Joachim Schork
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Joachim Schork
@joachimschork.bsky.social
530 followers 11 following 180 posts
Data Science Education & Consulting

Website: https://statisticsglobe.com/
YouTube: youtube.com/@StatisticsGlobe
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joachimschork.bsky.social
Do you sometimes wonder which parts of your analysis need to be re-run after changing your code or data?

The graph is taken from the official GitHub page of the package: github.com/ropensci/tar...

Check out this link for more details: statisticsglobe.com/newsletter

#dataviz #dataanalytics #data
February 2, 2026 at 3:23 PM
joachimschork.bsky.social
My Missing Data Imputation in R course is now available as a fully self-paced course, with full access to all materials and recordings, and the option to ask questions at any time in the comment section.

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

#missingdata #statistics #datascience #rstats
January 30, 2026 at 7:32 AM
joachimschork.bsky.social
Highlighting important data in complex plots can be challenging, but gghighlight makes it simple.

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

#visualanalytics #package #rstudio #tidyverse #statistics #datavisualization #ggplot2 #datasciencecourse
January 29, 2026 at 10:38 AM
joachimschork.bsky.social
Effective data visualization is essential for statistical analysis and informed decision-making.

You can access the free module on violin plots here: statisticsglobe.com/online-cours...

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

#dataanalytics #visualanalytics #rprogramminglanguage
January 26, 2026 at 3:23 PM
joachimschork.bsky.social
The image below comes from a recent paper by Grzesiak et al. (2025). For more details and additional results across different data settings, see: arxiv.org/pdf/2511.04833

Dive deeper in my course: statisticsglobe.com/online-cours...

#rstats #statistics #missingdata #datascience
January 23, 2026 at 1:10 PM
joachimschork.bsky.social
A sinusoidal model describes data that follows repeating cycles using sine or cosine functions.

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

Further details: eepurl.com/gH6myT

#rstats #datastructure #datasciencetraining #data
January 22, 2026 at 10:38 AM
joachimschork.bsky.social
Inserting missing values on purpose can be very useful.

In R, you can do this via mice::ampute().

Thanks to Rianne Schouten for introducing me to the function: rianneschouten.github.io/mice_ampute/...

My missing data course: statisticsglobe.com/online-cours...

#rstats #datascience #statistics
January 20, 2026 at 1:34 PM
joachimschork.bsky.social
Misinterpretation of correlation and causation is a common issue in data analysis. Correlation measures the strength and direction of a relationship between two variables, but it does not imply that one variable causes the other.

More details: eepurl.com/gH6myT

#advancedanalytics #research #data
January 19, 2026 at 3:23 PM
joachimschork.bsky.social
Effective data visualization is essential for statistical analysis and informed decision-making. That’s why my online course includes a dedicated section with 9 modules on specific plot types.

Free module: statisticsglobe.com/online-cours...

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

#ggplot2
January 15, 2026 at 10:38 AM
joachimschork.bsky.social
Selecting the right programming language is crucial for the success of your project. R and Julia each bring unique strengths to the table, making a comparison worthwhile.

The data for this post was sourced from: www.kaggle.com/datasets/muh...

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

#package
January 12, 2026 at 3:23 PM
joachimschork.bsky.social
Comparison of mice imputation with Nonlinear Nonparametric Statistics (NNS) and k-Nearest Neighbor (kNN).

Check out my course for more details: statisticsglobe.com/online-cours...

#rstats #statistics #datascience #statisticalanalysis
January 9, 2026 at 12:01 PM
joachimschork.bsky.social
Handling missing data correctly is essential if you want reliable and unbiased results!

I have created a tutorial that explains predictive mean matching in more detail: statisticsglobe.com/predictive-m...

Take a look here for more details: statisticsglobe.com/online-cours...

#rprogramminglanguage
January 8, 2026 at 10:38 AM
joachimschork.bsky.social
Understanding probability distributions is key to making informed decisions in statistics and data science.

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

#statisticsclass #rstats #tidyverse
January 5, 2026 at 3:23 PM
joachimschork.bsky.social
All Statistics Globe courses are now open again: statisticsglobe.com/courses

Especially check out the Missing Data Imputation in R course, which is currently running and has just entered its second half: statisticsglobe.com/online-cours...

#rstats #datascience #statistics #dataanalysis #dataviz
January 5, 2026 at 11:00 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.

The example visualization shown here is taken from the package website: eliocamp.github.io/ggnewscale/

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

#bigdata #data
January 1, 2026 at 10:38 AM
joachimschork.bsky.social
Principal Component Analysis (PCA) before Linear Regression can greatly enhance your data analysis process.

I've developed an in-depth course on PCA theory and its application in R programming. More details: statisticsglobe.com/online-cours...

#rstudio #bigdata #data #statisticsclass
December 29, 2025 at 3:23 PM
joachimschork.bsky.social
Want to show detailed distributions and intervals in a single, easy-to-read plot?

This visualization is from the ggdist package website, demonstrating its powerful features: mjskay.github.io/ggdist/

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

#rprogramming #database #datastructure
December 25, 2025 at 10:38 AM
joachimschork.bsky.social
ggplot2 is the gold standard when it comes to data visualization.

The image in this post showcases examples of ggplot2 visualizations, demonstrating its versatility to create a wide range of plots with nearly limitless customization options.

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

#statistical
December 22, 2025 at 3:23 PM
joachimschork.bsky.social
Final reminder that registration for all Statistics Globe courses is closing by the end of today and will only reopen on January 5.

Here is the list of all courses: statisticsglobe.com/courses

#rstats #datascience #statistics
December 18, 2025 at 4:31 PM
joachimschork.bsky.social
Exploring the ggalign package in R has been fascinating! It’s surprisingly engaging to see how easily you can align heatmaps with dendrograms, making complex data much more interpretable.

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

#data #datascienceeducation #datastructure #dataviz
December 18, 2025 at 10:38 AM
joachimschork.bsky.social
Registration for all Statistics Globe courses is closing soon!

To get access before the holiday break, please register by December 18. After this date, new registrations will be activated starting January 5.

All courses: statisticsglobe.com/courses

#rstats #datascience #statistics
December 16, 2025 at 3:43 PM
joachimschork.bsky.social
The Shapiro-Wilk test is a popular statistical method used to determine if a set of data is normally distributed.

Tutorial: statisticsglobe.com/shapiro-wilk...

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

#dataanalytics #rstudio #data #businessanalyst
December 15, 2025 at 3:23 PM
joachimschork.bsky.social
Principal Component Analysis (PCA) is an essential technique for reducing the dimensionality of data sets while maintaining their key characteristics.

Article: statisticsglobe.com/principal-co...
Video: www.youtube.com/watch?v=mNpB...

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

#ggplot2 #dataviz
December 11, 2025 at 10:38 AM
joachimschork.bsky.social
We are now in the second week of my course on Missing Data Imputation in R, and the visualization below shows a few of the topics we have already discussed.

You can still join here: statisticsglobe.com/online-cours...

#missingdata #statistics #datascience #rstats
December 11, 2025 at 7:57 AM
joachimschork.bsky.social
Looking to visualize distributions clearly and effectively? The ggdensity package enhances ggplot2 in R by simplifying the creation of appealing density plots.

Example: jamesotto852.github.io/ggdensity/

Detailed information: statisticsglobe.com/online-cours...

#package #datasciencetraining #data
December 8, 2025 at 3:23 PM