Interactive web-based data visualization with R, plotly, and shiny / by Carson Sievert.

Author/creator Sievert, Carson
Format Electronic
Publication InfoBoca Raton, FL : CRC Press, Taylor and Francis Group, [2020]
Descriptionpages cm
Supplemental ContentFull text available from Taylor & Francis eBooks
Subjects

Contents Scattered foundations -- Maps -- Bars & histograms -- Boxplots -- 2D frequencies -- 3D charts -- Saving and embedding HTML -- Exporting static images -- Editing views for publishing -- Arranging views -- Animating views -- Client-side linking -- Server-side linking with shiny -- Working with JSON -- Adding custom event handlers -- Supplying custom data -- Leveraging web technologies from R -- Is plotly free & secure? -- Improving performance -- Controlling tooltips -- Control the modebar -- Working with colors -- Working with symbols and glyphs -- Embedding images -- Language support -- LaTeX rendering -- The data-plot-pipeline -- Improving ggplotly() -- Translating custom ggplot2 geoms.
Abstract "This book describes interactive data visualization using the R package plotly. It focuses on tools and techniques that data analysts should find useful for asking follow-up questions from their data using interactive web graphics. A basic understanding of R is assumed"-- Provided by publisher.
Bibliography noteIncludes bibliographical references and index.
Access restrictionAvailable only to authorized users.
Technical detailsMode of access: World Wide Web
Genre/formElectronic books.
LCCN 2019046859
ISBN9781138331495 (hardback)
ISBN9781138331457 (paperback)
ISBN(ebook)