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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.
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.
Carson Sievert is the author and maintainer of the plotly R package, a recipient of the American Statistical Association's 2017 John Chambers award, and Program Chair of the Section on Statistical Graphics. After receiving a PhD in statistics from Iowa State, Carson joined RStudio as a software engineer to work on software that bridges R and web technologies such as shiny, plotly, and rmarkdown.
1. Why interactive data visualization? 2. The plotly for R ecosystem. 3. The plot_ly() toolbox. 4. Plotly extension packages.
| Erscheinungsjahr: | 2020 |
|---|---|
| Fachbereich: | Wahrscheinlichkeitstheorie |
| Genre: | Importe, Mathematik |
| Rubrik: | Naturwissenschaften & Technik |
| Medium: | Taschenbuch |
| Inhalt: | Einband - flex.(Paperback) |
| ISBN-13: | 9781138331457 |
| ISBN-10: | 1138331457 |
| Sprache: | Englisch |
| Einband: | Kartoniert / Broschiert |
| Autor: | Sievert, Carson |
| Hersteller: | CRC Press |
| Verantwortliche Person für die EU: | preigu, Ansas Meyer, Lengericher Landstr. 19, D-49078 Osnabrück, mail@preigu.de |
| Maße: | 233 x 154 x 24 mm |
| Von/Mit: | Carson Sievert |
| Erscheinungsdatum: | 21.01.2020 |
| Gewicht: | 0,734 kg |
Carson Sievert is the author and maintainer of the plotly R package, a recipient of the American Statistical Association's 2017 John Chambers award, and Program Chair of the Section on Statistical Graphics. After receiving a PhD in statistics from Iowa State, Carson joined RStudio as a software engineer to work on software that bridges R and web technologies such as shiny, plotly, and rmarkdown.
1. Why interactive data visualization? 2. The plotly for R ecosystem. 3. The plot_ly() toolbox. 4. Plotly extension packages.
| Erscheinungsjahr: | 2020 |
|---|---|
| Fachbereich: | Wahrscheinlichkeitstheorie |
| Genre: | Importe, Mathematik |
| Rubrik: | Naturwissenschaften & Technik |
| Medium: | Taschenbuch |
| Inhalt: | Einband - flex.(Paperback) |
| ISBN-13: | 9781138331457 |
| ISBN-10: | 1138331457 |
| Sprache: | Englisch |
| Einband: | Kartoniert / Broschiert |
| Autor: | Sievert, Carson |
| Hersteller: | CRC Press |
| Verantwortliche Person für die EU: | preigu, Ansas Meyer, Lengericher Landstr. 19, D-49078 Osnabrück, mail@preigu.de |
| Maße: | 233 x 154 x 24 mm |
| Von/Mit: | Carson Sievert |
| Erscheinungsdatum: | 21.01.2020 |
| Gewicht: | 0,734 kg |
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