Instructor: Tim Riffe

Session 1 (Monday)
1) Introduction to R and RStudio
2) Using the editor: main characteristics of RStudio, packages
3) Data handling: import/export data to/from R
4) Basic operations: assigning
5) Using functions

Session 2 (Tuesday)
1) Common data types
2) Data structures overview
3) Vectors and matrices
4) Data frames
5) Reshaping, sorting and grouping

Session 3 (Wednesday)
1) Descriptive statistics in R
2) Contingency tables
3) Introduction to R plotting

Session 4 (Thursday)
1) Conditional execution: the ‘if’ command
2) Introduction to for-loops
3) Writing your own functions in R

Session 5 (Friday)
1) The apply() family functions
2) Using loops and custom functions in base plotting
3) Saving plots
4) Review of module

Instructor: Ilya

Session 1 (Monday)
1) Basic dataviz principles
2) Impressive dataviz showcasess
3) Tidy approach to data
4) {ggplot2} basics

Session 2 (Tuesday)
1) More {ggplot2} geoms
2) Statistical evaluations on the fly with {ggplot2}
3) {ggthemes}
4) Population pyramids

Session 3 (Wednesday)
1) Dotplots — the most neglected and powerful type of dataviz
2) Colors in dataviz
3) Heatmaps
4) {ggtern} and {tricolore}

Session 4 (Thursday)
1) Ggplot extras
2) Interactive visualization, {plotly}
3) treemap plots
4) 3d plotting with {rgl}

Session 5 (Friday)
1) {sf} — the game changer in #rspatial
2) `geom_sf`
3) Mapping Europe with {eurostat}
4) Mapping the US with {tidycensus}

Instructor: Marie-Pier Bergeron-Boucher

Session 1 (Monday)
1) Basic demographic measures
2) The Lexis diagram
3) Rates, probabilities and proportions

Session 2 (Tuesday)
1) Life table
2) Life expectancy
3) The Human Mortality Database (HMD)

Session 3 (Wednesday)
1) Standardization of demographic measures
2) Rate decomposition (Kitagawa method)
3) Life expectancy decomposition (Arriaga method)

Session 4 (Thursday)
1) Population growth
2) Population models
3) The Leslie matrix

Session 5 (Friday)
1) Introduction to population forecast
2) The Lee-Carter model
3) Review of the module

Instructor: Juan Galeano

Session 1 (Monday)
1) Basic data manipulation using dplyr
2) %>% the pipe function
3) Group your data and summarise
4) Tidy your data
5) Plot your data: ggplot2

Session 2 (Tuesday)
1) Read shapefiles into R
2) General manipulation of spatial objects.
3) Univariate Class Intervals
4) Color palettes.
5) Thematic maps (I).

Session 3 (Wednesday)
1) Conversion between projection systems.
2) The ggmap package.
3) Thematic maps (II).

Session 4 (Thursday)
1) Spatial Statistics
2) Neighborhood Matrix.
3) Spatial autocorrelation: Global and Local Indicators of Spatial Autocorrelation (LISA).

Session 5 (Friday)
1) Plot Raster Data.
2) Web-mapping: Leaflet and ggiraph.
3) Animated maps: the gganimate library
4) Review of module.

ilya.kashnitsky@gmail.com
University of Southern Denmark, Odense, Denmark

Ilya Kashnitsky is a postdoctoral researcher at the Interdisciplinary Centre on Population Dynamics, University of Southern Denmark. He holds BA in Geography from Moscow State University, a master in Demography from National Research University Higher School of Economics and expects to obtain a PhD in Demography from University of Groningen. His research focuses on regional variations in population age structures across Europe, the demographic processes shaping them, their dynamics and possible implications for economies and societies. Ilya is an avid R user and advocate of open science, he runs a blog (ikashnitsky.github.io ) that is indexed in R-bloggers project.

mpbergeron@health.sdu.dk
University of Southern Denmark, Odense, Denmark

Marie-Pier Bergeron Boucher is a postdoctoral researcher at the Department of Public Health, University of Southern Denmark. She holds a master in Demography and a PhD in Public Health. Her main research interests include the study of human mortality, longevity and ageing, with a particular interest in developing new demographic methods to help understand and forecast population health and mortality dynamics in industrialized societies.

riffe@demogr.mpg.de
Max Planck Institute for Demographic Research, Rostock, Germany

Tim Riffe is a research scientist at the Max Planck Institute for Demographic Research. His theoretical work focuses on population renewal and temporal relationships over the life course. His empirical work uses original methodological approaches to study relationships between longevity and health in ageing populations, based on both administrative and survey data.

jgaleano@ced.uab.es
NCCR On the Move, Université de Gèneve

Juan Galeano is post-doctoral researcher at the University of Geneve. He holds a PhD in Demography from the Center for Demographic Studies (CED) and the Autonomous University of Barcelona (UAB). Master in Demography from the European Doctoral School of Demography (EDSD), Master in Territorial and Population Studies from CED and UAB, and BA in Sociology from the University of Barcelona (UB). His current research focuses on how life events influences international and internal migration in Switzerland and the construction of longitudinal demographic datasets from crossing administrative registers.