book.bib

@Book{Albert_2009,
  title = {Bayesian Computation with R (Second Edition)},
  author = {Jim Albert},
  publisher = {Springer},
  year = {2009},
  isbn = {ISBN 978-0-387-92297-3},
}



@article{Anscombe_1973,
  title = {Graphs in Statistical Analysis},
  author = {F. J. Anscombe},
  year = {1973},
  journal = {The American Statistician},
  volume = {27},
  number = {1},
  pages = {17-21},
  DOI = {10.1080/00031305.1973.10478966},
  url = {https://www.tandfonline.com/doi/abs/10.1080/00031305.1973.10478966}
  }


@article{Baumer_2019,
author = {Benjamin S. Baumer},
title = {A Grammar for Reproducible and Painless Extract-Transform-Load Operations on Medium Data},
journal = {Journal of Computational and Graphical Statistics},
volume = {28},
number = {2},
pages = {256-264},
year  = {2019},
publisher = {Taylor & Francis},
doi = {10.1080/10618600.2018.1512867},

URL = { 
        https://doi.org/10.1080/10618600.2018.1512867
    
},
eprint = { 
        https://doi.org/10.1080/10618600.2018.1512867
    }
}

@Book{Bethlehem_2009,
  title = {Applied Survey Methods: A Statistical Perspective},
  author = {Jelke Bethlehem},
  publisher = {Wiley},
  series = {Wiley Series in Survey Methodology},
  year = {2009},
  isbn = {ISBN: 978-0-470-37308-8},
  url = {https://www.wiley.com/en-ca/Applied+Survey+Methods:+A+Statistical+Perspective-p-9780470373088},
}



@article{Brewer_2003,
  title = {A Transition in Improving Maps: The ColorBrewer Example},
  author = {Cynthia A. Brewer},
  year = {2003},
  journal = {Cartography and Geographic Information Science},
  volume = {30},
  number = {2},
  pages = {159-162},
  DOI = {10.1559/152304003100011126},
  url = {https://www.tandfonline.com/doi/abs/10.1559/152304003100011126}
  }


@article{Brewer_etal_2003,
  title = {ColorBrewer in Print: A Catalog of Color Schemes for Maps, Cartography and Geographic Information Science},
  author = {Cynthia A. Brewer, Geoffrey W. Hatchard, Mark A. Harrower},
  year = {2003},
  journal = {Cartography and Geographic Information Science},
  volume = {30},
  number = {1},
  pages = {5-32},
  DOI = {10.1559/152304003100010929},
  url = {https://www.tandfonline.com/doi/abs/10.1559/152304003100010929}
  }



@article{Broman_Woo_2017,
  title = {Data organization in spreadsheets},
  author = {Karl Broman and Kara Woo},
  year = {2017},
  journal = {The American Statistician},
  volume = {72},
  number = {1},
  pages = {2-10},
  DOI = {10.1080/00031305.2017.1375989},
  url = {http://www.tandfonline.com/doi/full/10.1080/00031305.2017.1375989}
  }


@Book{Bryan_Hester_WTF,
  title = {What They Forgot to Teach You About R},
  author = {Jennifer Bryan,
            Jim Hester},
  year = {2020},
  url = {https://rstats.wtf/},
}



@Book{Bryan_etal_Happy_Git,
  title = {Happy Git and GitHub for the useR},
  author = {Jennifer Bryan,
            the STAT 545 TAs,
            Jim Hester},
  year = {2020},
  url = {https://happygitwithr.com/},
}

@Book{Buttrey_Whitaker_2017,
  title = {A Data Scientist's Guide to Acquiring, Cleaning, and Managing Data in R},
  author = {Samuel E. Buttrey and Lyn R. Whitaker},
  publisher = {Wiley},
  year = {2017},
  isbn = {ISBN: 9781119080022},
  url = {https://onlinelibrary.wiley.com/doi/book/10.1002/9781119080053},
}



@Book{Cairo_2013,
  title = {The Functional Art: An Introduction to Information Graphics and Visualization},
  author = {Alberto Cairo},
  publisher = {New Riders},
  year = {2013},
  isbn = {ISBN 978-0-321-83473-7},
}

@Book{Cairo_2016,
  title = {The Truthful Art: Data, Charts, and Maps for Communication},
  author = {Alberto Cairo},
  publisher = {New Riders},
  year = {2016},
  isbn = {ISBN 9780321934079},
}

@article{Carmichael_Marron_2018,
  doi = {},
  url = {https://doi.org/10.1007/s42081-018-0009-3},
  year  = {2018},
  month = {},
  publisher = {},
  volume = {1},
  number = {1},
  author = {Iain Carmichael and J.S. Marron},
  title = {Data science vs. statistics: two cultures?},
  journal = {Japanese Journal of Statistics and Data Science}
}



@Book{Chang_2013,
  title = {R Graphics Cookbook},
  author = {Winston Chang},
  publisher = {O'Reilly},
  year = {2013},
  isbn = {ISBN 978-1-449-31695-2},
  url = {http://www.cookbook-r.com/Graphs/},
}


@Book{Chang_2018,
  title = {R Graphics Cookbook},
  edition = {second},
  author = {Winston Chang},
  publisher = {O'Reilly},
  year = {2018},
  isbn = {ISBN 9781491978603},
  url = {https://r-graphics.org/},
}


@Book{Cleveland_1993,
  title = {Visualizing Data},
  author = {William S. Cleveland},
  publisher = {Hobart Press},
  year = {1993},
  isbn = {ISBN 0-9634884-0-6},
}

@Book{Cleveland_1994,
  title = {The Elements of Graphing Data},
  author = {William S. Cleveland},
  publisher = {Hobart Press},
  year = {1994},
  isbn = {ISBN 0-9634884-1-4},
}


@article{Cleveland_and_McGill_1984,
author = { William S.   Cleveland  and  Robert   McGill },
title = {Graphical Perception: Theory, Experimentation, and Application to the Development of Graphical Methods},
journal = {Journal of the American Statistical Association},
volume = {79},
number = {387},
pages = {531-554},
year  = {1984},
publisher = {Taylor & Francis},
doi = {10.1080/01621459.1984.10478080},

URL = { 
        https://www.tandfonline.com/doi/abs/10.1080/01621459.1984.10478080
    
},
eprint = { 
        https://www.tandfonline.com/doi/pdf/10.1080/01621459.1984.10478080
    
}

}


@Book{Cunningham_mixtape,
  title = {Causal Inference: The Mixtape},
  author = {Scott Cunningham},
  publisher = {Yale University Press},
  year = {2021},
  isbn = {ISBN 9780300251685},
  url = {https://mixtape.scunning.com/}
}




@Book{Davenport_Harris_2007,
  title = {Competing on Analytics: The New Science of Winning},
  author = {Thomas H. Davenport and 
            Jeanne G. Harris},
  publisher = {Harvard Business School Press},
  year = {2007},
  isbn = {ISBN 978-1-4221-0332-6}
}


@Book{Duarte_2008,
  title = {slide:ology: the art and science of creating great presentations},
  author = {Nancy Duarte},
  publisher = {O'Reilly},
  year = {2008},
  isbn = {ISBN 978-0-596-52234-6},
  url = {https://www.duarte.com/books/slideology/},
}

@Book{Evergreen_2014,
  title = {Presenting Data Effectively: Communicating Your Findings for Maximum Impact},
  author = {Stephanie D.H. Evergreen},
  publisher = {Sage},
  year = {2014},
  isbn = {ISBN 978-1-4522-5736-5},
  url = {https://us.sagepub.com/en-us/nam/presenting-data-effectively/book246124},
}



@article{tm,
  title = {Text Mining Infrastructure in R},
  author = {Ingo Feinerer and
            Kurt Hornik and
            David Meyer},
  year = {2008},
  journal = {Journal of Statistical Software},
  volume = {25},
  number = {5},
  pages = {1-54},
  url = {http://www.jstatsoft.org/v25/i05/}
  }



@Book{Friendly_Meyer_2016,
  title = {Discrete Data Analysis with R: Visualization and Modeling Techniques for Categorical and Count Data},
  author = {Michael Friendly and
            David Meyer},
  publisher = {CRC Press},
  year = {2016},
  isbn = {ISBN 978-1-4987-2583-5},
}



@Book{Gandrud_2015,
  title = {Reproducible Research with R and R Studio (Second Edition)},
  author = {Christopher Gandrud},
  publisher = {Chapman and Hall/CRC},
  year = {2015},
  isbn = {ISBN 9781498715379}
}


@Book{Gelman_etal_2014,
  title = {Bayesian Data Analysis (Third Edition)},
  author = {Andrew Gelman, John B. Carlin,
            Hal S. Stern, David B. Dunson,
            Aki Vehtari, and Donald B. Rubin},
  publisher = {CRC Press},
  year = {2014},
  isbn = {ISBN 978-1-4398-4095-5},
}



@Book{Gillespie_Lovelace_2017,
  title = {Efficient R Programming: A Practical Guide to Smarter Programming},
  author = {Colin Gillespie and Robin Lovelace},
  publisher = {O'Reilly},
  year = {2017},
  isbn = {ISBN 978-1-491-95078-4},
  url = {https://csgillespie.github.io/efficientR/}
}


@Book{Graham_etal_2015,
  title = {Exploring Big Historical Data: The Historian's Macroscope},
  author = {Shawn Graham, Ian Milligan,
            and Scott Weingart},
  publisher = {Imperial College Press},
  year = {2015},
  isbn = {ISBN 978-1-78326-637-1},
  url = {http://www.themacroscope.org/2.0/}
}

@Book{Healy_2019,
  title = {Data Visualization: A Practical Introduction},
  author = {Kieran Healy},
  publisher = {Princeton},
  year = {2019},
  isbn = {ISBN 978-0-691-18162-2},
  url = {http://socviz.co/},
}


@article{Hicks_Peng_2019,
  title = {Elements and Principles of Data Analysis},
  author = {Stephanie C. Hicks and Roger D. Peng},
  year = {2019},
  journal = {arXiv.org},
  volume = {},
  number = {},
  pages = {},
  DOI = {},
  url = {https://arxiv.org/abs/1903.07639v1}
  }

@article{Hicks_Peng_2019b,
  title = {Evaluating the Success of a Data Analysis},
  author = {Stephanie C. Hicks and Roger D. Peng},
  year = {2019},
  journal = {arXiv.org},
  volume = {},
  number = {},
  pages = {},
  DOI = {},
  url = {https://arxiv.org/abs/1904.11907}
  }


@Book{Hundepool_etal_2012,
  title = {Statistical Disclosure Control},
  author = {Anco Hundepool and Josep Domingo-Ferrer and Luisa Franconi and 
            Sarah Giessing and Eric Schulte Nordholt and Keith Spicer and 
            Peter-Paul de Wolf},
  publisher = {Wiley},
  series = {Wiley Series in Survey Methodology},
  year = {2012},
  isbn = {ISBN: 978-0-470-37308-8},
  url = {http://ca.wiley.com/WileyCDA/WileyTitle/productCd-1119978157.html},
}


@Book{Hyndman_Athanasopoulos_2021,
    author = {Rob J Hyndman and George Athanasopoulos},
    title = {Forecasting: Principles and Practice},
    edition = {Third},
    publisher = {OTexts: Melbourne, Australia},
    year = {2021},
    url = {https://otexts.com/fpp3/},
    }




@Book{Ismay_Kim_2018,
  title = {Modern Dive: Statistical Inference via Data Science (A moderndive into R and the tidyverse)},
  author = {Chester Ismay and 
            Albert Y. Kim},
  publisher = {self-published},
  year = {2019},
  url = {https://moderndive.com/},
}



@Book{James_Witten_Hastie_Tibshirani_2014,
  title = {An Introduction to Statistical Learning},
  author = {Gareth James, Daniela Witten, Trevor Hastie, Robert Tibshirani},
  publisher = {Springer},
  year = {2014},
  isbn = {ISBN 978-1-4614-7138-7},
  url = {https://www.statlearning.com/},
}



@Book{Kirk_2016,
  title = {Data Visualisation: A Handbook for Data Driven Design},
  author = {Andy Kirk},
  publisher = {Sage},
  year = {2016},
  isbn = {ISBN 978-1-4739-1213-7},
}

@online{Kosara_pair_of_pies_2016,
    author = {Robert Kosara},
    title = {A Pair of Pie Chart Papers},
    year = {2016},
    url = {https://eagereyes.org/papers/a-pair-of-pie-chart-papers},
    note = {Accessed: 2020-05-20}
}


@online{Kosara_pie_2016,
    author = {Robert Kosara},
    title = {An Illustrated Tour of the Pie Chart Study Results},
    year = {2016},
    url = {https://eagereyes.org/blog/2016/an-illustrated-tour-of-the-pie-chart-study-results},
    note = {Accessed: 2020-05-20}
}



@article{Larkin_Simon_1987,
author = {Larkin, Jill H. and Simon, Herbert A.},
title = {Why a Diagram is (Sometimes) Worth Ten Thousand Words},
journal = {Cognitive Science},
volume = {11},
number = {1},
pages = {65-100},
doi = {10.1111/j.1551-6708.1987.tb00863.x},
url = {https://onlinelibrary.wiley.com/doi/abs/10.1111/j.1551-6708.1987.tb00863.x},
eprint = {https://onlinelibrary.wiley.com/doi/pdf/10.1111/j.1551-6708.1987.tb00863.x},
abstract = {We distinguish diagrammatic from sentential paper-and-pencil representations of information by developing alternative models of information-processing systems that are informationally equivalent and that can be characterized as sentential or diagrammatic. Sentential representations are sequential, like the propositions in a text. Diagrammatic representations are indexed by location in a plane. Diagrammatic representations also typically display information that is only implicit in sentential representations and that therefore has to be computed, sometimes at great cost, to make it explicit for use. We then contrast the computational efficiency of these representations for solving several illustrative problems in mathematics and physics. When two representations are informationally equivalent, their computational efficiency depends on the information-processing operators that act on them. Two sets of operators may differ in their capabilities for recognizing patterns, in the inferences they can carry out directly, and in their control strategies (in particular, the control of search). Diagrammatic and sentential representations support operators that differ in all of these respects. Operators working on one representation may recognize features readily or make inferences directly that are difficult to realize in the other representation. Most important, however, are differences in the efficiency of search for information and in the explicitness of information. In the representations we call diagrammatic, information is organized by location, and often much of the information needed to make an inference is present and explicit at a single location. In addition, cues to the next logical step in the problem may be present at an adjacent location. Therefore problem solving can proceed through a smooth traversal of the diagram, and may require very little search or computation of elements that had been implicit.},
year = {1987}
}

@Book{Long_Teetor_2019,
  title = {R Cookbook, 2nd Edition},
  author = {James (JD) Long, Paul Teetor},
  publisher = {O'Reilly},
  year = {2019},
  isbn = {ISBN 978-1492040682},
  url = {https://rc2e.com/},
}


@Book{McCallum_2012,
  title = {Bad Data Handbook: Cleaning Up The Data So You Can Get Back To Work},
  author = {O. Ethan McCallum},
  publisher = {O'Reilly},
  year = {2012},
  isbn = {ISBN 9781449321888}
}


@Book{McElreath_2016,
  title = {Statistical Rethinking: A Bayesian Course with Examples in R and Stan},
  author = {Richard McElreath},
  publisher = {CRC Press},
  year = {2016},
  isbn = {ISBN 978-1-4822-5344-3},
}


@online{Monroe_business_2018,
    author = {Jeffrey Monroe},
    title = {Business Analytics with R},
    year = {2018},
    url = {https://bookdown.org/jeffreytmonroe/business_analytics_with_r7/},
    note = {Accessed: 2020-05-19}
}



@Book{NussbaumerKnaflic_2015,
  title = {Storytelling with data: a data visualization guide for business professionals},
  author = {Cole Nussbaumer Knaflic},
  publisher = {Wiley},
  year = {2015},
  isbn = {ISBN 9781119002253},
  url = {https://www.storytellingwithdata.com/},
}


@Book{ONeil_2016,
  title = {Weapons of Math Destruction: How Big Data Increases Inequality and Threatens Democracy},
  author = {Cathy O'Neil},
  publisher = {Crown},
  year = {2016},
  isbn = {ISBN 978-0-553-41881-1},
}


@article{Parker_2017,
  title = {Opinionated analysis development},
  author = {Hilary Parker},
  year = {2017},
  journal = {PeerJ Preprints},
  volume = {3210v1},
  DOI = {10.7287/peerj.preprints.3210v1},
  url = {https://peerj.com/preprints/3210v1/}
  }



@Book{Peng2018,
  title = {R Programming for Data Science},
  author = {Roger D. Peng},
  publisher = {leanpub.com},
  year = {2018},
  isbn = {ISBN 978-1365056826},
  url = {https://leanpub.com/rprogramming},
}


@Book{Perez_2019,
  title = {Invisible Women: Data Bias in a World Designed for Men},
  author = {Caroline Criado Perez},
  publisher = {Harry N. Abrams},
  year = {2019},
  isbn = {ISBN 978-1419729072},
}



@article{Pfeffermann_2002,
 DOI = {10.2307/1403729},
 ISSN = {03067734, 17515823},
 URL = {http://www.jstor.org/stable/1403729},
 abstract = {The purpose of this paper is to provide a critical review of the main advances in small area estimation (SAE) methods in recent years. We also discuss some of the earlier developments, which serve as a necessary background for the new studies. The review focuses on model dependent methods with special emphasis on point prediction of the target area quantities, and mean square error assessments. The new models considered are models used for discrete measurements, time series models and models that arise under informative sampling. The possible gains from modeling the correlations among small area random effects used to represent the unexplained variation of the small area target quantities are examined. For review and appraisal of the earlier methods used for SAE, see Ghosh & Rao (1994). /// Cette communication a pour but de fournir une revue des principaux développements des méthodes d'estimation pour les statistiques des petites régions, des années récentes. Nous discutons également des développements précédents, qui serviront d'arrière-plan pour les études nouvelles. La revue se concentre sur les méthodes basées sur les modèles et met le point surtout sur la prédiction ponctuelle des quantités des petites régions et l'estimation des erreurs carrées moyennes. Les nouveaux modèles considérés sont des modèles employés pour les mesures discrètes, des modèles de séries temporelles et des modèles produits sous l'échantillonnage informatif. On examine aussi les bénéfices possibles de l'emploi des modèles pour décrire les corrélations entre les effets aléatoires des petites régions, afin de représenter la variation inexpliquée entre ces quantités. Une revue et une évaluation des méthodes employées antérieurement pour les statistiques des petites régions sont présentées par Ghosh & Rao (1994).},
 author = {Danny Pfeffermann},
 journal = {International Statistical Review / Revue Internationale de Statistique},
 number = {1},
 pages = {125--143},
 publisher = {[Wiley, International Statistical Institute (ISI)]},
 title = {Small Area Estimation: New Developments and Directions},
 volume = {70},
 year = {2002}
}


@Book{Raymond_CatB,
    author = {Eric S. Raymond},
    title = {The Cathedral and the Bazaar: Musings on Linux and Open Source by an Accidental Revolutionary},
    publisher = {O'Reilly Media},
    year = {1999},
    isbn = {1-565-92724-9},
    url = {http://www.catb.org/esr/writings/cathedral-bazaar/},
    }


@Book{Reynolds_2008,
  title = {Presentation Zen: Simple ideas on presentation design and delivery},
  author = {Garr Reynolds},
  publisher = {New Riders},
  year = {2008},
  isbn = {ISBN 978-0-321-52565-9},
  url = {https://www.presentationzen.com/},
}


@online{Ricks_pie_2020,
    author = {Elizabeth Ricks},
    title = {What is a Pie Chart?},
    year = {2020},
    url = {http://www.storytellingwithdata.com/blog/2020/5/14/what-is-a-pie-chart},
    note = {Accessed: 2020-05-20}
}


@Book{Roback_Legler_2021,
  title = {Beyond Multiple Linear Regression: Applied Generalized Linear Models and Multilevel Models in R},
  author = {Paul Roback, Julie Legler},
  publisher = {Chapman and Hall/CRC Press},
  year = {2021},
  isbn = {ISBN 9781439885383},
  url = {https://www.routledge.com/Beyond-Multiple-Linear-Regression-Applied-Generalized-Linear-Models-And/Roback-Legler/p/book/9781439885383}
}



@Book{Robbins_2013,
  title = {Creating More Effective Graphs},
  author = {Naomi B. Robbins},
  publisher = {Chart House},
  year = {2013},
  note = {978-0-9859111-2-6},
}


@Book{Rosling_2018,
  title = {Factfulness: Ten Reasons We're Wrong About the World—and Why Things Are Better Than You Think},
  author = {Hans Rosling, Ola Rosling, Anna Rosling Rönnlund},
  publisher = {Flatiron Books},
  year = {2018},
  isbn = {ISBN 978-1-250-10781-7}
}



@article{Rougier_etal_2014,
  title = {Ten Simple Rules for Better Figures},
  author = {Nicolas P. Rougier, Michael Droettboom, Philip E. Bourne},
  year = {2014},
  journal = {PLOS Computational Biology},
  volume = {10},
  number = {9},
  pages = {},
  DOI = {10.1371/journal.pcbi.1003833},
  url = {https://journals.plos.org/ploscompbiol/article?id=10.1371/journal.pcbi.1003833}
  }

@article{10.2307/1705325,
 ISSN = {00368075, 10959203},
 URL = {http://www.jstor.org/stable/1705325},
 author = {Bertrand Russell},
 journal = {Science},
 number = {3398},
 pages = {391--392},
 publisher = {American Association for the Advancement of Science},
 title = {The Social Responsibilities of Scientists},
 volume = {131},
 year = {1960}
}





@article{RJ-2018-058,
  author = {Julia Silge and John C. Nash and Spencer Graves},
  title = {{Navigating the R Package Universe}},
  year = {2018},
  journal = {{The R Journal}},
  doi = {10.32614/RJ-2018-058},
  url = {https://doi.org/10.32614/RJ-2018-058},
  pages = {558--563},
  volume = {10},
  number = {2}
}


@Book{Silge_Robinson2017,
  title = {Tidy Text Mining with R},
  author = {Julia Silge and 
            David Robinson},
  publisher = {O'Reilly Media},
  year = {2017},
  isbn = {ISBN 978-1491981658},
  url = {https://www.tidytextmining.com/},
}



@online{Smith_reproducible_2017,
    author = {David Smith},
    title = {Reproducible Data Science with R},
    year = {2017},
    url = {https://blog.revolutionanalytics.com/2017/04/reproducible-data-science-with-r.html},
    note = {Accessed: 2020-05-18}
}


@Book{Squire_2015,
  title = {Clean Data: Data Science Strategies for Tackling Dirty Data},
  author = {Megan Squire},
  publisher = {Packt Publishing},
  year = {2015},
  isbn = {ISBN 9781785284014}
}



@incollection{Sweeney_2001,
  author = {Latanya Sweeney},
  title = {Information Explosion},
  editor = {L. Zayatz, 
            P. Doyle, 
            J. Theeuwes, 
            J. Lane},
  booktitle = {Confidentiality, Disclosure, and Data Access: Theory and Practical Applications for Statistical Agencies},
  publisher = {Urban Institute},
  address = {Washington, D.C.},
  year  = {2001},
  pages = {26},
  url = {https://dataprivacylab.org/projects/explosion/index.html},
}


@article{Sweeney_etal_2018,
  url = {https://techscience.org/a/2018111301/},
  date  = {2018-11-13},
  author = {Latanya Sweeney,
            Michael von Loewenfeldt, 
            Melissa Perry},
  title = {Saying it’s Anonymous Doesn't Make It So: Re-identifications of “anonymized” law school data},
  journal = {{Technology Science}}
}




@article{R-tidytext,
  doi = {10.21105/joss.00037},
  url = {http://dx.doi.org/10.21105/joss.00037},
  year  = {2016},
  month = {jul},
  publisher = {The Open Journal},
  volume = {1},
  number = {3},
  author = {Julia Silge and David Robinson},
  title = {{tidytext}: Text Mining and Analysis Using Tidy Data Principles in R},
  journal = {{JOSS}}
}



@article{Taylor_Hamdy_2013,
author = {David C. M. Taylor and Hossam Hamdy},
title = {Adult learning theories: Implications for learning and teaching in medical education: AMEE Guide No. 83},
journal = {Medical Teacher},
volume = {35},
number = {11},
pages = {e1561-e1572},
year  = {2013},
publisher = {Taylor & Francis},
doi = {10.3109/0142159X.2013.828153},

URL = { 
        https://doi.org/10.3109/0142159X.2013.828153
    
},
eprint = { 
        https://doi.org/10.3109/0142159X.2013.828153
    
}

}





@Book{Teetor_2011,
  title = {R Cookbook},
  author = {Paul Teetor},
  publisher = {O'Reilly},
  year = {2011},
  isbn = {ISBN 978-0-596-80915-7},
  url = {http://shop.oreilly.com/product/9780596809164.do},
}




@Book{Tukey_1977,
    author = {John W. Tukey},
    title = {Exploratory Data Analysis},
    publisher = {Addison-Wesley},
    year = {1977},
    isbn = {0-201-07616-0},
    }


@Book{Van_der_Loo_de_Jonge_2018,
  title = {Statistical Data Cleaning with Applications in R},
  author = {Mark van der Loo and 
            Edwin de Jonge},
  publisher = {Wiley},
  year = {2018},
  isbn = {ISBN: 978-1-118-89715-7},
  url = {https://onlinelibrary.wiley.com/doi/book/10.1002/9781118897126},
}




@article{Wainer_1984,
   author = {Howard Wainer},
   title = {How to Display Data Badly},
   year = {1984},
   journal = {The American Statistician},
   volume = {38},
   number = {2},
   pages = {137-147},
   DOI = {10.1080/00031305.1984.10483186},
   url = {https://amstat.tandfonline.com/doi/abs/10.1080/00031305.1984.10483186#.XQ4m7uhKiUk}
  }





@misc{wang-tsibble-2019,
  Author = {Earo Wang and Dianne Cook and Rob J Hyndman},
  Title = {A new tidy data structure to support exploration and modeling of temporal data},
  Year = {2019},
  Eprint = {arXiv:1901.10257},
}


@online{Warden_2011,
    author = {Pete Warden},
    title = {Why you can’t really anonymize your data: It's time to accept and work within the limits of data anonymization.},
    year = {2011},
    url = {https://www.oreilly.com/content/anonymize-data-limits/},
    note = {Accessed: 2020-06-23}
}



@Book{R-ggplot2,
    author = {Hadley Wickham},
    title = {{ggplot2}: Elegant Graphics for Data Analysis},
    publisher = {Springer-Verlag New York},
    year = {2009},
    isbn = {978-0-387-98140-6},
    url = {http://ggplot2.org},
    }

@Book{R-ggplot2_2,
    author = {Hadley Wickham},
    title = {{ggplot2}: Elegant Graphics for Data Analysis (Second Edition)},
    publisher = {Springer},
    year = {2016},
    isbn = {978-3-319-24275-0},
    url = {http://ggplot2.org},
    }

@Book{Wickham_R-packages,
    author = {Hadley Wickham},
    title = {R Packages: Organize, Test, Document, and Share Your Code},
    publisher = {O'Reilly},
    year = {2015},
    isbn = {978-1-491-91059-7},
    url = {http://r-pkgs.had.co.nz/},
    }

@article{tidydata,
   author = {Hadley Wickham},
   title = {Tidy Data},
   journal = {Journal of Statistical Software},
   volume = {59},
   number = {1},
   year = {2014},
   keywords = {},
   issn = {1548-7660},
   pages = {1--23},
   doi = {10.18637/jss.v059.i10},
   url = {https://www.jstatsoft.org/index.php/jss/article/view/v059i10},
   }


@Book{Wickham_advancedR,
  title = {Advanced R},
  author = {Hadley Wickham},
  publisher = {CRC Press},
  year = {2015},
  isbn = {ISBN 978-1-4665-8696-3},
  url = {https://adv-r.hadley.nz/},
}

@Book{Wickham_advancedR_2,
  title = {Advanced R},
  author = {Hadley Wickham},
  publisher = {CRC Press},
  edition = {Second},
  year = {2019},
  isbn = {ISBN 978-0815384571},
  url = {https://adv-r.hadley.nz/},
}


   
@Book{Wickham_Grolemund2016,
    author = {Hadley Wickham and
              Garrett Grolemund},
    title = {R for Data Science},
    publisher = {O'Reilly Media},
    year = {2016},
    isbn = {978-1491910399},
    url = {https://r4ds.had.co.nz/},
    }


@Article{Wickham-Hofmann_2011,
   author = {Hadley Wickham and
             Heike Hofmann},
   title = {Product Plots},
   journal = {IEEE Transactions on Visualization and Computer Graphics},
   volume = {17},
   number = {12},
   year = {2011},
   keywords = {},
   issn = {},
   pages = {2223-2230},
   doi = {10.1109/TVCG.2011.227},
   url = {https://ieeexplore.ieee.org/document/6064987},
   }

@article{Wiley_1937,
  author = {Grace O. Wiley},
  title = {{Taming King Cobras}},
  year = {1937},
  month = {January},
  journal = {{Natural History}},
  publisher = {The American Museum of Natural History},
  url = {https://archive.org/details/naturalhistory39newy/page/60/mode/2up},
  pages = {60–63},
  volume = {XXXIX},
  number = {1}
}





@Book{Xie_bookdown,
  title = {Bookdown: Authoring Books and Technical Documents with R Markdown},
  author = {Yihui Xie},
  publisher = {CRC Press},
  year = {2017},
  isbn = {ISBN 978-1-138-70010-9},
  url = {https://bookdown.org/yihui/bookdown/},
}


@Book{Xie_dynamic,
  title = {Dynamic Documents with R and knitr},
  author = {Yihui Xie},
  publisher = {CRC Press},
  year = {2014},
  isbn = {ISBN 978-1-4822-0353-0},
}


@Book{Xie_etal_markdown,
  author = {Yihui Xie, 
            J.J. Allaire, 
            and Garrett Grolemund},
  title = {R Markdown: The Definitive Guide},
  publisher = {CRC Press / Chapman & Hall},
  year = {2019},
  isbn = {ISBN 9781138359338},
  url = {https://bookdown.org/yihui/rmarkdown/},
}
   
@Book{Xie_etal_blogdown_2019,
  author = {Yihui Xie, 
            Amber Thomas, 
            and Alison Presmanes Hill},
  title = {blogdown: Creating websites with R Markdown},
  publisher = {CRC Press / Chapman & Hall},
  year = {2019},
  isbn = {ISBN 9780815363729},
  url = {https://bookdown.org/yihui/blogdown/},
}