Joachim Schork
LightNews LightNews
banner
joachimschork.bsky.social
Joachim Schork
@joachimschork.bsky.social
510 followers 11 following 140 posts
Data Science Education & Consulting

Website: https://statisticsglobe.com/
YouTube: youtube.com/@StatisticsGlobe
Posts Replies Media Videos
joachimschork.bsky.social
Next Monday, the Statistics Globe online course on Missing Data Imputation in R will begin.

Check out the course: statisticsglobe.com/online-cours...

#rstats #missingdata #datascience #statistics
November 25, 2025 at 8:15 AM
joachimschork.bsky.social
Working with brain imaging data in R? The ggseg package for ggplot2 offers an effective way to visualize neuroimaging data with clear and customizable brain segmentations.

Visualization: github.com/ggseg/ggseg

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

#coding #package #advancedanalytics #ggplot2
November 24, 2025 at 3:23 PM
joachimschork.bsky.social
Why you shouldn't use listwise deletion when handling missing data. Video tutorial: www.youtube.com/watch?v=v9rz...

Check out my course on Missing Data Imputation in R, starting December 1: statisticsglobe.com/online-cours...

#statistics #datascience #rstats #mice #missingdata
November 24, 2025 at 8:25 AM
joachimschork.bsky.social
My upcoming online course on Missing Data Imputation in R will be the most comprehensive course I have ever created!

Here is what you can expect: statisticsglobe.com/online-cours...

#rstats #statistics #datascience #dataanalysis #dataquality #bias
November 21, 2025 at 8:33 AM
joachimschork.bsky.social
A sinusoidal model describes data that follows repeating cycles using sine or cosine functions.

Image: en.wikipedia.org/wiki/Sine_an...

More: eepurl.com/gH6myT

#bigdata #rprogramminglanguage #statisticalanalysis #datastructure #analysis
November 20, 2025 at 10:38 AM
joachimschork.bsky.social
Friendly reminder that the Early Bird promotion for the Missing Data Imputation in R course ends today!

More details about the course: statisticsglobe.com/online-cours...

#missingdata #statistics #datascience #dataanalysis #rstats
November 19, 2025 at 8:00 AM
joachimschork.bsky.social
Just a quick reminder that the early bird promotion for my upcoming online course Missing Data Imputation in R ends tomorrow, November 19.

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

#missingdata #imputation #bias #datascience #rstats #statistics
November 18, 2025 at 9:36 AM
joachimschork.bsky.social
New series of social media posts on handling missing values:

- Variability Problems (432 Likes): www.linkedin.com/posts/joachi...
- Imputation Methods Compared (376 Likes): x.com/JoachimSchor...
- Random Forest Imputation (523 Likes): www.facebook.com/groups/stati...

#rstats #statistics #data
November 17, 2025 at 3:23 PM
joachimschork.bsky.social
Get one of my other courses for free if you register for my online course on Missing Data Imputation in R by November 19: statisticsglobe.com/online-cours...

#missingdata #imputation #statistics #datascience #rstats
November 14, 2025 at 1:00 PM
joachimschork.bsky.social
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
joachimschork.bsky.social
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
joachimschork.bsky.social
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
joachimschork.bsky.social
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
joachimschork.bsky.social
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
joachimschork.bsky.social
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
joachimschork.bsky.social
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
joachimschork.bsky.social
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
joachimschork.bsky.social
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
joachimschork.bsky.social
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
joachimschork.bsky.social
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
joachimschork.bsky.social
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
joachimschork.bsky.social
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
joachimschork.bsky.social
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
joachimschork.bsky.social
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
joachimschork.bsky.social
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