The data science blog by eoda

The data analysis blog from the data science specialist: Here you can learn more about data science in a business context, technology trends, the use of the data science languages R and Python, and much more.

Our blog-posts

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Shiny-App – Best practice: Inline Documentation

Shiny App – Best practice: Inline Documentation If you are thinking: “I already know that”, these posts might be something for you as it is intended for users with pre-existing knowledge in R and Shiny. However, it assumes that you are already familiar with writing code in R, know the most widely used packages and […]

Tidyverse Blog preview

10 Tidyverse functions that might save your day

In this blog post, we will present 10 Tidyverse functions that are often overlooked by beginners but have proven to be very useful in the right context. We will first describe a problem that we faced in practice in a similar form and then explain how Tidyverse helps us to solve this problem.

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It’s official – Santa Claus is Data Scientist

Die Familie hat sich versammelt, besinnliche Musik erklingt und die Kinderaugen strahlen mit dem beleuchteten Baum um die Wette. Es ist Heiligabend und der große Auftritt des Weihnachtsmanns steht kurz…

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Automating AWS Organizations with Terraform

Automating AWS Organizations with Terraform n this part we will implement a real-world scenario: We will configure our AWS account in a way that allows multiple teams to access a wide variety of AWS services, but still isolate their resources from another. Terraform allows us to automate this process, so we will be able to […]

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Shiny: Performance Tuning with future & promises – The practice

Shiny: Performance Tuning with future & promises The practice Let’s talk The second part of our blog series on Shiny dealt with the optimization within Shiny applications. We looked at the theoretical part on how Shiny and the packages future & promises work. In the context of these two packages it was presented how they […]

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Shiny: Performance Tuning with future & promises – Theoretical

Shiny: Performance-Tuning mit future & promises Theoretical In our previous article about Shiny we shared our experiences with load testing and horizontal scaling of apps. We showed the design of a process from a proof of concept to a company-wide application. Let’s talk The second part of the blog series focuses on the R packages […]

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Shiny: Load testing and horizontal scaling

Shiny: Load testing and horizontal scaling “Money can’t buy you happiness, but it can buy you more EC2 Instances…” – With this quote Sean Lopp, Product Manager at RStudio, PBC, rang in his “Scaling Shiny” showcase. In this showcase, he uses a load-testing approach to show how a Shiny application can be scaled for 10,000 […]

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Is Santa Claus predictable?

Two years ago, we revealed something sensational: Santa Claus is a data scientist. The secret of his success does not lay in his hundred years of experience as a gift…

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Dear data scientists, how to make your work even more valuable

In our previous article we have showed you how you can make your daily work easier with the right solution. The optimal support of different data science languages, a scalable…

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Dear data scientists, how to ease your job

You have got the best job of the 21st century. Like a treasure hunter, looking for a data treasure chest while sailing through data lakes. In many companies you are…

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