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Joachim Schork @joachimschork.bsky.social · 8h

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

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Joachim Schork @joachimschork.bsky.social · 3d

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

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Joachim Schork @joachimschork.bsky.social · 7d

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

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Joachim Schork @joachimschork.bsky.social · 10d

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

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Joachim Schork @joachimschork.bsky.social · 14d

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

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Joachim Schork @joachimschork.bsky.social · 17d

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

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Joachim Schork @joachimschork.bsky.social · 21d

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

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Joachim Schork @joachimschork.bsky.social · 24d

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

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Joachim Schork @joachimschork.bsky.social · 28d

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

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Joachim Schork @joachimschork.bsky.social · Sep 9

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

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Joachim Schork @joachimschork.bsky.social · Sep 8

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

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Joachim Schork @joachimschork.bsky.social · Sep 4

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

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Joachim Schork @joachimschork.bsky.social · Sep 1

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

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Joachim Schork @joachimschork.bsky.social · Aug 28

Local regression is a non-parametric method for fitting smooth curves to data by applying multiple localized regressions.

Image adapted from Wikipedia: en.wikipedia.org/wiki/Local_r...

More: eepurl.com/gH6myT

#bigdata #datavisualization #rstats #package

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Joachim Schork @joachimschork.bsky.social · Aug 25

I recently stumbled over the tmap R package and was amazed by its capabilities!

Guide: r-tmap.github.io/tmap/

Thanks to Jakub Nowosad, Martijn Tennekes and the other contributors for their great work on this package!

More: eepurl.com/gH6myT

#dataanalytics #rprogramming #dataanalytics #package

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Joachim Schork @joachimschork.bsky.social · Aug 21

Function approximation is a technique used to find simple functions that closely represent complex or unknown functions.

Images: en.wikipedia.org/wiki/Functio...

More: eepurl.com/gH6myT

#rstats #data #research

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Joachim Schork @joachimschork.bsky.social · Aug 18

The Wilcoxon Signed-Rank Test is a non-parametric statistical test used to compare two related samples or repeated measurements to determine if their population distributions differ.

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

#datastructure #datascienceeducation #dataviz #coding

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Joachim Schork @joachimschork.bsky.social · Aug 14

The XGBoost Python library is one of the most powerful and widely used tools for gradient boosting, designed to optimize both speed and performance.

Image: xgboost.readthedocs.io/en/stable/tu...

More: eepurl.com/gH6myT

#datastructure #programming #datavisualization #statisticsclass#dataanalytics

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Joachim Schork @joachimschork.bsky.social · Aug 11

I’ve created a series of posts about data visualization with ggplot2 in R, where I discuss key data visualization concepts, explore various plot types, and showcase useful ggplot2 extensions.

Learn more by visiting this link: statisticsglobe.com/online-cours...

#package #dataanalytic #ggplot2

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Joachim Schork @joachimschork.bsky.social · Aug 7

Principal Component Analysis (PCA) isn't just a statistical method; it's a bridge connecting diverse research areas and industries by simplifying complex data.

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

#rstudio #analytics #dataanalytic

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Joachim Schork @joachimschork.bsky.social · Aug 4

When analyzing missing data, it is crucial to identify patterns and explore relationships between variables to ensure accurate and robust analysis.

The attached matrix plot was created using the matrixplot function.

More information: cran.r-project.org/web/packages...

#dataanalytics #coding #data

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Joachim Schork @joachimschork.bsky.social · Jul 31

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...

#rstudio

Joachim Schork @joachimschork.bsky.social · Jul 28

Misuse of p-values is a prevalent issue in scientific research. P-values are often misunderstood and misapplied, leading to incorrect conclusions.

The graph shown in this post is a modified version of this Wikipedia image: es.wikipedia.org/wiki/Valor_p...

More: eepurl.com/gH6myT

#datastructure

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Joachim Schork @joachimschork.bsky.social · Jul 24

In my opinion, ggplot2 is by far the best tool for visualizing your data!

Video: www.youtube.com/watch?v=Cl9y...
Website Tutorial: statisticsglobe.com/ggplot2-r-pa...

Learn more by visiting this link: statisticsglobe.com/online-cours...

#datavisualization #data #package #programming #rprogramming

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Joachim Schork @joachimschork.bsky.social · Jul 23

This is a final reminder that the 33% discount on all Statistics Globe online courses ends today.

If you’re interested in boosting your R programming and data science skills, now is the perfect time!

Here’s the full list of courses: statisticsglobe.com/courses

#rstats #statistics #datascience

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