Hands-on Tutorials

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When values should have been reported but were not available, we end up with missing values. In real-life data, missing values occur almost automatically — like a shadow nobody really can get rid of. Think of nonresponse in surveys, technical issues during data collection or joining data from different sources…

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Have you ever heard somebody say that a study revealed „significant results“? What does that even mean? Let me introduce you to a practice in the scientific industry that is deeply debated and still used to answer research questions. Simply put, it roughly goes like this: If you run a…

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As soon as the same individuals — or things — get measured more than once, we deal with repeated measures data, a scenario that is very common in data science and experimental research. In these cases, you have the chance to estimate the degree to which individual differences account for…

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There is a huge variety of possible graphs to choose from for data visualization (R Graph Gallery). It paves the way to visualize all imaginable data in a breath-taking way — but also bears the risk of forgetting the bigger picture too quickly. This is what probably happened to me…

Hands-on Tutorials

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If you use machine learning models in R, you probably use either caret or tidymodels. Interestingly, both packages were developed by the same author among many others: Max Kuhn. But how do they compare to each other in terms of feasibility and performance?

You may wonder which package you should…

Hands-on Tutorials

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People are the key factors for success to every organization — nothing else produces such a big value like skilled minds in the right time and place. This is why organizations all over the world make tremendous efforts to find and — maybe even more importantly — to maintain valuable…

Making Sense of Big Data

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R is built for smart statistical data analysis and requires us to write very little code — compared to other programming languages such as C or Python. However, it appears to be a bit slow from time to time. As some of us work with large and complex datasets, computational…

Hannah Roos

psychologist and consultant with a passion for data science. Support the deepwork: https://medium.com/@hannahroos/membership

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