book.bib

@Book{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},
}

@article{ggplot2-paper,
  title = {A layered grammar of graphics},
  author = {Wickham, Hadley},
  journal = {Journal of Computational and Graphical Statistics},
  volume = {19},
  number = {1},
  pages = {3--28},
  year = {2010},
  publisher = {Taylor \& Francis}
}

@Book{xie2015,
  title = {Dynamic Documents with {R} and knitr},
  author = {Yihui Xie},
  publisher = {Chapman and Hall/CRC},
  address = {Boca Raton, Florida},
  year = {2015},
  edition = {2nd},
  note = {ISBN 978-1498716963},
  url = {http://yihui.name/knitr/},
}

@book{Wilkinson:2005,
 author = {Wilkinson, Leland},
 title = {The Grammar of Graphics (Statistics and Computing)},
 year = {2005},
 isbn = {0387245448},
 publisher = {Springer-Verlag New York, Inc.},
 address = {Secaucus, NJ, USA},
}

@article{plumbing,
  author = {Wickham, Hadley and Lawrence, Michael and Cook, Dianne and Buja, Andreas and Hofmann, Heike and Swayne, Deborah F},
  title = {{The Plumbing of Interactive Graphics}},
  journal = {Computational Statistics},
  year = {2010},
  pages = {1--7},
  month = apr
}

@article{banking,
 ISSN = {01621459},
 URL = {http://www.jstor.org/stable/2288843},
 abstract = {The shape parameter of a two-variable graph is the ratio of the horizontal and vertical distances spanned by the data. For at least 70 years this parameter has received much attention in writings on data display, because it is a critical factor on two-variable graphs that show how one variable depends on the other. But despite the attention, there has been little systematic study. In this article the shape parameter and its effect on the visual decoding of slope information are studied through historical, empirical, theoretical, and experimental investigations. These investigations lead to a method for choosing the shape that maximizes the accuracy of slope judgments.},
 author = {William S. Cleveland, Marylyn E. McGill, Robert McGill},
 journal = {Journal of the American Statistical Association},
 number = {402},
 pages = {289-300},
 publisher = {[American Statistical Association, Taylor & Francis, Ltd.]},
 title = {The Shape Parameter of a Two-Variable Graph},
 volume = {83},
 year = {1988}
}

@article{trellis,
 ISSN = {10618600},
 URL = {http://www.jstor.org/stable/1390777},
 abstract = {Trellis display is a framework for the visualization of data. Its most prominent aspect is an overall visual design, reminiscent of a garden trelliswork, in which panels are laid out into rows, columns, and pages. On each panel of the trellis, a subset of the data is graphed by a display method such as a scatterplot, curve plot, boxplot, 3-D wireframe, normal quantile plot, or dot plot. Each panel shows the relationship of certain variables conditional on the values of other variables. A number of display methods employed in the visual design of Trellis display enable it to succeed in uncovering the structure of data even when the structure is quite complicated. For example, Trellis display provides a powerful mechanism for understanding interactions in studies of how a response depends on explanatory variables. Three examples demonstrate this; in each case, we make important discoveries not appreciated in the original analyses. Several control methods are also essential to Trellis display. A control method is a technique for specifying information so that a display can be drawn. The control methods of Trellis display form a basic conceptual framework that can be used in designing software. We have demonstrated the viability of the control methods by implementing them in the S/S-PLUS system for graphics and data analysis, but they can be implemented in any software system with a basic capability for drawing graphs.},
 author = {Richard A. Becker, William S. Cleveland, Ming-Jen Shyu},
 journal = {Journal of Computational and Graphical Statistics},
 number = {2},
 pages = {123-155},
 publisher = {[American Statistical Association, Taylor & Francis, Ltd., Institute of Mathematical Statistics, Interface Foundation of America]},
 title = {The Visual Design and Control of Trellis Display},
 volume = {5},
 year = {1996}
}

@Book{lattice,
    title = {Lattice: Multivariate Data Visualization with R},
    author = {Deepayan Sarkar},
    publisher = {Springer},
    address = {New York},
    year = {2008},
    note = {ISBN 978-0-387-75968-5},
    url = {http://lmdvr.r-forge.r-project.org},
}

@online{viridis,
  author = {Berkeley Institute for Data Science},
  title = {mpl colormaps},
  year = 2016,
  url = {http://web.archive.org/web/20160601125258/http://bids.github.io/colormap/},
  urldate = {2016-06-01}
}

@article{graphical-perception,
  author = {Cleveland, William S and McGill, Robert},
  title = {{Graphical Perception: Theory, Experimentation, and Application to the Development of Graphical Methods}},
  journal = {Journal of the American Statistical Association},
  year = {1984},
  volume = {79},
  pages = {531--554},
  month = sep
}

@inproceedings{crowdsourcing-graphical-perception,
  title = {Crowdsourcing Graphical Perception: Using Mechanical Turk to Assess Visualization Design},
  author = {Jeffrey Heer AND Michael Bostock},
  booktitle = {ACM Human Factors in Computing Systems (CHI)},
  year = {2010},
  pages = {203--212},
  url = {http://vis.stanford.edu/papers/crowdsourcing-graphical-perception}
}

@online{few-values,
  author = {Stephen Few},
  title = {Data Visualization: Rules for Encoding Values in Graph },
  year = 2006,
  url = {https://web.archive.org/web/20160404214629/http://www.perceptualedge.com/articles/b-eye/encoding_values_in_graph.pdf},
  urldate = {2016-04-04}
}

@online{messing,
  author = {Solomon Messing},
  title = {Visualization series: Insight from Cleveland and Tufte on plotting numeric data by groups},
  year = 2012,
  url = {http://web.archive.org/web/20160602202734/https://solomonmessing.wordpress.com/2012/03/04/visualization-series-insight-from-cleveland-and-tufte-on-plotting-numeric-data-by-groups/},
  urldate = {2016-04-04}
}

@phdthesis{perception-stat-graphics,
    title    = {Perception in statistical graphics},
    school   = {Iowa State University},
    author   = {Susan Ruth VanderPlas},
    year     = {2015},
    url = {http://lib.dr.iastate.edu/cgi/viewcontent.cgi?article=5445&context=etd}
}

@Article{plyr,
    title = {The Split-Apply-Combine Strategy for Data Analysis},
    author = {Hadley Wickham},
    journal = {Journal of Statistical Software},
    year = {2011},
    volume = {40},
    number = {1},
    pages = {1--29},
    url = {http://www.jstatsoft.org/v40/i01/},
}

@article{Sturges,
  author = {Herbert A. Sturges},
  title = {The Choice of a Class Interval},
  journal = {Journal of the American Statistical Association},
  volume = {21},
  number = {153},
  pages = {65-66},
  year = {1926},
  doi = {10.1080/01621459.1926.10502161},
  URL = {http://dx.doi.org/10.1080/01621459.1926.10502161},
  eprint = {http://dx.doi.org/10.1080/01621459.1926.10502161}
}

@article{ash,
  author = {Scott, David W},
  title = {{Averaged shifted histogram}},
  journal = {Wiley Interdisciplinary Reviews: Computational Statistics},
  year = {2009},
  volume = {2},
  number = {2},
  pages = {160--164},
  month = dec
}

@article{hist-scott,
  author = {Scott, David W},
  title = {On optimal and data-based histograms},
  journal = {Biometrika},
  year = {1979},
  volume = {66},
  pages = {605–610},
}

@article{FD,
  author = {Freedman, D. and Diaconis, P.},
  title = {On the histogram as a density estimator: L_2 theory},
  journal = {Zeitschrift für Wahrscheinlichkeitstheorie und verwandte Gebiete},
  year = {1981},
  volume = {57},
  pages = {453–476},
}

@book{mde,
  author = {David W. Scott},
  title = {Multivariate density estimation: theory, practice, and visualization},
  publisher = {Wiley & Sons},
  year = {1992}
}

@online{overplotting,
  author = {Stephen S. Few},
  title = {Solutions to the Problem of Over-Plotting in Graphs.},
  year = {2008},
  url = {http://web.archive.org/web/20160603015016/http://www.perceptualedge.com/articles/visual_business_intelligence/over-plotting_in_graphs.pdf},
  urldate = {2016-06-03}
}

@article{scatterplots,
  author = {D. B. Carr, R. J. Littlefield, W. L. Nicholson and J. S. Littlefield},
  journal = {Journal of the American Statistical Association},
  year = {1987},
  volume = {82},
  pages = {424-436}
}

@article{details-on-demand,
  author = {Ben Shneiderman},
  title = {{The Eyes Have It:A Task by Data Type Taxonomy for Information Visualizations}},
  journal = {VL Proceedings of the IEEE Symposium on Visual Languages},
  year = {1996},
  pages = {1--9},
  month = jan
}

@article{Unwin:1999vp,
  author = {Unwin, Antony and Hofmann, Heike},
  title = {{GUI and Command-line - Conflict or Synergy?}},
  journal = {Proceedings of the st Symposium on the Interface},
  year = {2009},
  pages = {1--11},
  month = sep
}

@article{Cook:2007uk,
  author = {Cook, Dianne and Buja, Andreas and Swayne, Deborah F},
  title = {{Interactive High-Dimensional Data Visualization}},
  journal = {Journal of Computational and Graphical Statistics},
  year = {2007},
  pages = {1--23},
  month = dec
}

@article{xgobi,
  author = {Swayne, Deborah F and Cook, Dianne and Buja, Andreas},
  title = {{XGobi: Interactive Dynamic Data Visualization in the X Window System}},
  journal = {Journal of Computational and Graphical Statistics},
  year = {1998},
  volume = {7},
  number = {1},
  pages = {113--130},
  month = mar
}

@Article{brushing-scatterplots,
  author = 	 {RA Becker and WS Cleveland},
  title = 	 {Brushing scatterplots},
  journal = 	 {Technometrics},
  year = 	 1987,
  volume = 	 29,
  number = 	 2,
  pages = 	 {127--142},
  month = 	 {May}
}

@article{Ahlberg:1997tb,
author = {Ahlberg, Christopher and Williamson, Christopher and Ben Shneiderman},
title = {{Dynamic Queries for Information Exploration: An Implementation and Evaluation}},
journal = {ACM CHI Conference Proceedings},
year = {1997},
pages = {1--8},
month = jul
}

@Manual{cranvas,
   title = {Interactive statistical graphics based on Qt},
   author = {Yihui Xie, Heike Hofmann, Di Cook, Xiaoyue Cheng, Barret Schloerke, Marie Vendettuoli, Tengfei Yin, Hadley Wickham, Michael Lawrence},
   year = {2013},
   note = {R package version 0.8.5},
 }

@Article{lisp-stat,
  author = {Luke Tierney},
  journal = {The Journal of Statistical Software},
  title = {Some Notes on the Past and Future of Lisp-Stat},
  year = {2005},
  volume = {13},
  issue = {9},
  url = {http://www.jstatsoft.org/v13/a09/paper}
}

@book{mondrianbook,
  author = "Martin Theus and Simon Urbanek",
  title = "Interactive Graphics for Data Analysis: Principles and Examples",
  publisher = "Chapman & Hall / CRC.",
  year = 2008,
}

@Article{rggobi,
  author = {Hadley Wickham and Michael Lawrence and Temple Lang, Duncan and Deborah F Swayne},
  journal = {R-news},
  keywords = {software/ggobi},
  month = {October},
  number = {2},
  pages = {3–7},
  title = {An introduction to rggobi},
  url = {http://CRAN.R-project.org/doc/Rnews/Rnews_2008-2.pdf},
  volume = {8},
  year = {2008},
}


@Manual{loon,
    title = {loon: Interactive Statistical Visualization},
    author = {Adrian R. Waddell and R. Wayne Oldford},
    year = {2015},
    note = {R package version 1.0.1},
    url = {http://www.uwaterloon.ca},
}

@Manual{iPlots,
    title = {Acinonyx: iPlots eXtreme},
    author = {Simon Urbanek},
    note = {R package version 3.0-0},
    year = {2011},
    url = {http://www.rforge.net/Acinonyx/},
}

@Manual{shiny,
    title = {shiny: Web Application Framework for R},
    author = {Winston Chang and Joe Cheng and JJ Allaire and Yihui Xie and Jonathan McPherson},
    year = {2016},
    note = {R package version 0.14},
    url = {https://CRAN.R-project.org/package=shiny},
  }

@Manual{leaflet,
    title = {leaflet: Create Interactive Web Maps with the JavaScript 'Leaflet' Library},
    author = {Joe Cheng and Yihui Xie},
    year = {2016},
    note = {R package version 1.0.1.9004},
    url = {http://rstudio.github.io/leaflet/},
  }

@book{ggobi:2007,
   title = "Interactive and dynamic graphics for data analysis : with {R} and GGobi",
   author = "Dianne Cook and Deborah F. Swayne",
   series = "Use R !",
   publisher = "Springer",
   address = "New York",
   url = "http://www.ggobi.org/book/",
   isbn = "978-0-387-71761-6",
   year = 2007
}


@Manual{rbokeh,
    title = {rbokeh: R Interface for Bokeh},
    author = {Ryan Hafen and {Continuum Analytics, Inc.}},
    year = {2016},
    note = {R package version 0.4.2},
    url = {https://CRAN.R-project.org/package=rbokeh},
  }

@article{plumbing,
  author = {Wickham, Hadley and Lawrence, Michael and Cook, Dianne and Buja, Andreas and Hofmann, Heike and Swayne, Deborah F},
  title = {{The Plumbing of Interactive Graphics}},
  journal = {Computational Statistics},
  year = {2010},
  pages = {1--7},
  month = apr
}

@article{gpp,
  author = { John W.   Emerson  and  Walton A.   Green  and  Barret   Schloerke  and  Jason   Crowley  and  Dianne   Cook  and  Heike   Hofmann  and  Hadley   Wickham },
  title = {The Generalized Pairs Plot},
  journal = {Journal of Computational and Graphical Statistics},
  volume = {22},
  number = {1},
  pages = {79-91},
  year = {2013},
  doi = {10.1080/10618600.2012.694762},
  URL = {http://dx.doi.org/10.1080/10618600.2012.694762},
  eprint = { http://dx.doi.org/10.1080/10618600.2012.694762}
}

@incollection{viewing-pipeline,
  author      = "Andreas Buja, Daniel Asimov, Catherine Hurley and John A. McDonald",
  title       = "Elements of a Viewing Pipeline for Data Analysis",
  editor      = "William S. Cleveland and Marylyn E. McGill",
  booktitle   = "Dynamic Graphics for Statistics",
  publisher   = "Wadsworth, Inc.",
  address     = "Belmont, California",
  year        = 1988
}


@inproceedings{scagnostics-tukey,
  author = {J. W. Tukey and P. A. Tukey},
  title = {Computer graphics and exploratory data analysis: An introduction},
  booktitle = {In Proceedings of the Sixth Annual Conference and Exposition: Computer Graphics85}
}

@inproceedings{Wilkinson:2005b,
 author = {Wilkinson, Leland and Anand, Anushka and Grossman, Robert},
 title = {Graph-Theoretic Scagnostics},
 booktitle = {Proceedings of the Proceedings of the 2005 IEEE Symposium on Information Visualization},
 series = {INFOVIS '05},
 year = {2005},
 isbn = {0-7803-9464-x},
 pages = {21--},
 url = {http://dx.doi.org/10.1109/INFOVIS.2005.14},
 doi = {10.1109/INFOVIS.2005.14},
 acmid = {1106587},
 publisher = {IEEE Computer Society},
 address = {Washington, DC, USA},
 keywords = {visualization, statistical graphics},
}

@article{Wilkinson:2008,
  author = {Leland Wilkinson and Graham Wills},
  title = {Scagnostics Distributions},
  journal = {Journal of Computational and Graphical Statistics},
  volumne = {17},
  number = {2},
  year = {2008},
  pages = {473-491}
}

@article{Wilkinson:2012,
  author = {Dang, Tuan Nhon and Wilkinson, Leland},
  title = {{Timeseer: Detecting interesting distributions in multiple time series data}},
  journal = {VINCI },
  year = {2012},
  pages = {1--9},
  month = oct
}

@article{RHIPE,
  author = {Saptarshi Guha, Ryan Hafen, Jeremiah Rounds, Jin Xia, Jianfu Li,
Bowei Xi and William S. Cleveland},
  title = {Large complex data: divide and recombine (D&R) with RHIPE},
  journal = {The ISI’s Journal for the Rapid Dissemination of Statistics Research},
  year = {2012},
  pages = {53-67},
  month = aug
}

@article{divide-recombine,
  author = {William S. Cleveland and Ryan Hafen},
  title = {Divide and recombine (D&R): Data science for large complex data},
  journal = {Statistical Analysis and Data Mining: The ASA Data Science Journal},
  volume = {7},
  issue = {6},
  year = {2014},
  month = dec,
  pages = {425–433}
}

@INPROCEEDINGS{trelliscope,
  author={R. Hafen and L. Gosink and J. McDermott and K. Rodland and K. K. V. Dam and W. S. Cleveland},
  booktitle={Large-Scale Data Analysis and Visualization (LDAV), 2013 IEEE Symposium on},
  title={Trelliscope: A system for detailed visualization in the deep analysis of large complex data},
  year={2013},
  pages={105-112},
  doi={10.1109/LDAV.2013.6675164},
  month={Oct}
}

@online{SQLjs,
  author = {Ophir LOJKINE & Contributors},
  title = {SQLite compiled to javascript},
  year = 2016,
  url = {https://github.com/kripken/sql.js},
  urldate = {2016-10-01}
}

@online{selectizejs,
  author = {Brian Reavis & Contributors},
  title = {Selectize is an extensible jQuery-based custom <select> UI control},
  year = 2016,
  url = {https://github.com/selectize/selectize.js},
  urldate = {2016-10-01}
}

@article{orca,
  author = {Peter Sutherland, Anthony Rossini, Thomas Lumley, Nicholas Lewin-Koh, Julie Dickerson, Zach Cox and Dianne Cook},
  title = {Orca: A Visualization Toolkit for High-Dimensional Data},
  journal = {Journal of Computational and Graphical Statistics},
  volume = {9},
  issue = {3},
  year = {2000},
  month = sept,
  pages = {509-529}
}

@online{ggobi-pipeline-design,
  author = {Michael Lawrence},
  title = {The GGobi data pipeline},
  url = {http://web.archive.org/web/20100613025720/http://www.ggobi.org/docs/pipeline-design.pdf}
}

@incollection{S3,
  author = {Chambers, J. M.},
  title = {Classes and methods: object-oriented programming in S},
  editor = {J. M. Chambers and T. J. Hastie},
  booktitle  = {Statistical Models in S},
  publisher = {Wadsworth & Brooks/Cole},
  year = {1992},
}

@BOOK{adv-r,
  title = {Advanced R},
  author = {Hadley Wickham},
  publisher = {Chapman & Hall},
  isbn = {978-1466586963},
  year = {2014}
}


@article{grand-tour,
 author = {Asimov, Daniel},
 title = {The Grand Tour:  A Tool for Viewing Multidimensional Data},
 journal = {SIAM J. Sci. Stat. Comput.},
 issue_date = {Jan. 1985},
 volume = {6},
 number = {1},
 month = jan,
 year = {1985},
 issn = {0196-5204},
 pages = {128--143},
 numpages = {16},
 url = {http://dx.doi.org/10.1137/0906011},
 doi = {10.1137/0906011},
 acmid = {2906},
 publisher = {Society for Industrial and Applied Mathematics},
 address = {Philadelphia, PA, USA},
}

@article{model-vis-paper,
	Author = {Wickham, Hadley and Cook, Dianne and Hofmann, Heike},
	Journal = {Statistical Analysis and Data Mining: The ASA Data Science Journal},
	Number = {4},
	Pages = {203--225},
	Title = {Visualizing statistical models: Removing the blindfold},
	Volume = {8},
	Year = {2015}
}

@article{selection-sequences,
  author = {Hofmann, Heike and Theus, Martin},
  title = {{Selection sequences in MANET}},
  journal = {Computational Statistics},
  year = {1998},
  pages = {1--12},
  month = jan
}

@article{sine-illusion,
  author = {Susan VanderPlas and Heike Hofmann},
  title = {Signs of the Sine Illusion—Why We Need to Care},
  journal = {Journal of Computational and Graphical Statistics},
  volume = {24},
  number = {4},
  pages = {1170-1190},
  year = {2015},
  doi = {10.1080/10618600.2014.951547},
  URL = {http://dx.doi.org/10.1080/10618600.2014.951547}
}