INTERACTIVE GRAPHICS WITH SHINY

Date:

30/03/2017

Organised by:

Jumping Rivers ltd

Presenter:

Dr Colin Gillespie/Dr Jamie Owen

Level:

Intermediate (some prior knowledge)

Contact:

Esther Gillespie, esther@jumpingrivers.com, 07740285328

Map:

View in Google Maps  (WC1E 7HU)

Venue:

University of London, Senate House, University of London, Malet St, London WC1E 7HU

Description:

LONDON at London University Senate House

Shiny is an R package that allows you do create cutting edge, interactive web-graphics. Regardless of your background, Shiny will enable you to present your data in new and innovative ways. From the Shiny documentation 'Shiny makes it incredibly easy to build interactive web applications with R. Automatic 'reactive' binding between inputs and outputs and extensive pre-built widgets make it possible to build beautiful, responsive, and powerful applications with minimal effort.'

This course is based on workshop run by Garret Grolemund (RStudio) and Colin Gillespie (Newcastle University) atStrata 2015.

PREREQUISITES

Partipants should have completed the Automated reporting R course, which covers the fundamentals of markdown and knitr.

COURSE OUTLINE:

  • Widgets: HTML widgets
  • Introduction to Shiny and html: Introduciton to the server and ui files
  • Building and deploying apps
  • Reactive programming: Creating dynamic graphics.

COURSE STRUCTURE

This course will consist of short lectures, followed by short practical sessions. This course will be structured as follows:

  • 9:00 – 9:30: Registration and coffee
  • 9:30 – 10:45: Lecture and practical
  • 10:45 – 11:00 Coffee
  • 11:00 – 12:30: Lecture and practical
  • 12:30 – 1:30: Lunch
  • 1:30 – 2:30: Lecture and practical
  • 2:30 – 2:50 Coffee
  • 2:50 – 4:30 Lecture and practical

These times are intended to give a flavour of how the course is run and are subject to change.

Cost:

£450 + Vat (25% discount to academics & charity)

Website and registration:

Region:

Greater London

Keywords:

Secondary Analysis, Digital Social Research, Mixed Methods, Data Collection (other), Qualitative Data Handling and Data Analysis, Quantitative Data Handling and Data Analysis, Statistical Theory and Methods of Inference, Mixed Methods Data Handling and Data Analysis, ICT and Software, R, Data Visualisation, Creating graphs and charts, Interactive data visualisation, Workshops, Training research methods teachers

Related publications and presentations:

Secondary Analysis
Digital Social Research
Mixed Methods
Data Collection (other)
Qualitative Data Handling and Data Analysis
Quantitative Data Handling and Data Analysis
Statistical Theory and Methods of Inference
Mixed Methods Data Handling and Data Analysis
ICT and Software
R
Data Visualisation
Creating graphs and charts
Interactive data visualisation
Workshops
Training research methods teachers

Back to archive...