->

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4 changes: 2 additions & 2 deletions faithful_a.R
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hist(faithful$eruptions)

plot(faithful, main="Eruptions of Old Faithful", xlab="Eruption Time in Minutes", ylab="Waiting Time to Next Eruption in Min")
abline(lm(faithful$waiting~faithful$eruptions), col="red")
abline(lm(faithful$waiting~faithfu?l$eruptions), col="red")

# Now we want to work on sorting and filtering the data we had above
# Now we want to work on sorting and filtering? the data we had above

# Sorting by eruption times (ascending)

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