Turning your data into insights

My name is Ger Inberg, a Dutch data scientist with a background in software engineering.

I work remotely as a freelance data scientist. Getting insights out of data is something that I really like. Data visualization and machine learning are some techniques that I am using to achieve this.
I am a big open source believer since I think with sharing solutions we can achieve a lot more as a community. Therefore I prefer to use R and python for my daily work.

I have a passion for (endurance) sports and healthy living and I would love to help you out if you have a project in those areas!
On my website you can find some examples of my projects, most of them are links to a website or interactive visualization.

Have fun in browsing through the content and thank you for visiting!


My Electricity Balance

Since the beginning of this year I have solar panels on the roof of my house. The electricity these are producing should be more than enough than I am currently using. I bought a bit more solar panels since I expect to have an electric […]

eRum lightning talk speaker

This week, the European R Users Meeting (ERUM) is happening. It’s a biennial conference that brings the R User Community together and this year it would be held in Milan. I am excited to give a lightning talk about “Reproducible Data Visualization with CanvasXpress”!

Praetorian Covid flexdashboard

Praetorian Covid is a clinical trial that is executed in the fight against covid-19. As you probably heard, there are many trials going on at this moment. On this clinical trials website you can find them. Praetorian Covid is executed by the Radboud University of […]

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Data visualization

A picture says more than a thousand words..but what exactly do you want to visualize?
I have seen a lot of examples of very good bus also very bad visualizations. For example a pie chart with more than 3 or 4 categories is not readable in my opinion. Because people are better at comparing lengths than areas, a bar chart is a better choice in many cases. I am using rainbow colors only occasionally since there is no “greater than”¬†ordering in colors so it’s hard for a human to compare quantitative data. Until now I have used R/shiny, D3js, plotly, QlikView and Tableau for my data visualizations with most experience in the first 2.

Machine learning

Need to make predictions based on historical data? Or want to explore your data for certain patterns?

Machine learning is a discipline that can be applied to a lot of domains. IBM Watson changes the world of healthcare by applying machine learning. Many companies are working on self driving cars, which are all based on some sort of machine learning.

I have experience with supervised, unsupervised and reinforcement learning. In recent projects I have for example predicted nitrate level from image analysis and I have build a fraud detection algorithm based upon historical transactions.

Remote training

Are you interested in visualizing your data yourself? Do you want to start with R programming?

I offer remote training for a variety of topics related to R. In only a half day, you can be up and running with R and start with analyzing your data.

Topics for beginners include: introduction to R/RStudio, Git, RMarkdown, and Shiny. Please contact me in case of specific training needs.


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