Dynamic data visualization, L. Rouvière
Presentation
1
Data visualization with ggplot2
1.1
Conventional Graphical Functions
1.1.1
The plot function
1.1.2
Interactive graphs with rAmCharts
1.1.3
Some exercises
1.2
Ggplot2 grammar
1.2.1
First charts with
ggplot2
1.2.2
Data et aesthetics
1.2.3
Geometrics
1.2.4
Statistics
1.2.5
Scales
1.2.6
Group and facets
1.3
Complements
1.4
Some exercises
2
Mapping with R
2.1
ggmap package
2.2
Maps with contours, shapefile format
2.2.1
Challenge 1: temperature map with sf
2.2.2
Finding background shapefile map
2.3
Dynamic maps with leaflet
2.3.1
Challenge 2: bike stations in Paris
2.3.2
Temperature map with leaflet
3
Dynamic visualization
3.1
Basic charts with
rAmCharts
and
plotly
3.2
Graphs to visualize networks with visNetwork
3.3
Dashboard
4
Shiny web applications
4.1
First app
4.2
Input - output
4.3
Organizing the application
4.4
Adding interactive charts
4.5
Reactive, isolation, observe, html, …
4.6
Some additional exercises
References
Published with bookdown
Tutorial: Dynamic data visualization with R
References