000 03735cam a2200589Ki 4500
001 9780429447273
003 FlBoTFG
005 20220509193102.0
006 m o d
007 cr cnu---unuuu
008 200208s2020 flu o 000 0 eng d
040 _aOCoLC-P
_beng
_erda
_cOCoLC-P
020 _a9780429824210
_qelectronic book
020 _a0429824211
_qelectronic book
020 _a9780429447273
_qelectronic book
020 _a0429447272
_qelectronic book
020 _a9780429824203
_q(electronic bk.)
020 _a0429824203
_q(electronic bk.)
020 _a9780429824197
_q(electronic bk. : Mobipocket)
020 _a042982419X
_q(electronic bk. : Mobipocket)
020 _z113833149X
020 _z9781138331495
020 _z9781138331457
020 _z1138331457
035 _a(OCoLC)1139924454
_z(OCoLC)1139382752
035 _a(OCoLC-P)1139924454
050 4 _aQA76.9.I52
_bS54 2020eb
072 7 _aBUS
_x061000
_2bisacsh
072 7 _aCOM
_x012000
_2bisacsh
072 7 _aMAT
_x029000
_2bisacsh
072 7 _aUB
_2bicssc
082 0 4 _a001.4/226
_223
100 1 _aSievert, Carson,
_eauthor.
245 1 0 _aInteractive web-based data visualization with R, plotly, and shiny /
_cCarson Sievert.
264 1 _aBoca Raton, FL :
_bCRC Press,
_c[2020]
300 _a1 online resource.
336 _atext
_btxt
_2rdacontent
337 _acomputer
_bc
_2rdamedia
338 _aonline resource
_bcr
_2rdacarrier
490 1 _aChapman and Hall/CRC the R series
500 _a"A Chapman & Hall book."
520 _aThe richly illustrated Interactive Web-Based Data Visualization with R, plotly, and shiny focuses on the process of programming interactive web graphics for multidimensional data analysis. It is written for the data analyst who wants to leverage the capabilities of interactive web graphics without having to learn web programming. Through many R code examples, you will learn how to tap the extensive functionality of these tools to enhance the presentation and exploration of data. By mastering these concepts and tools, you will impress your colleagues with your ability to quickly generate more informative, engaging, and reproducible interactive graphics using free and open source software that you can share over email, export to pdf, and more. Key Features: Convert static ggplot2 graphics to an interactive web-based form Link, animate, and arrange multiple plots in standalone HTML from R Embed, modify, and respond to plotly graphics in a shiny app Learn best practices for visualizing continuous, discrete, and multivariate data Learn numerous ways to visualize geo-spatial data This book makes heavy use of plotly for graphical rendering, but you will also learn about other R packages that support different phases of a data science workflow, such as tidyr, dplyr, and tidyverse. Along the way, you will gain insight into best practices for visualization of high-dimensional data, statistical graphics, and graphical perception. The printed book is complemented by an interactive website where readers can view movies demonstrating the examples and interact with graphics.
588 _aOCLC-licensed vendor bibliographic record.
650 0 _aInformation visualization.
650 0 _aInteractive computer graphics.
650 0 _aWeb sites
_xDesign.
650 0 _aR (Computer program language)
650 7 _aBUSINESS & ECONOMICS / Statistics
_2bisacsh
650 7 _aCOMPUTERS / Computer Graphics / General
_2bisacsh
650 7 _aMATHEMATICS / Probability & Statistics / General
_2bisacsh
856 4 0 _3Taylor & Francis
_uhttps://www.taylorfrancis.com/books/9780429447273
856 4 2 _3OCLC metadata license agreement
_uhttp://www.oclc.org/content/dam/oclc/forms/terms/vbrl-201703.pdf
999 _c129503
_d129503