References

Albert, Jim. 2009. Bayesian Computation with R (Second Edition). Springer.

Andrew Gelman, Hal S. Stern, John B. Carlin, and Donald B. Rubin. 2014. Bayesian Data Analysis (Third Edition). CRC Press.

Anscombe, F. J. 1973. “Graphs in Statistical Analysis.” The American Statistician 27 (1): 17–21. https://doi.org/10.1080/00031305.1973.10478966.

Baumer, Benjamin S. 2019. “A Grammar for Reproducible and Painless Extract-Transform-Load Operations on Medium Data.” Journal of Computational and Graphical Statistics 28 (2): 256–64. https://doi.org/10.1080/10618600.2018.1512867.

Brewer, Cynthia A. 2003. “A Transition in Improving Maps: The Colorbrewer Example.” Cartography and Geographic Information Science 30 (2): 159–62. https://doi.org/10.1559/152304003100011126.

Broman, Karl, and Kara Woo. 2017. “Data Organization in Spreadsheets.” The American Statistician 72 (1): 2–10. https://doi.org/10.1080/00031305.2017.1375989.

Buttrey, Samuel E., and Lyn R. Whitaker. 2017. A Data Scientist’s Guide to Acquiring, Cleaning, and Managing Data in R. Wiley. https://onlinelibrary.wiley.com/doi/book/10.1002/9781119080053.

Cairo, Alberto. 2013. The Functional Art: An Introduction to Information Graphics and Visualization. New Riders.

———. 2016. The Truthful Art: Data, Charts, and Maps for Communication. New Riders.

Carmichael, Iain, and J. S. Marron. 2018. “Data Science Vs. Statistics: Two Cultures?” Japanese Journal of Statistics and Data Science 1 (1). https://doi.org/10.1007/s42081-018-0009-3.

Cleveland, William S. 1993. Visualizing Data. Hobart Press.

———. 1994. The Elements of Graphing Data. Hobart Press.

Cleveland, William S., and Robert McGill. 1984. “Graphical Perception: Theory, Experimentation, and Application to the Development of Graphical Methods.” Journal of the American Statistical Association 79 (387): 531–54. https://doi.org/10.1080/01621459.1984.10478080.

Cynthia A. Brewer, Mark A. Harrower, Geoffrey W. Hatchard. 2003. “ColorBrewer in Print: A Catalog of Color Schemes for Maps, Cartography and Geographic Information Science.” Cartography and Geographic Information Science 30 (1): 5–32. https://doi.org/10.1559/152304003100010929.

Davenport, Thomas H., and Jeanne G. Harris. 2007. Competing on Analytics: The New Science of Winning. Harvard Business School Press.

Duarte, Nancy. 2008. Slide:Ology: The Art and Science of Creating Great Presentations. O’Reilly. https://www.duarte.com/books/slideology/.

Friendly, Michael, and David Meyer. 2016. Discrete Data Analysis with R: Visualization and Modeling Techniques for Categorical and Count Data. CRC Press.

Gillespie, Colin, and Robin Lovelace. 2017. Efficient R Programming: A Practical Guide to Smarter Programming. O’Reilly. https://csgillespie.github.io/efficientR/.

Healy, Kieran. 2019. Data Visualization: A Practical Introduction. Princeton. http://socviz.co/.

Hicks, Stephanie C., and Roger D. Peng. 2019a. “Elements and Principles of Data Analysis.” arXiv.org. https://arxiv.org/abs/1903.07639v1.

———. 2019b. “Evaluating the Success of a Data Analysis.” arXiv.org. https://arxiv.org/abs/1904.11907.

Ismay, Chester, and Albert Y. Kim. 2019. Modern Dive: Statistical Inference via Data Science (a Moderndive into R and the Tidyverse). self-published. https://moderndive.com/.

Knaflic, Cole Nussbaumer. 2015. Storytelling with Data: A Data Visualization Guide for Business Professionals. Wiley. https://www.storytellingwithdata.com/.

Kosara, Robert. 2016a. “An Illustrated Tour of the Pie Chart Study Results.” 2016. https://eagereyes.org/blog/2016/an-illustrated-tour-of-the-pie-chart-study-results.

———. 2016b. “A Pair of Pie Chart Papers.” 2016. https://eagereyes.org/papers/a-pair-of-pie-chart-papers.

Larkin, Jill H., and Herbert A. Simon. 1987. “Why a Diagram Is (Sometimes) Worth Ten Thousand Words.” Cognitive Science 11 (1): 65–100. https://doi.org/10.1111/j.1551-6708.1987.tb00863.x.

Latanya Sweeney, Melissa Perry, Michael von Loewenfeldt. 2018. “Saying It’s Anonymous Doesn’t Make It so: Re-Identifications of ‘Anonymized’ Law School Data.” Technology Science, November. https://techscience.org/a/2018111301/.

Loo, Mark van der, and Edwin de Jonge. 2018. Statistical Data Cleaning with Applications in R. Wiley. https://onlinelibrary.wiley.com/doi/book/10.1002/9781118897126.

McElreath, Richard. 2016. Statistical Rethinking: A Bayesian Course with Examples in R and Stan. CRC Press.

Nicolas P. Rougier, Philip E. Bourne, Michael Droettboom. 2014. “Ten Simple Rules for Better Figures.” PLOS Computational Biology 10 (9). https://doi.org/10.1371/journal.pcbi.1003833.

O’Neil, Cathy. 2016. Weapons of Math Destruction: How Big Data Increases Inequality and Threatens Democracy. Crown.

Peng, Roger D. 2018. R Programming for Data Science. leanpub.com. https://leanpub.com/rprogramming.

Perez, Caroline Criado. 2019. Invisible Women: Data Bias in a World Designed for Men. Harry N. Abrams.

Pfeffermann, Danny. 2002. “Small Area Estimation: New Developments and Directions.” International Statistical Review / Revue Internationale de Statistique 70 (1): 125–43. https://doi.org/10.2307/1403729.

Raymond, Eric S. 1999. The Cathedral and the Bazaar: Musings on Linux and Open Source by an Accidental Revolutionary. O’Reilly Media. http://www.catb.org/esr/writings/cathedral-bazaar/.

Reynolds, Garr. 2008. Presentation Zen: Simple Ideas on Presentation Design and Delivery. New Riders. https://www.presentationzen.com/.

Ricks, Elizabeth. 2020. “What Is a Pie Chart?” 2020. http://www.storytellingwithdata.com/blog/2020/5/14/what-is-a-pie-chart.

Robbins, Naomi B. 2013. Creating More Effective Graphs. Chart House.

Russell, Bertrand. 1960. “The Social Responsibilities of Scientists.” Science 131 (3398): 391–92. http://www.jstor.org/stable/1705325.

Shawn Graham, Ian Milligan, and Scott Weingart. 2015. Exploring Big Historical Data: The Historian’s Macroscope. Imperial College Press. http://www.themacroscope.org/2.0/.

Sweeney, Latanya. 2001. “Information Explosion.” In Confidentiality, Disclosure, and Data Access: Theory and Practical Applications for Statistical Agencies, edited by J. Theeuwes L. Zayatz P. Doyle, 26. Washington, D.C.: Urban Institute. https://dataprivacylab.org/projects/explosion/index.html.

Tukey, John W. 1977. Exploratory Data Analysis. Addison-Wesley.

Wainer, Howard. 1984. “How to Display Data Badly.” The American Statistician 38 (2): 137–47. https://doi.org/10.1080/00031305.1984.10483186.

Wang, Earo, Dianne Cook, and Rob J Hyndman. 2019. “A New Tidy Data Structure to Support Exploration and Modeling of Temporal Data.”

Wickham, Hadley. 2014. “Tidy Data.” Journal of Statistical Software 59 (1): 1–23. https://doi.org/10.18637/jss.v059.i10.

———. 2015a. Advanced R. CRC Press. https://adv-r.hadley.nz/.

———. 2015b. R Packages: Organize, Test, Document, and Share Your Code. O’Reilly. http://r-pkgs.had.co.nz/.

Wickham, Hadley, and Garrett Grolemund. 2016. R for Data Science. O’Reilly Media. https://r4ds.had.co.nz/.

Wickham, Hadley, and Heike Hofmann. 2011. “Product Plots.” IEEE Transactions on Visualization and Computer Graphics 17 (12): 2223–30. https://doi.org/10.1109/TVCG.2011.227.

Wiley, Grace O. 1937. “Taming King Cobras.” Natural History XXXIX (1): 60–63. https://archive.org/details/naturalhistory39newy/page/60/mode/2up.

Yihui Xie, Amber Thomas, and Alison Presmanes Hill. 2019. Blogdown: Creating Websites with R Markdown. CRC Press / Chapman & Hall. https://bookdown.org/yihui/blogdown/.