iiinova — where your digital self keeps evolving

Joachim Schork @joachimschork.bsky.social · 01/10/2026

🎉 I just noticed that I recently celebrated my 8-year YouTube anniversary! Thank you so much for your support over the years! You can check out my YouTube channel here: www.youtube.com/@StatisticsG... #Statistics #DataScience #ArtificialIntelligence #AI #RStats #Python #Programming #YouTube

040

Joachim Schork @joachimschork.bsky.social · 30/09/2026

AI tools like ChatGPT can be incredibly useful when your R code isn't working as expected. "Debugging R Code with AI" is the first module of the new Statistics Globe Hub batch: statisticsglobe.com/hub #RStats #DataScience #AI #Statistics

010

Joachim Schork @joachimschork.bsky.social · 28/09/2026

Final reminder: The current Statistics Globe Hub promotion ends in just a few hours! 🎁 If you join the Hub today, you’ll receive all August modules for free, plus all September modules released so far: statisticsglobe.com/hub #Statistics #DataScience #AI #RStats #Python #DataAnalysis

000

Joachim Schork @joachimschork.bsky.social · 25/09/2026

Quick reminder that a new batch of Statistics Globe Hub modules starts on September 28. Overview of all modules: statisticsglobe.com/hub-overview Registration: statisticsglobe.com/hub I’d be happy to welcome you to the Hub! #Statistics #DataScience #AI #RStats #Python #DataVisualization

000

Joachim Schork @joachimschork.bsky.social · 22/09/2026

A standard bar chart cannot easily show how individual groups change over time. So what can you use instead? Alluvial plots! More info in my new Statistics Globe Hub module: statisticsglobe.com/hub #RStats #RProgramming #DataVisualization #DataScience #Statistics #DataAnalysis #StatisticsGlobeHub

031

Joachim Schork @joachimschork.bsky.social · 21/09/2026

Mean imputation may seem like a convenient way to handle missing data, but it can introduce serious distortions. New Statistics Globe Hub module on this topic: statisticsglobe.com/hub #RStats #RProgramming #Statistics #DataScience #DataAnalysis #MissingData #StatisticsGlobeHub

000

Joachim Schork @joachimschork.bsky.social · 17/09/2026

A new batch of Statistics Globe Hub modules starts on September 28, with a fresh module released every week. Schedule: statisticsglobe.com/hub-overview More about the Hub: statisticsglobe.com/hub #Statistics #DataScience #AI #RStats #Python #DataVisualization #DataAnalysis #StatisticsGlobeHub

000

Joachim Schork @joachimschork.bsky.social · 15/09/2026

Statistics Globe course and Hub registration is open again, plus a free Hub month! 🎉 If you join the Hub by September 28, you’ll get access to all modules from August for free. Courses: statisticsglobe.com/courses Hub: statisticsglobe.com/hub #Statistics #DataScience #RStats #Python #AI

010

Joachim Schork @joachimschork.bsky.social · 14/09/2026

AI can make data manipulation in R programming much more efficient, but the quality of the results depends heavily on how you use it. Learn more in my new Statistics Globe Hub module: statisticsglobe.com/hub #RStats #RProgramming #DataScience #AI #DataManipulation #DataAnalysis #Statistics

010

Joachim Schork @joachimschork.bsky.social · 29/08/2026

How can AI help you learn methods like mixed effects models? New video with SciSpace: www.youtube.com/watch?v=nkY-... Thanks to SciSpace for sponsoring. Try it: scispace.com?via=ag2joachim 🎁 35% off the SciSpace Max plan + 40,000 credits 🎁 Coupon code: ATJOA35 #RStats #DataScience #SciSpace #AI

010

Joachim Schork @joachimschork.bsky.social · 27/08/2026

Final reminder: Registration for the Statistics Globe Hub and all Statistics Globe courses closes today, August 27. - Statistics Globe Hub: statisticsglobe.com/hub - Overview of all courses: statisticsglobe.com/courses #statistics #datascience #rstats #python #machinelearning #ai

000

Joachim Schork @joachimschork.bsky.social · 26/08/2026

Only one day left to join the Statistics Globe Hub or enroll in any Statistics Globe course before registration closes. - Statistics Globe Hub: statisticsglobe.com/hub - Statistics Globe Courses: statisticsglobe.com/courses #statistics #datascience #rstats #python #machinelearning #ai

010

Joachim Schork @joachimschork.bsky.social · 24/08/2026

Kaplan-Meier curves estimate and visualize the probability of remaining event-free over time while accounting for censored observations. More information in my latest Statistics Globe Hub module: statisticsglobe.com/hub #statistics #datascience #RStats #SurvivalAnalysis #DataVisualization

020

Joachim Schork @joachimschork.bsky.social · 20/08/2026

The ggh4x package is an extension for ggplot2 that enhances the flexibility of creating complex and customizable visualizations. Visualization: teunbrand.github.io/ggh4x/ More details: statisticsglobe.com/online-cours... #package #tidyverse #datasciencecourse #visualanalytics #rstudio #ggplot2

094

Joachim Schork @joachimschork.bsky.social · 20/08/2026

Registration for the Statistics Globe Hub and all Statistics Globe courses will close next Thursday, August 27, 2026. statisticsglobe.com/courses 50% discount on all courses for Statistics Globe Hub members! #statistics #datascience #rstats #python #machinelearning #ai #statisticsglobehub

020

Joachim Schork @joachimschork.bsky.social · 17/08/2026

In statistics, Frequentist and Bayesian approaches are two major methods of inference. While they aim to solve similar problems, they differ in their interpretation of probability and handling of uncertainty. Further details: statisticsglobe.com/newsletter #datascientists #datasciencecourse

010

Joachim Schork @joachimschork.bsky.social · 17/08/2026

Chat directly with AI without leaving RStudio! In my latest Statistics Globe Hub module, I demonstrate how to use the chattr package through a practical data visualization example: statisticsglobe.com/hub #RStats #DataScience #GenerativeAI #LLM #ArtificialIntelligence #RStudio #chattr #Statistics

000

Joachim Schork @joachimschork.bsky.social · 13/08/2026

Looking to take your data visualization to the next level? The ggdist package extends ggplot2 with specialized tools for visualizing distributions, uncertainties, and comparing data groups. Visualization: mjskay.github.io/ggdist/ More: statisticsglobe.com/online-cours... #data #tidyverse #rstudio

020

Joachim Schork @joachimschork.bsky.social · 11/08/2026

SciSpace is an AI-powered platform designed specifically to support researchers throughout their work. Thanks to SciSpace for sponsoring this post! Save 35% on the Max plan with code AOJOA35 and get 40,000 credits: scispace.com?via=aug1joac... #AI #Research #DataScience #Statistics #RStats #Python

000

Joachim Schork @joachimschork.bsky.social · 10/08/2026

Compare multiple statistical models effortlessly with ggstats, a versatile extension package for ggplot2 that simplifies data visualization tasks. Example visualization: larmarange.github.io/ggstats/arti... More info: statisticsglobe.com/online-cours... #tidyverse #dataviz #dataanalytics

000

Joachim Schork @joachimschork.bsky.social · 06/08/2026

Add interactivity to your visualizations with ggiraph, a powerful extension for ggplot2 in R. The example visualization shown here is from the ggiraph package website: davidgohel.github.io/ggiraph/ More details: statisticsglobe.com/online-cours... #dataviz #research #ggplot2 #datascienceeducation

000

Joachim Schork @joachimschork.bsky.social · 03/08/2026

People often ask how to visualize multiple biplots, each showing different combinations of principal components, on a single graph. More details are available at this link: statisticsglobe.com/online-cours... #analysis #statisticians #datasciencecourse #rprogramminglanguage #data

000

Joachim Schork @joachimschork.bsky.social · 03/08/2026

Working on data science projects often means switching between multiple programming languages. In my latest Statistics Globe Hub module, I demonstrate a complete multi-language workflow using Positron: statisticsglobe.com/hub #DataScience #RStats #Python #MachineLearning #Statistics #Programming

010

Joachim Schork @joachimschork.bsky.social · 31/07/2026

Only 1 day left to secure access to all Statistics Globe Hub modules released in July. More info about the Statistics Globe Hub: statisticsglobe.com/hub #Statistics #DataScience #AI #RStats #Python #Programming #MachineLearning #StatisticsGlobe

000

Joachim Schork @joachimschork.bsky.social · 30/07/2026

Combining tables and plots in a single graphic layout is a fantastic way to present both data and visuals side-by-side, enhancing your data storytelling. Video: www.youtube.com/watch?v=M9IH... Website: statisticsglobe.com/combine-tabl... More: statisticsglobe.com/online-cours... #package #r

000

Joachim Schork @joachimschork.bsky.social · 29/07/2026

July has been a great month for anyone interested in using AI tools to make programming in R, Python, and other languages more efficient. You can learn more about the Statistics Globe Hub here: statisticsglobe.com/hub #Statistics #DataScience #RStats #Python #AI #MachineLearning #DataAnalysis

000

Joachim Schork @joachimschork.bsky.social · 27/07/2026

Need to visualize multi-dimensional categorical data in R? The visualization shown here is taken from the package website: corybrunson.github.io/ggalluvial/ More details: statisticsglobe.com/online-cours... #ggplot2 #tidyverse #bigdata #package #statisticians #analysis #datavisualization #data

000

Joachim Schork @joachimschork.bsky.social · 27/07/2026

Survey calibration is one of the most important techniques in survey statistics. More information in the latest module of the Statistics Globe Hub: statisticsglobe.com/hub #RStats #SurveyStatistics #OfficialStatistics #Sampling #DataScience #Statistics #StatisticsGlobeHub

030

Joachim Schork @joachimschork.bsky.social · 23/07/2026

Principal Component Analysis (PCA) is a powerful technique for reducing the dimensionality of your data while maintaining its essential structure. Video: www.youtube.com/watch?v=f34z... More details: statisticsglobe.com/online-cours... #datasciencecourse #datascienceeducation

000

Joachim Schork @joachimschork.bsky.social · 21/07/2026

The way you use AI can have a huge impact on how much value you get from it. A new series of Statistics Globe Hub modules has just started, and the first module is ChatGPT for R Programming. More information: statisticsglobe.com/hub #AI #RStats #Python #DataScience #MachineLearning #Statistics

020

Joachim Schork @joachimschork.bsky.social · 20/07/2026

Have you heard about the gtExtras package for R? Link to an article about the package by Thomas Mock: themockup.blog/posts/2022-0... Link to the blog article by Yan Holtz: datavizuniverse.substack.com/p/navigating... More: statisticsglobe.com/newsletter #datavisualization #package #analytics #r

010

Joachim Schork @joachimschork.bsky.social · 16/07/2026

Simpson’s Paradox is a fascinating statistical phenomenon where the relationship between two variables can completely change when a third variable is considered. Visualization: en.wikipedia.org/wiki/Simpson... Learn more: statisticsglobe.com/newsletter #datastructure #rstats #datasciencecourse

010

Joachim Schork @joachimschork.bsky.social · 15/07/2026

Only a few days remain until the next batch of modules starts in the Statistics Globe Hub! Beginning on Monday, July 20, a new module will be released each week. More info about the Statistics Globe Hub: statisticsglobe.com/hub #RStats #Python #DataScience #MachineLearning #Statistics #AI

010

Joachim Schork @joachimschork.bsky.social · 13/07/2026

Propensity Score Matching (PSM) is one of the most widely used methods for estimating causal effects from observational data. More information in the latest Statistics Globe Hub module: statisticsglobe.com/hub #Statistics #DataScience #RStats #DataAnalysis #ResearchMethods

020

Joachim Schork @joachimschork.bsky.social · 13/07/2026

Automatic variable selection is a powerful technique for simplifying models, reducing overfitting, and improving interpretability. If you're interested, you can read the full paper here: statistiques.public.lu/dam-assets/c.... More details: statisticsglobe.com/newsletter #dataviz #analysisskills

010

Joachim Schork @joachimschork.bsky.social · 10/07/2026

A new batch of modules in the Statistics Globe Hub is about to begin! More info: statisticsglobe.com/hub #RStats #Python #DataScience #MachineLearning #Statistics #AI #StatisticsGlobeHub

030

Joachim Schork @joachimschork.bsky.social · 09/07/2026

Data visualization plays a central role in data journalism. Clear and well-designed charts help communicate complex information. The examples are taken from the tidyplots website: tidyplots.org More details: statisticsglobe.com/newsletter #dataanalytics #datasciencecourse #datascienceeducation #r

011

Joachim Schork @joachimschork.bsky.social · 06/07/2026

Create clear and informative box plots with added statistical insights using ggpubr! The visualization shown here is from the package website: rpkgs.datanovia.com/ggpubr/ More information: statisticsglobe.com/online-cours... #bigdata #datasciencecourse #statistical #package #datavisualization

000

Joachim Schork @joachimschork.bsky.social · 06/07/2026

PyGWalker makes exploratory data analysis (EDA) faster and easier than ever! Learn more in the latest Statistics Globe Hub module: statisticsglobe.com/hub #python #datascience #dataanalysis #exploratorydataanalysis #datavisualization #pythonprogramming #jupyter #pygwalker #statisticsglobehub

010

Joachim Schork @joachimschork.bsky.social · 02/07/2026

The Standard Error measures how much a sample statistic, like the mean, is expected to vary from the true population parameter. Learn more: statisticsglobe.com/online-cours... #rprogramminglanguage #businessanalyst #data

000

Joachim Schork @joachimschork.bsky.social · 30/06/2026

Last chance to access this month's Statistics Globe Hub modules: 🔹 Raincloud Plots in R 🔹 Data Joining Techniques with dplyr in R 🔹 Ridge, Lasso, and Elastic Net Regression 🔹 Chat with LLMs Using ellmer in R Join today: statisticsglobe.com/hub #Statistics #DataScience #RStats #Python #AI

010

Joachim Schork @joachimschork.bsky.social · 29/06/2026

Choosing the right programming language is essential for achieving your project goals. R and MATLAB both offer unique strengths, making it important to understand how they compare. Data source: www.kaggle.com/datasets/muh... More: statisticsglobe.com/online-cours... #package #bigdata #database

010

Joachim Schork @joachimschork.bsky.social · 25/06/2026

Recently found this excellent R best practices cheat sheet by Jacob Scott. You can find the original cheat sheet here: github.com/wurli/r-best... #rstats #datascience #programming #statistics #rprogramming

2202

Joachim Schork @joachimschork.bsky.social · 23/06/2026

Final reminder: The special Statistics Globe Hub promotion ends today (June 23). Join before the end of today and get access not only to all Hub modules released in June, but also free access to all modules released in May 2026: statisticsglobe.com/hub #Statistics #DataScience #RStats #Python #AI

020

Joachim Schork @joachimschork.bsky.social · 22/06/2026

Raincloud plots are a great way to visualize your data by combining multiple plot types into one figure. I’ve just released a new module on raincloud plots in the Statistics Globe Hub: statisticsglobe.com/hub #rstats #datascience #statistics #datavisualization #ggplot2 #ggdist

010

Joachim Schork @joachimschork.bsky.social · 19/06/2026

Learning a programming language like R can completely change the way you work with data. Join the Statistics Globe Hub now and get immediate access to several beginner-friendly modules. More info: statisticsglobe.com/hub #RStats #DataScience #Statistics #AI

010

Joachim Schork @joachimschork.bsky.social · 18/06/2026

I’ve just reopened registration for the Statistics Globe Hub and all Statistics Globe online courses. Special offer: Join the Hub by June 23 and get access to an additional month at no extra cost. More info: statisticsglobe.com/hub #RStats #Python #DataScience #Statistics #AI

020

Joachim Schork @joachimschork.bsky.social · 18/06/2026

The ggplot2 package has become so popular over the years that there are now hundreds of extension packages specifically designed to enhance ggplot2 visualizations. Watch the video here: www.youtube.com/watch?v=44hT... More: statisticsglobe.com/online-cours... #datavisualization #tidyverse #r

001

Joachim Schork @joachimschork.bsky.social · 15/06/2026

Choosing the wrong join can silently remove observations, duplicate rows, or introduce missing values into your data. More info in the latest Statistics Globe Hub module: statisticsglobe.com/hub #rstats #datascience #statistics #programming #tidyverse #dplyr #analytics #statisticsglobehub

040

Joachim Schork @joachimschork.bsky.social · 11/06/2026

Looking to effortlessly merge multiple ggplot2 plots into one seamless graphic? The patchwork package simplifies the process of arranging and aligning plots. Example visualization: patchwork.data-imaginist.com More details: statisticsglobe.com/online-cours... #dataanalytic #tidyverse #analysis #r

000