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# Notes {-}
## Articles and blog posts with useful ideas {-}
- https://medium.com/@clmentviguier/how-to-turn-a-twitter-comment-into-a-data-visualisation-design-opportunity-7447402f0c2f
- http://r-statistics.co/Top50-Ggplot2-Visualizations-MasterList-R-Code.html
- http://socviz.co/
- Births per month visualization: https://github.com/aaronpenne/Data_Visualization/blob/master/HMD/Births_USA/Births_USA.ipynb
- http://www.datavizcatalogue.com/about.html
- Data acquisition (four parts):
* https://ikashnitsky.github.io/2017/data-acquisition-one/
* https://ikashnitsky.github.io/2017/data-acquisition-two/
* https://ikashnitsky.github.io/2017/data-acquisition-three/
- https://eagereyes.org
## Datasets to consider {-}
- midwest (ggplot2)
- overlapping points: mpg cty vs hwy
- economics (ggplot2)
- gapminder (gapminder)
- gss_sm (socviz) http://gss.norc.org/Get-Documentation
- organdata (socviz)
- titanic_test, titanic_train (titanic) (is a better source of this dataset available?)
- various datasets of openintro package, https://cran.r-project.org/web/packages/openintro/index.html
- Moby Dick wordcounts, downloaded from http://tuvalu.santafe.edu/~aaronc/powerlaws/data.htm, reference: M. E. J. Newman, "Power laws, Pareto distributions and Zipf's law." Contemporary Physics 46, 323 (2005).
- Berkeley list of health statistics datasets: http://guides.lib.berkeley.edu/publichealth/healthstatistics/rawdata
- Birth and death rates: http://www.mortality.org/cgi-bin/hmd/hmd_download.php
- OECD, http://stats.oecd.org/, e.g. tax as % of GDP
## Required versions of rendering software and R packages {-}
- pandoc: 2.0.6
- rmarkdown: 1.8
- bookdown: 0.5.14
- knitr: 1.18
- cowplot_0.9.2.9900
- ggplot2_2.2.1.9000
- colorspace 1.4