Data visualization skills are essential to analyse large amounts of information and make data-driven decisions. There is not an insurance professional that doesn’t benefit from making data more understandable.

In this session, you will learn how to create elegant and effective visuals with the R package: ggplot2.

While R provides several systems to produce graphs, ggplot2 is the most flexible and elegant graphical framework available.

Many examples specific to insurance will be provided so that you can apply the concepts to your own work as effortlessly as possible.

In addition to ggplot2 syntax, you will learn fundamental principles of what constitutes an effective visual.

We ask you to have RStudio installed as well as 'tidyverse' package attached in your session so you are able to solve the exercise that will be provided.

Organised by the EAA – European Actuarial Academy GmbH.

Anyone interested in gaining a basic working knowledge of ggplot2 to produce highly impactful plots.

While, no prior knowledge of ggplot2 is required - it is recommended that those new to R complete at least an R Introductory course. It is also recommended that participants are familiar with the data transformation libraries dplyr and tidyr – however, a quick overview of these will be given.

Technical Requirements
Please check with your IT department if your firewall and computer settings support web session participation (the programme Zoom is used for this online training). Please also make sure that you are joining the web session with a stable internet connection.

In this web session, you will learn the basics of ggplot2 to effectively communicate complex data that far exceeds the capabilities of Excel.

Since a 2h session cannot be comprehensive for such a rich feature package further reading materials, that are freely available online, will be provided.

The language of the web session will be English.

Claudio Rebelo
Claudio Rebelo is an Actuary at Swiss Re in Zurich, Switzerland, where he has worked in reserving, pricing and currently model validation, having over 12 years of experience in the insurance industry. With a keen interest in insurance data visualization he is also involved, at Swiss Re, in the implementation of automated reporting solutions with R Markdown.