Working efficiently with R – faster to the data product

August 25, 2016

(This article was first published on eoda english R news, and kindly contributed to R-bloggers)

Speaker of the [R] Kenntnis-Tage 2016: Julian Gimbel | Lufthansa Industry Solutions

Julian Gimbel works as a data scientist at Lufthansa Industry Solutions. The company supports customers in digitalizing and automating their processes in order to increase their turnover and efficiency while simultaneously reducing their costs.

[R] Kenntnis-Tage 2016 | 2.11-3.11 | Kassel - Germany
[R] Kenntnis-Tage 2016 | 2.11-3.11 | Kassel – Germany

In his guest lecture working efficiently with R – faster to the data product, Julian Gimbel will show the comprehensive possibilities to turn analysis results into a data product using visualizing technologies such as Slidify or Shiny. In this way, the laborious preparation of the results for the management can be integrated into the workflow. Based on a classic example from the airline industry, i.e. a forecast of the arrival punctuality of an aircraft, it will be demonstrated how development cycles can be accelerated with a fully integrated programming environment. With R Studio and the package Shiny for interactive graphical user interfaces, a complete development environment for R applications will be presented.

On you will find the agenda and further information as well as the registration form for the [R] Kenntnis-Tage 2016.

To leave a comment for the author, please follow the link and comment on their blog: eoda english R news. offers daily e-mail updates about R news and tutorials on topics such as: Data science, Big Data, R jobs, visualization (ggplot2, Boxplots, maps, animation), programming (RStudio, Sweave, LaTeX, SQL, Eclipse, git, hadoop, Web Scraping) statistics (regression, PCA, time series, trading) and more...

If you got this far, why not subscribe for updates from the site? Choose your flavor: e-mail, twitter, RSS, or facebook...

Comments are closed.

Search R-bloggers


Never miss an update!
Subscribe to R-bloggers to receive
e-mails with the latest R posts.
(You will not see this message again.)

Click here to close (This popup will not appear again)