The Centre on Population Dynamics and the Centre for Social and Cultural Data Science are hosting:
WHAT? Three-day, hands-on, interactive training workshop on data visualization in R
- Training topics: Data visualization basics, making plots, working with grouped data, geoms and models, and drawing maps
- Lunch lecture: Data visualization and the UN Data revolution
- Panel discussion: The Good, the Bad and the Ugly of data visualization for population research
- Hack-a-thon/Dragon’s Den feedback session on select data visualizations (Optional)
- Expert perspectives: McGill population research and computer science researchers and professionals from Statistics Canada, McGill Media Relations and McGill Graphic Design .
- Multidisciplinary participants from social science and health population research fields
- Multiple networking opportunities
INSTRUCTOR: Our instructor is Kieran Healy, Ph.D., Associate Professor in Sociology at Duke University. Healy received his Ph.D. from Princeton University, where he won the American Sociological Association's Dissertation Award. At Duke, he teaches courses in data visualisation and data management. A highly-rated teacher and an effective presenter, Healy has written extensively on data visualisation and data management for public audiences, and has had his visual work featured by The Washington Post, Vox, The Rachel Maddow Show, Slate, Bloomberg News, the Boston Globe, and other outlets.
See also his 2014 article in the Annual Review of Sociology (40(1): 105-128) Data Visualization in Sociology or his free book Data Visualization for Social Science: A practical introduction with R and ggplot2.
WHEN? December 13-15, 2017 (Wed and Thurs 9am-7pm, Friday, 9am to 4pm)
WHERE? Room 210-11, McGill McIntyre Medical Building (3655 promenade Sir William Osler)
WHO SHOULD ATTEND? Anyone interested in learning how to produce and present effective visualizations from population research, data, or models
REGISTRATION & COST: Free! but space is limited
TRAVEL & ACCOMMODATION: A limited amount of funds are available for students from outside of Montreal to cover travel and accommodation expenses. Please indicate your need upon registration.
PREREQUISITES: An introduction to R course*
*If you have no experience yet with R, the following options are available between now and December 13th
- There are three, free on-line options: "Try R" - Code School, Introduction to R - DataCamp and Learn R in R - Swirl all provide free Introduction to R courses (approx. 4 hours) (Details will be emailed to you with registration confirmation);
- We will provide a free, three-hour Intro to R course taught by Tim Elrick on WEDNESDAY, December 6th, 6-9pm, room 511, Burnside Hall, McGill University (More details will be emailed to you with registration confirmation).
INFORMATION ON DATA VISUALIZATION: Please see our new data visualization resource page HERE
TO REGISTER: Registration is now closed.
QUESTIONS?: Email Heidi Hoernig
- Centre on Population Dynamics, McGill University
- Centre for Social and Cultural Data Science, McGill University
- Centre for the Study of Democratic Citizenship (CSDC)/ Centre pour l'étude de la citoyenneté démocratique (CÉCD)
- Départment de démographie, Université de Montréal
- Department of Epidemiology, Biostatistics, and Occupational Health, McGill University
- Groupe de recherche sur le capital humain de l'ESG UQAM/ Research Group on Human Capital of UQAM's School of Management
- Institute for Health and Social Policy (IHSP), McGill University
- Institute for the Study of International Development (ISID), McGill University
- McGill Observatory on Health and Social Services Reform
- McGill Office of the Vice-Principal (Research and Innovation)
- Quebec inter-University Centre for Social Statistics (QICSS)
- Social Sciences and Humanities Research Council of Canada
- Statistics Canada