EAA Web Session "Introduction to Effective Visuals with ggplot2" on 8 March 2022 - 10:00-12:00 CET - Interview with our speaker Claudio Rebelo

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­ Please note that the early-bird discount will expire on 25 January 2022!  
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­ Claudio, why is data visualization such a hot topic these days?
Because, data, computing power and open-source software has never been so readily available as today.
Nowadays, one of the most requested skills in an actuarial job ad is programming - mostly in R or Python, which almost always includes effective visualizations.
This is understandable, since actuaries need to be able to clearly explain complex technical information.
Even the general public is now exposed to state-of-the-art visuals, partly driven by the pandemic.
We have all seen Covid-19 heat-maps, trajectory charts and interactive plots.
Although, it is a must have skill for any actuary - it is hardly ever covered during a University degree or included in the Syllabus of most (if not all) Actuarial Professional Bodies.

Who is the target audience and what can they expect from this web session?
The web session is mainly aimed at beginners, some very basic familiarity with R is required but I assume no prior knowledge of ggplot2.
The session serves two main goals:
  1. How to prepare data and produce charts with ggplot2
  2. Share basic principles of effective visualizations
It is a hand-on training with real life examples and exercises.
All scripts will be provided and are fully reproducible so that participants can recreate all plots and study the code even the after session.
I will also share my favorite free online resources so that participants can continue to develop their skills.

Why should actuaries learn ggplot2 when most already produce charts with Excel?
Because R is capable of much more than Excel:
  • R handles much more data, even if you use Excel's Data Model
  • It is much faster
  • R is designed to be fully reproducible
  • Statistical/ML routines can generate plots with minimum effort
  • And R has access to a wide variety of libraries
For example, the plot below (which will be part of the web session) is fully interactive.
It is designed with ggplot2 and wrapped with the function ggplotly() (from the plotly library), which converts, with a couple of lines, any ggplot into an interactive chart.
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