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This meetup is hosted by the Statistical Office of the Canton of Zurich
Intro: R: One tool to rule them all
Peter Moser, Statistical Office
Talk 1: Read and process unstructured data with R
Max Grütter, Statistical Office
Sometimes we need data that is not available as a neat table. Using the example of raw data in a large number of pdf files we show a way to collect, clean up and process unstructured data with R.
Talk 2: Mastering Corporate Design with R
Andrea Schnell and Thomas Lo Russo, Statistical Office
We are the official source of statistical information about the Canton of Zurich. It is essential that our publications and data-products are visually associated with our organization. We've built a variety of R-functions that allow us to generate ready-to-publish plots, pdf-reports and XLSX tables which are in line with our CD guidelines.
Talk 3: Illustration of pupils' diversity with R
Flavian Imlig, Zurich State Department of Education
The diversity in kindergarten classes in the canton of Zurich varies widely between different regions of the canton. In order to give a comprehensive picture of in-class diversity and the regional differences, nationalities and first language of children are transformed into typical class compositions. The result is a collection of mosaic plots of very homogenous and very heterogeneous regions. We will discuss the implementation of the data-transformation as well as the plots in this talk.
Talk 4: Making Public Data Public
Christoph Sax, Christoph Sax Data Analytics http://www.christophsax.com/
www.dataseries.org (http://www.dataseries.org/) is a data website that automatically collects, visualizes and distributes a wide range of public data. In this talk, I will show how my experiences with R in public data production led to an attempt to collect Swiss data series in a single place.