• A framework for making R output interactive
• An 'app' development framework
• A (small) growing community of developers centred around RStudio

Similar projects you should be aware of before diving into Shiny

• animate package
• Google Charts (googleVis::)
• plotly
• D3

Build's on R's existing strengths

• Data visualisation (Wickham 2011)
• Increasingline widely understood language for querying data
• Amazing range of add-on packages

Flexibility

• House of Commons Criticising the DfT for using closed models
• 'Impact' and 'engagement' increasingly important for research funding
• Complex data cannot be adequately summarised in a single static graphic
• We've been contracted by the DfT (£100,000+) to create a 'propensity to cycle' tool

• AURIN
• Leeds-Bradford cycle path interactive map
• DECC's 'Energy 2050' planning tool
• Walkability index site
• Interactive download of bicycle paths

• We'll take a look at a few online
• Precision farming (Jahanshiri and Shariff 2014)
• Ebola app
• Census wards app
• RentSplit
• No transport-related apps!

• Time tabling
• Visualising flow data by mode/purpose/time
• User engagement (e.g. of different scenarios)
• Forms for questionnaires
• Public outreach

The user interface (ui.R)

shinyUI(fluidPage(
))

The server side (server.R)

shinyUI(fluidPage(
))

See https://github.com/Robinlovelace/learning-shiny

• Task 1: Modify RStudio's '01_hello' example
• Task 2: Recreate rentSplit
• Task 3: Create your own app!