Introduction to shiny and plotly in R
Statistical short course by Leuven Statistics Research Centre
Praktische info:
Inschrijven?
- Inschrijvingen: tot 29 apr. 2022
- Voorwaarden: Kennis van R
- Prijs: KU Leuven studenten €50; KU Leuven medewerkers en andere studenten €80; Non profit/sociale sector €125; Privésector €300
georganiseerd door:
Leertraject
R is a powerful tool for exploring, visualizing, analyzing and modeling data. Furthermore, R is constantly developed and reacts to the emerging trends in data analytics. In this course we will see how R can be used to create web applications with interactive graphics and on-the-fly computations. With shiny package, creating web interface for R calculations is available to everyone. Shiny app enhanced by plotly visualizations provides a fully featured modern way of presenting and analyzing data.
The course will cover the principles of shiny and plotly packages in R. Participants will learn the concepts by designing and creating examples of web applications.
- General content
- Shiny background
- Web app building blocks
- Reactivity of components
- Visualizations with plotly
- Plotly syntax
- Chart types and interactions
Lesgever/spreker
Dominik Sznajder
Dominik Sznajder obtained a master degree in Economics and in Mathematics at Warsaw University in 2007. Thereafter he completed a PhD programme at KU Leuven in the section of Mathematical Statistics in 2011. Dominik was a visiting lecturer at UGent in 2013 and an FWO post-doctoral researcher before transferring to business. He worked as an actuarial consultant with Milliman supporting insurance companies in the Benelux region. Currently he is a freelance Data Scientist, Actuarial & Financial Modeler, while also doing research at KU Leuven. Dominik has over 10 years of experience in using R, when he developed R based solutions both in Business and Academia.
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