Intro to Statistics and Data Science

References

Diez, David M, Christopher D Barr, and Mine Çetinkaya-Rundel. 2014. Introductory Statistics with Randomization and Simulation. First Edition. https://www.openintro.org/stat/textbook.php?stat_book=isrs.

Grolemund, Garrett, and Hadley Wickham. 2016. R for Data Science. http://r4ds.had.co.nz/.

Ismay, Chester. 2016. Getting Used to R, RStudio, and R Markdown. http://ismayc.github.io/rbasics-book.

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

Waring, Elin, Michael Quinn, Amelia McNamara, Eduardo Arino de la Rubia, Hao Zhu, and Shannon Ellis. 2019. Skimr: Compact and Flexible Summaries of Data. https://CRAN.R-project.org/package=skimr.

Wickham, Hadley. 2014. “Tidy Data.” Journal of Statistical Software Volume 59 (Issue 10). https://www.jstatsoft.org/index.php/jss/article/view/v059i10/v59i10.pdf.

———. 2019. Nycflights13: Flights That Departed Nyc in 2013. https://CRAN.R-project.org/package=nycflights13.

Wickham, Hadley, Winston Chang, Lionel Henry, Thomas Lin Pedersen, Kohske Takahashi, Claus Wilke, Kara Woo, Hiroaki Yutani, and Dewey Dunnington. 2020. Ggplot2: Create Elegant Data Visualisations Using the Grammar of Graphics.

Wickham, Hadley, and Lionel Henry. 2020. Tidyr: Tidy Messy Data. https://CRAN.R-project.org/package=tidyr.

Wilkinson, Leland. 2005. The Grammar of Graphics (Statistics and Computing). Secaucus, NJ, USA: Springer-Verlag New York, Inc.