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Sankey-Diagram: Wind Energy Installations in Germany in 2018

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 …

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Creating Heatmaps in R

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 Introduction

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.

Monte Carlo Simulation, explained based on Buffons Needle Problem

Monte Carlo simulation is a stochastic method, in which a large number of random experiments is performed. This is helpful, especially if there is no analytical solution to a problem. I will present “Buffon’s needle” problem. The idea is to throw a needle on a grid with horizontal lines. The probability of a needle intersecting …

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Introduction to Association Rules

We will perform a Market Basket Analysis (also called Association Rules). This techniques shows which items occur together, like “users who bought X, also bought Y and Z”. We will use this method to find out, which properties are important to conclude that a mushroom is edible.

Introduction to H2O

H2O is an open source platform for machine learning. It can be installed locally. It offers API access to R. This lecture will give you an introduction on how to use it. Objectives: Installation and Usage of H2O Requirements: R Data-Mining

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