Joachim Schork
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joachimschork.bsky.social
Joachim Schork
@joachimschork.bsky.social
Data Science Education & Consulting

Website: https://statisticsglobe.com/
YouTube: youtube.com/@StatisticsGlobe
New online course, starting on December 1, 2025.

Topic: Missing Data Imputation in R

More info: statisticsglobe.com/online-cours...

#statistics #datascience #rstats #missingdata #dataanalysis #bias
November 13, 2025 at 12:55 PM
Regression imputation is a widely used method for handling missing data, leveraging relationships between variables to estimate missing values.

The attached image illustrates stochastic regression imputation applied to heteroscedastic data.

Tutorial: statisticsglobe.com/regression-i...

#data
November 13, 2025 at 10:38 AM
Discover the full potential of your spatial data with GeoPandas! This powerful Python package extends the capabilities of pandas to work with geospatial data.

Visualizations: geopandas.org/en/stable/in...

More: eepurl.com/gH6myT

#package #pythondevelopers #rstats
November 10, 2025 at 3:23 PM
Understanding probability distributions is key to making informed decisions in statistics and data science.

More details: statisticsglobe.com/online-cours...

#database #tidyverse #bigdata #ggplot2
November 6, 2025 at 10:38 AM
Until recently, AI had little regulation.

The EU AI Act is one of the first serious attempts to build a full legal framework for safe and transparent AI.

More: www.europarl.europa.eu/topics/en/ar...

Further information: eepurl.com/gH6myT

#bigdata #dataanalytics #dataanalytic #coding
November 3, 2025 at 3:23 PM
Adding labels and statistical insights can easily enhance your visualizations of numeric variables! The ggdotplotstats() function from the ggstatsplot package merges dot plots with essential statistics.

Visualization: github.com/IndrajeetPat...

More: statisticsglobe.com/online-cours...

#tidyverse
October 30, 2025 at 10:38 AM
The ggnewscale package is a useful extension for ggplot2 that allows you to add multiple color and fill scales to the same plot.

Example visualization: eliocamp.github.io/ggnewscale/

Learn more: statisticsglobe.com/online-cours...

#tidyverse #package #datastructure #datavisualization #ggplot2
October 27, 2025 at 3:23 PM
When working with missing data, multiple imputation provides a powerful and robust solution to address incomplete data sets.

Mice package: github.com/amices/mice

More: eepurl.com/gH6myT

#programming #package #database #rprogramminglanguage #businessanalyst #datavisualization #datasciencecourse
October 23, 2025 at 9:38 AM
Have you heard about the gtExtras package for R? This package aims to elevate your R table game, merging the powerful static tables of gt with dynamic graphics.

Link: themockup.blog/posts/2022-0...
Article: datavizuniverse.substack.com/p/navigating...

More: eepurl.com/gH6myT

#datastructure #data
October 20, 2025 at 2:24 PM
Would you like to learn more about logistic regression? In a recent article, Adrian Olszewski, sheds light on a widespread misconception: logistic regression is much more than just a classification tool.

Link: www.linkedin.com/pulse/logist...

More: eepurl.com/gH6myT

#dataanalytics #rprogramming
October 16, 2025 at 9:38 AM
When it comes to learning data science, statistics, and programming, having the right resources is essential.

Links and further descriptions here: statisticsglobe.com/statistics-d...

More info: statisticsglobe.com/online-cours...

#datavisualization #analysis #data #database #datascienceeducation
October 13, 2025 at 2:23 PM
New YouTube video that shows how to use Julius AI to estimate a linear regression model, visualize the results, generate R code you can copy into RStudio, and validate and extend your analysis from there: www.youtube.com/watch?v=vVrl...

#DataScience #Statistics #RStats #Python #AI #Sponsored
October 10, 2025 at 12:51 PM
The tidyverse packages are perhaps the biggest advantage of the R programming language.

Video: www.youtube.com/watch?v=2PI0...

The Data Professor YouTube channel: www.youtube.com/@DataProfessor

More details: statisticsglobe.com/online-cours...

#datavisualization #ggplot2 #datastructure
October 9, 2025 at 9:38 AM
Errors and warnings in R programming can be challenging, but I've got you covered! I've created a list of common errors and warnings in R, including examples and step-by-step instructions: statisticsglobe.com/errors-warni...

More: statisticsglobe.com/online-cours...

#rstats #datascientists
October 6, 2025 at 2:23 PM
When building predictive models, overfitting is a common challenge. Shrinkage methods help address this by adding a penalty term to the objective function during training, which discourages large coefficients.

More details: statisticsglobe.com/online-cours...

#statistics #package #rstudio
October 2, 2025 at 9:38 AM
The four moments in statistics — mean, variance, skewness, and kurtosis — are essential for understanding the shape and behavior of data distributions.

The visualization shown based on data generated in R using ggplot2.

More: statisticsglobe.com/online-cours...

#data #businessanalyst #data
September 29, 2025 at 2:23 PM
Bring your visualizations to life with see, a dynamic R package from the easystats ecosystem that extends ggplot2 to create modern and intuitive graphics.

Visualizations: github.com/easystats/see

Learn more: statisticsglobe.com/online-cours...

#package #datavisualization #tidyverse #analysis
September 25, 2025 at 9:38 AM
I recently discovered the correctR package by Trent Henderson. correctR is designed for the statistical comparison of machine learning models on correlated samples.

More details: hendersontrent.github.io/correctR/

Learn more: eepurl.com/gH6myT

#rstats #businessanalyst #package
September 22, 2025 at 2:23 PM
The ggpointdensity package is an extension for ggplot2 that helps visualize point density in scatter plots.

Visualization: github.com/LKremer/ggpo...

Further details: statisticsglobe.com/online-cours...

#ggplot2 #coding #datascienceeducation #datastructure #package #tidyverse #rstats #database
September 18, 2025 at 9:38 AM
I just found out that I’m currently ranked as the No. 1 Data Science creator in Germany on LinkedIn. Really exciting news! 😊

Make sure to follow if you don’t want to miss any Data Science updates: www.linkedin.com/in/joachim-s...

#datascience #statistics #ai #rstats #python
September 15, 2025 at 2:23 PM
The ggalign package in R brings flexibility to your visualizations by helping align multiple plots and incorporate complex hierarchical data structures, like dendrograms, alongside your primary charts (visualization from package website).

More details: statisticsglobe.com/online-cours...

#rstudio
September 11, 2025 at 9:38 AM
With the rise of AI, data analysis has been transformed. Julius AI lets you ask questions in plain English and instantly get ready-to-use R or Python code.

Tutorial: statisticsglobe.com/data-analysi...

Visit Julius AI: bit.ly/46dKh7J

#DataScience #Statistics #RStats #Python #AI #Sponsored
September 9, 2025 at 12:33 PM
Want to visualize textual data clearly and attractively? The ggpage package extends ggplot2 to create visualizations that resemble the layout of a book page.

Visualization: emilhvitfeldt.github.io/ggpage/

Big thanks to Emil Hvitfeldt!

More: statisticsglobe.com/online-cours...

#ggplot2 #package
September 8, 2025 at 2:23 PM
In my opinion, R should be your go-to programming language!

Ready to explore the world of R? I've created a comprehensive online course that introduces R for beginners: statisticsglobe.com/online-cours...

#datastructure #datavisualization #coding #datavisualization #rprogramming #pythoncourse
September 4, 2025 at 9:38 AM
Understanding the z-score can significantly enhance your data analysis skills.

I've created a tutorial on how to compute z-scores in the R programming language: statisticsglobe.com/z-score-in-r

More: statisticsglobe.com/online-cours...

#advancedanalytics #research #datastructure
September 1, 2025 at 2:23 PM