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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...

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August 20, 2026 at 9:38 AM
joachimschork.bsky.social
Highlighting important data in complex plots can be challenging, but gghighlight makes it simple.

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

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January 29, 2026 at 10:38 AM
joachimschork.bsky.social
Both R and Python are powerful tools widely used for data analysis and research, making them worth a detailed comparison.

Data credit: https://www.kaggle.com/

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December 12, 2024 at 10:38 AM
joachimschork.bsky.social
Simplify and elevate your data visualization with GGally, an R package designed to extend ggplot2.

Visualization: https://ggobi.github.io/ggally/

Details: https://statisticsglobe.com/online-course-data-visualization-ggplot2-r

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January 13, 2025 at 3:23 PM
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The Standard Error measures how much a sample statistic, like the mean, is expected to vary from the true population parameter.

Learn more: https://statisticsglobe.com/online-course-statistical-methods-r

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January 6, 2025 at 3:23 PM
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October 25, 2025 at 6:10 AM
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Decision trees are a powerful tool in data science for making decisions and predictions based on data.

Learn more: https://statisticsglobe.com/online-course-statistical-methods-r

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December 30, 2024 at 3:23 PM
joachimschork.bsky.social
If you're a Stata user, you should switch to R now!

Thinking about switching to R? Check out my online course for absolute beginners in R programming.

Click this link for detailed information: statisticsglobe.com/online-cours...

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May 26, 2025 at 2:23 PM
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Why is Python used for Data Cleaning in Data Science? - www.bipamerica.org/why-is-pytho...

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August 1, 2025 at 4:23 PM
joachimschork.bsky.social
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

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July 16, 2026 at 9:38 AM
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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

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July 9, 2026 at 9:38 AM
joachimschork.bsky.social
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

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August 17, 2026 at 2:23 PM
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December 18, 2025 at 9:44 AM
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February 26, 2026 at 6:48 AM
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June 5, 2026 at 6:59 AM
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September 4, 2026 at 3:42 PM
joachimschork.bsky.social
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...

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August 3, 2026 at 2:23 PM
joachimschork.bsky.social
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...

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July 23, 2026 at 9:38 AM
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The 2026 Data Science for Developing Scholars in Down Syndrome Research (DS3) course has been an incredible experience! Follow along for a day in the life of a DS3 scholar. 💚🩵💙

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July 16, 2026 at 11:33 PM
crnicinstitute.bsky.social
We asked several Data Science for Developing Scholars in Down Syndrome (DS3) scholars to share their favorite part of the DS3 course. Watch this video to hear their perspectives! 💚🩵💙

Learn more at includeds3.org.

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July 15, 2026 at 8:18 PM
joachimschork.bsky.social
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...

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July 6, 2026 at 2:23 PM
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November 29, 2025 at 3:58 PM
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January 23, 2025 at 7:48 AM
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July 15, 2025 at 12:39 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

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October 23, 2025 at 9:38 AM