intRo: Data visualisation with R

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# intRo: Data visualisation with R
## 07 — Advanced skills
### Stefano Coretta

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.f1[TUTORIAL]

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# Resources

.f3[
* [intRo](https://intro-rstats.github.io) website.

* [intRo](https://intro-rstats.github.io/intRo/) R package.

* intRo [presentation slides](https://intro-rstats.github.io/intro-slides/).

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# Resources

.f3[

* [R for Data Science](https://r4ds.had.co.nz).

* [Exploratory data analysis with R](https://bookdown.org/rdpeng/exdata/).

* The [tidyverse website](https://www.tidyverse.org).

* [RStudio Education](https://education.rstudio.com).

* [Rmarkdown: The definite guide](https://bookdown.org/yihui/rmarkdown/).
]

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# Resources

.f3[
* [Geocomputation with R](https://bookdown.org/robinlovelace/geocompr/).

* [sf](https://r-spatial.github.io/sf/) R package for GIS and maps.

* [Plot likert](http://rnotr.com/likert/ggplot/barometer/likert-plots/) scales with ggplot2.

* Alluvial plots with [ggalluvial](https://corybrunson.github.io/ggalluvial/).

* Animate your plots with [gganimate](https://gganimate.com/articles/gganimate.html).

* Make interactive plots with [Plotly.R](https://plotly.com/r/getting-started/).

* Create interactive web apps and dashboards with [Shiny](https://shiny.rstudio.com).

* Write [papers](https://pkgs.rstudio.com/rticles/), [books](https://bookdown.org), [websites](https://pkgs.rstudio.com/blogdown/), [presentations](https://github.com/yihui/xaringan).
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# Hands-on session

.f2[Friday Nov 19]

* .f3[Early session] (09:00 - 10:30 GMT)

* .f3[Late session] (19:00 - 20:30 GMT)

.f2[Pick one!]

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