AUTOMATED REPORTING (FIRST STEPS TOWARDS SHINY)

Date:

29/03/2017

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 University of London Senate House - 

 

Do you want to create interactive documents? Do you want your reports to automatically update when the data changes? Then this course is for you!

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

PREREQUISITE

It is expected that partipants are already familar with R. In particular, they should be familar with basic data manipulations, functions, if statements and for loops. These concepts are covered in the Introduction to R andProgramming courses.

COURSE OUTLINE:

  • Rmarkdown Creating documents using Markdown
  • knitr Running dynamic R code
  • Widgets: HTML widgets
  • Building and deploying apps Via the web and dropbox
  • Latex A brief introduction to latex for additional styling

This event is also being hosted at DataFest. It is a festival of data innovation with events hosted across Scotland from 20th to 24th March 2017. Scotland is a melting pot of data innovation and the festival will further catalyse activity across the country and showcase Scotland’s leading role in data on the international stage.

The Data Lab is an innovation centre focused on generating significant economic, social and scientific value from data for Scotland. The Data Lab facilitates and enables industry, public sector and academia to innovate and develop new data science capabilities in a collaborative environment. It provides resources to kick-start projects, deliver skills through education programmes, and help to develop the local ecosystem by building a cohesive data science community.

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

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