In this workshop we will teach three main topics in visualizations:
- Creating plots for publications
- Interactive plotting
- Geographical plotting
Here is a list of useful links we used to builed this workshop and some more
https://tutorials.iq.harvard.edu/R/Rgraphics/Rgraphics.html https://ggplot2.tidyverse.org/
http://www.htmlwidgets.org/showcase_threejs.html
https://moderndata.plot.ly/interactive-r-visualizations-with-d3-ggplot2-rstudio/ https://plot.ly/r/ https://plotly-book.cpsievert.me/a-case-study-of-housing-sales-in-texas.html https://www.datacamp.com/community/blog/a-free-interactive-plotly-r-tutorial https://www.analyticsvidhya.com/blog/2017/01/beginners-guide-to-create-beautiful-interactive-data-visualizations-using-plotly-in-r-and-python/
https://rstudio.github.io/leaflet/ https://allthisblog.wordpress.com/2016/10/12/r-311-with-leaflet-tutorial/ https://www.earthdatascience.org/courses/earth-analytics/get-data-using-apis/leaflet-r/
We don't focus on it in our session but it is another nice plotting package
https://www.datacamp.com/community/blog/bring-your-data-to-life-with-googlevis-and-r-tutorial https://rstudio-pubs-static.s3.amazonaws.com/117826_9e0ceb968d144a47a028d8f2f2592d21.html#1 https://cran.r-project.org/web/packages/googleVis/vignettes/googleVis.pdf https://cran.r-project.org/web/packages/googleVis/vignettes/googleVis_examples.html
This summarizes how to choose plots and some do's and don'ts. General discussion, not related to R. https://policyviz.com/2018/08/07/dataviz-cheatsheet/ https://github.com/widged/data-for-good/wiki/Visualisation-::-Choosing-a-chart https://towardsdatascience.com/the-ultimate-cheat-sheet-on-tableau-charts-642bca94dde5
This one is a cheat sheet for ggplot2 https://www.rstudio.com/wp-content/uploads/2015/04/ggplot2-cheatsheet.pdf