A threefold meetup: some information about the upcoming "Why R?" Conference (Poland, July), map visualizations with ggplot, and thirdly, making R useful in a production setting with Azure Databricks and R Suite.
2. Piotr Sobczyk: Maps with ggplot - Making visualisation great (again)
One good plot is worth more than 1000 words. If you don't want to bore everybody with yet another bar plot, then an idea for creating more engaging visualisations is using maps (more precise name is choropleth). But how to do this?
I will focus on ggplot, which allows for amazing plot customization, but requires some nontrivial preprocessing. In my talk I will give you all the info you need to get started. You can also count on some pro-tips that might be useful for experienced mappeRs.
3. Wit Jakuczun: Optimizing workforce tariffs with R - Scalable R with Azure Databricks and R Suite
Our customer wanted to recalculate tariffs for their workforce. It turned out to be an optimization problem that could be solved with Mixed-Integer Programming methodology. The tricky part was that input data was large and processing it on a laptop was not feasible. The customer said we must use only Azure Databricks (https://azure.microsoft.com/en-gb/services/databricks/). I will present how R Suite (http://rsuite.io/) helped us to prepare solution for this business problem.
Piotr Sobczyk is a data scientist, currently working at Naspers in Berlin.
He works on finding and exploiting complex patterns in the data. Apart from professional duties, he is involved in popularization of statistics, being a cofounder of R Users Group in Wroclaw (Poland) and running a popular polish blog on data analysis.
Wit Jakuczun is the founder and co-owner of the consulting company WLOG Solutions, which is a strategic partner in the implementation of large-scale analytical solutions based on the environment R. In the company he is responsible for translating clients' business needs into mathematics. He has led projects for many industries: banking, energy, gas, marketing, logistics, pharmacy, retail, telecommunications, insurance. As part of these projects, he has created and implemented large-scale solutions in the R (and not only) environment using prediction, optimization and simulation models.