R – Visualisation

This interactive globe shows installed power for countries with largest wind energy installations. I will show you how to create the globe and add country-specific information.

We will learn to create a Sankey-diagram. With its help proportions and flow can be visualised. The thickness of lines directly represensts quantities. Complex relationships can be shown. More information can be found. Specifically it shows in which German federal state in which period since September 2014 how much new capacities of renewable energy is …

Sankey-Diagram: Wind Energy Installations in Germany in 2018 Read More »

Introduction In 1854 a Cholera epidemic haunts London. By then common theory is that Cholera is transmitted by air. English physician John Snow doubts this theory and is maybe the first one to perform geospatial analysis. He plot locations of Cholera-deaths and pumps and finds the causal link between water and Cholera. We will take …

Interactive Maps with leaflet Read More »

Heatmaps are a visually appealing way to present information in three dimensions. In this tutorial I will show you three different packages for heatmap creation. I will also present how data has to be formatted for each heatmap function.

ggplot2 is a plotting environment and delivers very appealing graphs, has compact and good-readable code and is easy to learn. It only takes small changes to get complex visualisations. To me it is by far the best plotting environment in R.

We will directly download precious metal price data to R with quantmod package and create a dynamic plot with dygraphs.