2nd edition outline

[cpsievert]

Why interactive data visualization?

• Data science workflow
• Interactivity augments exploration
  • Some historical context and examples (https://talks.cpsievert.me/20180202/#7)
  • "Interactive graphics enable the analyst to pursue follow-up questions" -- Cook & Swayne, GGobi book, p15
  • A case study of US election data
• GUI and command-line - conflict or synergy?
  • https://talks.cpsievert.me/20180305/#12
• Web-based visualization
  • New capabilites (e.g. easy sharing, portability) brings new set of concerns (e.g., client-server, security, etc)
  • Great tools for expository vis (d3.js, vega, plotly.js)
  • Lack of tools for exploratory vis (i.e. tools for iteration)

The plotly for R ecosystem

• plotly is a FOSS tool built with plotly.js and htmlwidgets
• Plotly's cloud services
  • collaboration, point-and-click editing & collaboration
• Getting started (installation, etc)
• Two approaches, one object

The ggplotly() toolbox

• Makes some plots easier to acheive (e.g., geom_hex(), geom_smooth(), etc)
• Caveats and limitations
• Learn plotly.js via ggplotly()

The plot_ly() toolbox

• Scatter traces
• Maps
• Bars & histograms
• 2D frequencies
• Raster images
• 3D graphics

Animating views

• Key frame animations
• Linking animated views

Arranging multiple views

• Arranging htmlwidgets
• Merging plotly objects
• Navigating many views

Multiple linked views

• Linking views with shiny
• Linking views without shiny

Exporting views

• Saving local HTML files
• Embedding local HTML files (i.e., iframe, widgetFrame, etc)
• Using orca() to export to various file formats
• Using config(p, editable = T) to manually edit charts
• Exporting manually edited charts
  • Should this just leverage config(p, toImageOptions = ...)? Or provide a way to get at the underlying JSON?

Performance considerations

• What's in a plotly object?
• What happens at print-time?
• Build-time versus render time
• Build time
  • profvis
• Render time
  • SVG vs Web-GL rendering
  • Data summary/simplification

Custom JavaScript

• Motivate through examples
  • Opening hyperlinks
  • Adding annotations in response to direct manipulation

Other ideas

• Interactive annotations via https://github.com/plotly/react-chart-editor (would require a proper wrapper)
• Manipulating widgets with https://github.com/rte-antares-rpackage/manipulateWidget

Advanced case studies

• storm paths -- https://vimeo.com/257149623
• https://github.com/cpsievert/pedestrians
• https://github.com/cpsievert/zikar
• https://github.com/cpsievert/eechidna
• https://github.com/cpsievert/accidents

plotly extension packages

• Hmisc, heatmaply, TSstudio, autoplotly