R Integration and Real-World Problem solving

We are looking forward to the September edition of the Zurich R User Meetup, sponsored by Impact Hub Zurich and cynkra.

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06.15 pm Doors open

06.30 pm Introduction

06.40 pm Talks (see below)

ca 07.45 Take the Stage: Pitching job ads, ideas, events, ...

ca 08.00 - 09.30 pm Apéro

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Kirill Müller, cynkra

*duckplyr: Tight Integration of duckdb with R and the tidyverse*

duckdb is an analytical database system that works great with R and Python and other host systems. dplyr is the grammar of data manipulation in the tidyverse, tightly integrated with R, but it works best for small or medium-sized data. The former has been designed with large or big data in mind, but currently, you need to formulate your queries in SQL. The new duckplyr package offers the best of both worlds. It transforms a dplyr pipe into a query object that duckdb can execute, using an optimized query plan. It is better than dbplyr because the interface is "data frames in, data frames out", and no SQL code is generated. The talk presents our first results, a bit of the mechanics, and an outlook for this ambitious project.

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Luisa Barbanti and Matteo Tanadini, Zürich Data Scientists

*The best bottle is just one (or two) GAMMs away*

How to tackle a real-world problem through a pragmatic yet technical approach?

Let us take you on a walk through one of the projects we recently worked on and gain insights into how we use data visualisation and model selection to answer a specific question.