Interactive web-based data visualization with R, plotly, and shiny:
The 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 h...
Gespeichert in:
| 1. Verfasser: | |
|---|---|
| Format: | Buch |
| Sprache: | English |
| Veröffentlicht: |
Boca Raton ; London ; New York
CRC Press
[2020]
|
| Schriftenreihe: | The R series
|
| Schlagworte: | |
| Online-Zugang: | Volltext Inhaltsverzeichnis Klappentext |
| Zusammenfassung: | The 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.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. |
| Beschreibung: | xii, 436 Seiten Illustrationen, Diagramme, Karten |
| ISBN: | 9781138331457 9781138331495 |
Internformat
MARC
| LEADER | 00000nam a2200000 c 4500 | ||
|---|---|---|---|
| 001 | BV046622058 | ||
| 003 | DE-604 | ||
| 005 | 20231005 | ||
| 007 | t | ||
| 008 | 200310s2020 a||| |||| 00||| eng d | ||
| 020 | |a 9781138331457 |c pbk |9 978-1-138-33145-7 | ||
| 020 | |a 9781138331495 |c hbk |9 978-1-138-33149-5 | ||
| 035 | |a (OCoLC)1164611223 | ||
| 035 | |a (DE-599)BVBBV046622058 | ||
| 040 | |a DE-604 |b ger |e rda | ||
| 041 | 0 | |a eng | |
| 049 | |a DE-355 |a DE-824 |a DE-19 |a DE-703 |a DE-706 |a DE-1102 |a DE-N2 |a DE-188 | ||
| 084 | |a ST 320 |0 (DE-625)143657: |2 rvk | ||
| 084 | |a ST 601 |0 (DE-625)143682: |2 rvk | ||
| 100 | 1 | |a Sievert, Carson |e Verfasser |0 (DE-588)120332944X |4 aut | |
| 245 | 1 | 0 | |a Interactive web-based data visualization with R, plotly, and shiny |c Carson Sievert |
| 264 | 1 | |a Boca Raton ; London ; New York |b CRC Press |c [2020] | |
| 300 | |a xii, 436 Seiten |b Illustrationen, Diagramme, Karten | ||
| 336 | |b txt |2 rdacontent | ||
| 337 | |b n |2 rdamedia | ||
| 338 | |b nc |2 rdacarrier | ||
| 490 | 0 | |a The R series | |
| 520 | 3 | |a The 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.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. | |
| 650 | 0 | 7 | |a Visualisierung |0 (DE-588)4188417-6 |2 gnd |9 rswk-swf |
| 650 | 0 | 7 | |a R |g Programm |0 (DE-588)4705956-4 |2 gnd |9 rswk-swf |
| 689 | 0 | 0 | |a Visualisierung |0 (DE-588)4188417-6 |D s |
| 689 | 0 | 1 | |a R |g Programm |0 (DE-588)4705956-4 |D s |
| 689 | 0 | |5 DE-604 | |
| 856 | 4 | 1 | |u https://plotly-r.com |z kostenfrei |3 Volltext |
| 856 | 4 | 2 | |m Digitalisierung UB Regensburg - ADAM Catalogue Enrichment |q application/pdf |u http://bvbr.bib-bvb.de:8991/F?func=service&doc_library=BVB01&local_base=BVB01&doc_number=032033756&sequence=000001&line_number=0001&func_code=DB_RECORDS&service_type=MEDIA |3 Inhaltsverzeichnis |
| 856 | 4 | 2 | |m Digitalisierung UB Regensburg - ADAM Catalogue Enrichment |q application/pdf |u http://bvbr.bib-bvb.de:8991/F?func=service&doc_library=BVB01&local_base=BVB01&doc_number=032033756&sequence=000003&line_number=0002&func_code=DB_RECORDS&service_type=MEDIA |3 Klappentext |
| 999 | |a oai:aleph.bib-bvb.de:BVB01-032033756 | ||
Datensatz im Suchindex
| _version_ | 1804181302402875392 |
|---|---|
| adam_text | Contents і Introduction 1.1 Why interactive web graphics jrom R?.......................... 1.2 What you will learn ...................................................... 1.3 What you won’t learn (much of)................................... 1.3.1 Web technologies ............................................. 1.3.2 d3]s...................................................................... 1.3.Յ ggplot2................................................................. 1.3.4 Graphical data analysis ................................... 1.3.5 Data visualization best practices................... 1.4 Prerequisites................................................................... 1.5 Run code examples.......................................................... 1.6 Getting help and learning more................................... 1.7 Acknowledgments.......................................................... 1.8 Colophon.......................................................................... i i η 12 12 12 12 13 13 13 14 14 is 16 1 Creating views 21 2 Overview 2.1 Intro to plot_!y()............................................................. 2.2 Intro to plotły.js ............................................................. 2.3 Intro to ggplotlyO .......................................................... 23 23 32 36 3 Scattered foundations 3.1 Markers.............................................................................. 3.1.1 Alpha blending................................................... 3.1.2 Colors................................................................... 3.1.3
Symbols................................................................ 3.1.4 Stroke and span................................................ 3.1.5 Size...................................................................... 3.1.6 Dotplots and error bars................................... 45 51 52 53 56 59 60 62 vii
viii Contents 3.2 3.3 4 6 7 66 73 74 77 79 81 4.1 82 Integrated maps........................................................ 4.1.1 Overview....................................................... 4.1.2 Choropleths .................................................. Custom maps . ........................................................... 4.2.1 Simple features (sf) ...................................... 4.2.2 Cartograms.................................................... 82 91 94 94 101 Bars and histograms 107 5.1 5.2 no ա Multiple numericdistributions................................. Multiple discrete distributions ................................ Boxplots И5 2D frequencies Ո9 7.1 7.2 7.3 8 64 64 Maps 4.2 5 Lines ......................................................................... 3.2.1 Linetypes........................................................ 3.2.2 Segments........................................................ 3.2.3 Density plots.................................................. 3.2.4 Parallel coordinates...................................... Polygons ................................................................... 3.3.1 Ribbons.......................................................... Rectangular binning inplotły.js................................. Rectangular binning inR ......................................... Categorical axes ....................................................... 3D charts 8.1 8.2 8.3 8.4 8.5 Markers..................................................................... Paths
........................................................................ Lines ........................................................................ Axes........................................................................... Surfaces .................................................................. 119 12.0 122 12s tz5 12-6 127 129 130 IIPublishing views 133 9 135 Introduction 10 Saving and embedding HTML 137
ix Contents 11 Exporting static images 11.1 With code................................................................. 141 141 11.2 From a browser ...................................................... 11.3 Sizing exports ......................................................... 142. 12 Editing views for publishing III Combining multiple views 13 Arranging views 13.1 Arranging plotły objects........................................... 13.1.1 13.1.2 Recursive subplots........................................ Other approaches and applications.............. 13.2 Arranging htmlwidgets ........................................... 13.2.1 flexdashboard.................................................. 13.2.2 Bootstrap grid layout .................................. 13.2.3 CSS flexbox........................................................ 13.3 Arranging many views.................................................. 14 Animating views 14.1 Animation API.............................................................. 14.2 Animation support................................................... IV Linking multiple views 144 145 149 151 151 155 158 164 165 166 167 169 173 173 177 183 15 Introduction 185 16 Client-side linking 16.1 Graphical queries 189 189 ........................................................ 16.2 Highlight versus filter events .................................. 16.3 Linking animated views........................................... 16.4 Examples................................................................. 16.4.1 Querying faceted charts............................... 16.4.2
Statistical queries ........................................ 16.4.3 Statistical queries with ggpiottyO................. 16.4.4 Geo-spatial queries........................................ 16.4.5 Linking with other htmlwidgets.................... 198 204 208 208 214 219 222 226
x Contents 16.4.6 Generalized pairs plots ................................. 16.4.7 Querying diagnostic plots.............................. 16.5 Limitations.................................................................. 17 Server-side linking with shiny 17.1 Embedding plotły in shiny.......................................... 17.1.1 Your first shiny app ....................................... 17.1.2 Hiding and redrawing on resize..................... 17.2 Leveraging plotły input events ................................. 17.2.1 Dragging events............................................. 17.2.2 3D events......................................................... 17.2.Յ Edit events..................................................... 17.2.4 Relayout vs. restyle events.............................. 17.2.5 Scoping events................................................ 17.2.6 Event priority ................................................ 17.2.7 Handling discrete axes.................................... 17.2.8 Accumulating and managing event data ... 17.Յ Improving performance............................................ 17.3.1 Partial plody updates .................................... 17.3.2 Partial update examples................................. 17.4 Advanced applications............................................... 17.4.1 Drill-down..................................................... 17.4.2 Cross-filter..................................................... 17.4.3 A draggable brush.......................................... 17.5 Discussion
................................................................. V Event handling in JavaScript 229 230 236 239 240 240 244 246 247 249 251 256 259 262 264 267 270 271 276 282 282 298 307 308 311 18 Introduction 313 19 Working with JSON 319 19.1 Assignment, subsetting, and iteration ..................... 19.2 Mapping R to JSON .................................................. 319 322 20 Adding custom event handlers 325 21 Supplying custom data 327
xi Contents 22 Leveraging web technologies from R 22.1 Web infrastructure ...................................................... 22.2 Modern JS and React...................................................... 343 343 34s VI 353 Various special topics 23 Is plotły free and secure? 355 24 Improving performance 357 25 Controlling tooltips 25.1 p!ot_ly () tooltips............................................................. 25.2 ggpiotiyO tooltips......................................................... 25.Յ Styling ............................................................................ 359 359 365 370 26 Control the modebar 26.1 Remove the entire modebar......................................... 26.2 Remove the plotły logo................................................... 26.3 Remove modebar buttons by name............................. 26.4 Add custom modebar buttons...................................... 26.5 Control image downloads............................................. 373 373 373 374 374 376 27 Working with colors 379 28 Working with symbols and glyphs 383 29 Embedding images 387 30 Language support 391 31 LaTeX rendering 31.1 Math Jax caveats ............................................................. 397 400 32 The data-plot-pipeline 401 33 Improving ggpiottyo 33-1 Modifying layout............................................................ 33.2 Modifying data................................................................ 33-3 Leveraging statistical output ..................................... 407 408 409 412
xii Contents 34 Translating custom ggplot2 geoms 417 Bibliography 421 Index 433
The richly Illustrated Interactive Web-Based Data Visualization with R, plotły, 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 plotły 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 plotły 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.
Carson Sievert is the maintainer of the plotły R package, a recipient of the American Statistical Association’s John Chambers award, and member of the ASA’s Section on Statistical Graphics. After receiving a PhD in statistics from Iowa State, Sievert joined RStudio as a software engineer to work on software that bridges R and web technologies such as shiny, plotły, and rmarkdown.
|
| adam_txt |
Contents і Introduction 1.1 Why interactive web graphics jrom R?. 1.2 What you will learn . 1.3 What you won’t learn (much of). 1.3.1 Web technologies . 1.3.2 d3]s. 1.3.Յ ggplot2. 1.3.4 Graphical data analysis . 1.3.5 Data visualization best practices. 1.4 Prerequisites. 1.5 Run code examples. 1.6 Getting help and learning more. 1.7 Acknowledgments. 1.8 Colophon. i i η 12 12 12 12 13 13 13 14 14 is 16 1 Creating views 21 2 Overview 2.1 Intro to plot_!y(). 2.2 Intro to plotły.js . 2.3 Intro to ggplotlyO . 23 23 32 36 3 Scattered foundations 3.1 Markers. 3.1.1 Alpha blending. 3.1.2 Colors. 3.1.3
Symbols. 3.1.4 Stroke and span. 3.1.5 Size. 3.1.6 Dotplots and error bars. 45 51 52 53 56 59 60 62 vii
viii Contents 3.2 3.3 4 6 7 66 73 74 77 79 81 4.1 82 Integrated maps. 4.1.1 Overview. 4.1.2 Choropleths . Custom maps . . 4.2.1 Simple features (sf) . 4.2.2 Cartograms. 82 91 94 94 101 Bars and histograms 107 5.1 5.2 no ա Multiple numericdistributions. Multiple discrete distributions . Boxplots И5 2D frequencies Ո9 7.1 7.2 7.3 8 64 64 Maps 4.2 5 Lines . 3.2.1 Linetypes. 3.2.2 Segments. 3.2.3 Density plots. 3.2.4 Parallel coordinates. Polygons . 3.3.1 Ribbons. Rectangular binning inplotły.js. Rectangular binning inR . Categorical axes . 3D charts 8.1 8.2 8.3 8.4 8.5 Markers. Paths
. Lines . Axes. Surfaces . 119 12.0 122 12s tz5 12-6 127 129 130 IIPublishing views 133 9 135 Introduction 10 Saving and embedding HTML 137
ix Contents 11 Exporting static images 11.1 With code. 141 141 11.2 From a browser . 11.3 Sizing exports . 142. 12 Editing views for publishing III Combining multiple views 13 Arranging views 13.1 Arranging plotły objects. 13.1.1 13.1.2 Recursive subplots. Other approaches and applications. 13.2 Arranging htmlwidgets . 13.2.1 flexdashboard. 13.2.2 Bootstrap grid layout . 13.2.3 CSS flexbox. 13.3 Arranging many views. 14 Animating views 14.1 Animation API. 14.2 Animation support. IV Linking multiple views 144 145 149 151 151 155 158 164 165 166 167 169 173 173 177 183 15 Introduction 185 16 Client-side linking 16.1 Graphical queries 189 189 . 16.2 Highlight versus filter events . 16.3 Linking animated views. 16.4 Examples. 16.4.1 Querying faceted charts. 16.4.2
Statistical queries . 16.4.3 Statistical queries with ggpiottyO. 16.4.4 Geo-spatial queries. 16.4.5 Linking with other htmlwidgets. 198 204 208 208 214 219 222 226
x Contents 16.4.6 Generalized pairs plots . 16.4.7 Querying diagnostic plots. 16.5 Limitations. 17 Server-side linking with shiny 17.1 Embedding plotły in shiny. 17.1.1 Your first shiny app . 17.1.2 Hiding and redrawing on resize. 17.2 Leveraging plotły input events . 17.2.1 Dragging events. 17.2.2 3D events. 17.2.Յ Edit events. 17.2.4 Relayout vs. restyle events. 17.2.5 Scoping events. 17.2.6 Event priority . 17.2.7 Handling discrete axes. 17.2.8 Accumulating and managing event data . 17.Յ Improving performance. 17.3.1 Partial plody updates . 17.3.2 Partial update examples. 17.4 Advanced applications. 17.4.1 Drill-down. 17.4.2 Cross-filter. 17.4.3 A draggable brush. 17.5 Discussion
. V Event handling in JavaScript 229 230 236 239 240 240 244 246 247 249 251 256 259 262 264 267 270 271 276 282 282 298 307 308 311 18 Introduction 313 19 Working with JSON 319 19.1 Assignment, subsetting, and iteration . 19.2 Mapping R to JSON . 319 322 20 Adding custom event handlers 325 21 Supplying custom data 327
xi Contents 22 Leveraging web technologies from R 22.1 Web infrastructure . 22.2 Modern JS and React. 343 343 34s VI 353 Various special topics 23 Is plotły free and secure? 355 24 Improving performance 357 25 Controlling tooltips 25.1 p!ot_ly () tooltips. 25.2 ggpiotiyO tooltips. 25.Յ Styling . 359 359 365 370 26 Control the modebar 26.1 Remove the entire modebar. 26.2 Remove the plotły logo. 26.3 Remove modebar buttons by name. 26.4 Add custom modebar buttons. 26.5 Control image downloads. 373 373 373 374 374 376 27 Working with colors 379 28 Working with symbols and glyphs 383 29 Embedding images 387 30 Language support 391 31 LaTeX rendering 31.1 Math Jax caveats . 397 400 32 The data-plot-pipeline 401 33 Improving ggpiottyo 33-1 Modifying layout. 33.2 Modifying data. 33-3 Leveraging statistical output . 407 408 409 412
xii Contents 34 Translating custom ggplot2 geoms 417 Bibliography 421 Index 433
The richly Illustrated Interactive Web-Based Data Visualization with R, plotły, 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 plotły 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 plotły 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.
Carson Sievert is the maintainer of the plotły R package, a recipient of the American Statistical Association’s John Chambers award, and member of the ASA’s Section on Statistical Graphics. After receiving a PhD in statistics from Iowa State, Sievert joined RStudio as a software engineer to work on software that bridges R and web technologies such as shiny, plotły, and rmarkdown. |
| any_adam_object | 1 |
| any_adam_object_boolean | 1 |
| author | Sievert, Carson |
| author_GND | (DE-588)120332944X |
| author_facet | Sievert, Carson |
| author_role | aut |
| author_sort | Sievert, Carson |
| author_variant | c s cs |
| building | Verbundindex |
| bvnumber | BV046622058 |
| classification_rvk | ST 320 ST 601 |
| ctrlnum | (OCoLC)1164611223 (DE-599)BVBBV046622058 |
| discipline | Informatik |
| discipline_str_mv | Informatik |
| format | Book |
| fullrecord | <?xml version="1.0" encoding="UTF-8"?><collection xmlns="http://www.loc.gov/MARC21/slim"><record><leader>03180nam a2200409 c 4500</leader><controlfield tag="001">BV046622058</controlfield><controlfield tag="003">DE-604</controlfield><controlfield tag="005">20231005 </controlfield><controlfield tag="007">t</controlfield><controlfield tag="008">200310s2020 a||| |||| 00||| eng d</controlfield><datafield tag="020" ind1=" " ind2=" "><subfield code="a">9781138331457</subfield><subfield code="c">pbk</subfield><subfield code="9">978-1-138-33145-7</subfield></datafield><datafield tag="020" ind1=" " ind2=" "><subfield code="a">9781138331495</subfield><subfield code="c">hbk</subfield><subfield code="9">978-1-138-33149-5</subfield></datafield><datafield tag="035" ind1=" " ind2=" "><subfield code="a">(OCoLC)1164611223</subfield></datafield><datafield tag="035" ind1=" " ind2=" "><subfield code="a">(DE-599)BVBBV046622058</subfield></datafield><datafield tag="040" ind1=" " ind2=" "><subfield code="a">DE-604</subfield><subfield code="b">ger</subfield><subfield code="e">rda</subfield></datafield><datafield tag="041" ind1="0" ind2=" "><subfield code="a">eng</subfield></datafield><datafield tag="049" ind1=" " ind2=" "><subfield code="a">DE-355</subfield><subfield code="a">DE-824</subfield><subfield code="a">DE-19</subfield><subfield code="a">DE-703</subfield><subfield code="a">DE-706</subfield><subfield code="a">DE-1102</subfield><subfield code="a">DE-N2</subfield><subfield code="a">DE-188</subfield></datafield><datafield tag="084" ind1=" " ind2=" "><subfield code="a">ST 320</subfield><subfield code="0">(DE-625)143657:</subfield><subfield code="2">rvk</subfield></datafield><datafield tag="084" ind1=" " ind2=" "><subfield code="a">ST 601</subfield><subfield code="0">(DE-625)143682:</subfield><subfield code="2">rvk</subfield></datafield><datafield tag="100" ind1="1" ind2=" "><subfield code="a">Sievert, Carson</subfield><subfield code="e">Verfasser</subfield><subfield code="0">(DE-588)120332944X</subfield><subfield code="4">aut</subfield></datafield><datafield tag="245" ind1="1" ind2="0"><subfield code="a">Interactive web-based data visualization with R, plotly, and shiny</subfield><subfield code="c">Carson Sievert</subfield></datafield><datafield tag="264" ind1=" " ind2="1"><subfield code="a">Boca Raton ; London ; New York</subfield><subfield code="b">CRC Press</subfield><subfield code="c">[2020]</subfield></datafield><datafield tag="300" ind1=" " ind2=" "><subfield code="a">xii, 436 Seiten</subfield><subfield code="b">Illustrationen, Diagramme, Karten</subfield></datafield><datafield tag="336" ind1=" " ind2=" "><subfield code="b">txt</subfield><subfield code="2">rdacontent</subfield></datafield><datafield tag="337" ind1=" " ind2=" "><subfield code="b">n</subfield><subfield code="2">rdamedia</subfield></datafield><datafield tag="338" ind1=" " ind2=" "><subfield code="b">nc</subfield><subfield code="2">rdacarrier</subfield></datafield><datafield tag="490" ind1="0" ind2=" "><subfield code="a">The R series</subfield></datafield><datafield tag="520" ind1="3" ind2=" "><subfield code="a">The 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.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.</subfield></datafield><datafield tag="650" ind1="0" ind2="7"><subfield code="a">Visualisierung</subfield><subfield code="0">(DE-588)4188417-6</subfield><subfield code="2">gnd</subfield><subfield code="9">rswk-swf</subfield></datafield><datafield tag="650" ind1="0" ind2="7"><subfield code="a">R</subfield><subfield code="g">Programm</subfield><subfield code="0">(DE-588)4705956-4</subfield><subfield code="2">gnd</subfield><subfield code="9">rswk-swf</subfield></datafield><datafield tag="689" ind1="0" ind2="0"><subfield code="a">Visualisierung</subfield><subfield code="0">(DE-588)4188417-6</subfield><subfield code="D">s</subfield></datafield><datafield tag="689" ind1="0" ind2="1"><subfield code="a">R</subfield><subfield code="g">Programm</subfield><subfield code="0">(DE-588)4705956-4</subfield><subfield code="D">s</subfield></datafield><datafield tag="689" ind1="0" ind2=" "><subfield code="5">DE-604</subfield></datafield><datafield tag="856" ind1="4" ind2="1"><subfield code="u">https://plotly-r.com</subfield><subfield code="z">kostenfrei</subfield><subfield code="3">Volltext</subfield></datafield><datafield tag="856" ind1="4" ind2="2"><subfield code="m">Digitalisierung UB Regensburg - ADAM Catalogue Enrichment</subfield><subfield code="q">application/pdf</subfield><subfield code="u">http://bvbr.bib-bvb.de:8991/F?func=service&doc_library=BVB01&local_base=BVB01&doc_number=032033756&sequence=000001&line_number=0001&func_code=DB_RECORDS&service_type=MEDIA</subfield><subfield code="3">Inhaltsverzeichnis</subfield></datafield><datafield tag="856" ind1="4" ind2="2"><subfield code="m">Digitalisierung UB Regensburg - ADAM Catalogue Enrichment</subfield><subfield code="q">application/pdf</subfield><subfield code="u">http://bvbr.bib-bvb.de:8991/F?func=service&doc_library=BVB01&local_base=BVB01&doc_number=032033756&sequence=000003&line_number=0002&func_code=DB_RECORDS&service_type=MEDIA</subfield><subfield code="3">Klappentext</subfield></datafield><datafield tag="999" ind1=" " ind2=" "><subfield code="a">oai:aleph.bib-bvb.de:BVB01-032033756</subfield></datafield></record></collection> |
| id | DE-604.BV046622058 |
| illustrated | Illustrated |
| index_date | 2024-07-03T14:08:26Z |
| indexdate | 2024-07-10T08:49:30Z |
| institution | BVB |
| isbn | 9781138331457 9781138331495 |
| language | English |
| oai_aleph_id | oai:aleph.bib-bvb.de:BVB01-032033756 |
| oclc_num | 1164611223 |
| open_access_boolean | 1 |
| owner | DE-355 DE-BY-UBR DE-824 DE-19 DE-BY-UBM DE-703 DE-706 DE-1102 DE-N2 DE-188 |
| owner_facet | DE-355 DE-BY-UBR DE-824 DE-19 DE-BY-UBM DE-703 DE-706 DE-1102 DE-N2 DE-188 |
| physical | xii, 436 Seiten Illustrationen, Diagramme, Karten |
| publishDate | 2020 |
| publishDateSearch | 2020 |
| publishDateSort | 2020 |
| publisher | CRC Press |
| record_format | marc |
| series2 | The R series |
| spelling | Sievert, Carson Verfasser (DE-588)120332944X aut Interactive web-based data visualization with R, plotly, and shiny Carson Sievert Boca Raton ; London ; New York CRC Press [2020] xii, 436 Seiten Illustrationen, Diagramme, Karten txt rdacontent n rdamedia nc rdacarrier The R series The 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.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. Visualisierung (DE-588)4188417-6 gnd rswk-swf R Programm (DE-588)4705956-4 gnd rswk-swf Visualisierung (DE-588)4188417-6 s R Programm (DE-588)4705956-4 s DE-604 https://plotly-r.com kostenfrei Volltext Digitalisierung UB Regensburg - ADAM Catalogue Enrichment application/pdf http://bvbr.bib-bvb.de:8991/F?func=service&doc_library=BVB01&local_base=BVB01&doc_number=032033756&sequence=000001&line_number=0001&func_code=DB_RECORDS&service_type=MEDIA Inhaltsverzeichnis Digitalisierung UB Regensburg - ADAM Catalogue Enrichment application/pdf http://bvbr.bib-bvb.de:8991/F?func=service&doc_library=BVB01&local_base=BVB01&doc_number=032033756&sequence=000003&line_number=0002&func_code=DB_RECORDS&service_type=MEDIA Klappentext |
| spellingShingle | Sievert, Carson Interactive web-based data visualization with R, plotly, and shiny Visualisierung (DE-588)4188417-6 gnd R Programm (DE-588)4705956-4 gnd |
| subject_GND | (DE-588)4188417-6 (DE-588)4705956-4 |
| title | Interactive web-based data visualization with R, plotly, and shiny |
| title_auth | Interactive web-based data visualization with R, plotly, and shiny |
| title_exact_search | Interactive web-based data visualization with R, plotly, and shiny |
| title_exact_search_txtP | Interactive web-based data visualization with R, plotly, and shiny |
| title_full | Interactive web-based data visualization with R, plotly, and shiny Carson Sievert |
| title_fullStr | Interactive web-based data visualization with R, plotly, and shiny Carson Sievert |
| title_full_unstemmed | Interactive web-based data visualization with R, plotly, and shiny Carson Sievert |
| title_short | Interactive web-based data visualization with R, plotly, and shiny |
| title_sort | interactive web based data visualization with r plotly and shiny |
| topic | Visualisierung (DE-588)4188417-6 gnd R Programm (DE-588)4705956-4 gnd |
| topic_facet | Visualisierung R Programm |
| url | https://plotly-r.com http://bvbr.bib-bvb.de:8991/F?func=service&doc_library=BVB01&local_base=BVB01&doc_number=032033756&sequence=000001&line_number=0001&func_code=DB_RECORDS&service_type=MEDIA http://bvbr.bib-bvb.de:8991/F?func=service&doc_library=BVB01&local_base=BVB01&doc_number=032033756&sequence=000003&line_number=0002&func_code=DB_RECORDS&service_type=MEDIA |
| work_keys_str_mv | AT sievertcarson interactivewebbaseddatavisualizationwithrplotlyandshiny |