Joachim Schork (@JoachimSchork) / X

Joachim Schork

8,905 posts

Joachim Schork

@JoachimSchork

Data Science Education & Consulting

Germany

Joined August 2018

Pinned
Joachim Schork
@JoachimSchork
May 27, 2021
After 3 years, 4 months & 2 days of hard work, I have just hit a very big milestone: I have just published the 1000th tutorial on the Statistics Globe website!!! statisticsglobe.com Thank you for being part on the way to this achievement! #RStats #Statistics #DataScience
Statistics Globe: Free Statistical Programming Advice
From statisticsglobe.com
Joachim Schork
@JoachimSchork
Oct 25, 2024
If you're still using raw R outputs for presentations, it's time for an upgrade! Tools like gtsummary bring your statistical results to life, making them much more digestible for non-technical audiences. While base R functions like summary(fit) work well for statisticians, they
120K
Joachim Schork
@JoachimSchork
Oct 13, 2024
I've recently discovered a really useful R package by Jan Broder Engler called tidyheatmaps. It's designed to make creating heatmaps from tidy data easy, especially for publication-quality visuals. The package uses pheatmap for detailed heatmaps with less coding. If you work
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Joachim Schork
@JoachimSchork
Jun 17, 2024
I recently stumbled upon a YouTube channel I hadn't discovered before, by Milos Popovic. It's all about crafting stunning maps using R programming! I wanted to spread the word because I believe his tutorials are fantastic. Check it out if you're into data visualization or want to
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Joachim Schork
@JoachimSchork
May 30, 2024
Simpson’s Paradox is a fascinating statistical phenomenon where the relationship between two variables can completely change when a third variable is considered. This often leads to contradictory conclusions if not carefully analyzed. For example, in a data set, you might see a
GIF
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Joachim Schork
@JoachimSchork
Sep 7, 2024
The Kruskal-Wallis test is a non-parametric method used to determine if there are statistically significant differences in the distributions of three or more independent groups based on ranks. Unlike ANOVA, it does not assume a normal distribution, making it versatile for
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Joachim Schork
@JoachimSchork
Nov 11, 2024
I've just explored the brand-new tidyplots package in R, and it’s impressive how effortlessly it enables you to create beautiful, publication-ready plots. Designed with scientific papers in mind, tidyplots lets you build, adjust, and refine plot components gradually, all with a
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Joachim Schork
@JoachimSchork
Nov 16, 2024
The ggplot2 package has become so popular over the years that there are now over 100 extension packages specifically designed to enhance ggplot2 visualizations. These extensions make the ggplot2 syntax even more efficient and help create stunning graphs with ease. In the
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Joachim Schork
@JoachimSchork
Dec 3, 2024
If you're still using raw R outputs for presentations, it's time for an upgrade! Tools like gtsummary bring your statistical results to life, making them much more digestible for non-technical audiences. While base R functions like summary(fit) work well for statisticians, they
52K
Joachim Schork
@JoachimSchork
Dec 26, 2024
Bayes' theorem, a key concept in probability theory, is crucial for making informed decisions in uncertain situations. It allows us to update our beliefs based on new evidence. This theorem mathematically describes the probability of an event, based on prior knowledge of
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Joachim Schork
@JoachimSchork
Aug 18, 2025
Did you know you can calculate the exact sample size you need before you even start your study? A sample size calculation — also called a power analysis — helps you determine the optimal number of observations for your statistical analysis. It ensures your study is large enough
GIF
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Joachim Schork
@JoachimSchork
Dec 23, 2024
The Kruskal-Wallis test is a non-parametric method used to determine if there are statistically significant differences in the distributions of three or more independent groups based on ranks. Unlike ANOVA, it does not assume a normal distribution, making it versatile for
52K
Joachim Schork
@JoachimSchork
Jul 24, 2024
Unlocking the full potential of your linear regression analysis starts with validating its suitability. Here’s a summary of how to validate assumptions before applying this model: 1️⃣ Linearity: The relationship between predictors (independent variables) and the response
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Joachim Schork
@JoachimSchork
Sep 25, 2024
Principal Component Analysis (PCA) is a powerful statistical tool used to simplify complex data sets by transforming them into a set of linearly uncorrelated variables called principal components. This technique is highly beneficial for visualizing your data, especially when
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