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

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

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

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

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

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

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

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

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

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

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

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

Understanding probability distributions is key to making informed decisions in statistics and data science. More details: statisticsglobe.com/online-cours... #database #tidyverse #bigdata #ggplot2

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

Free course previews: - Working with Rows: statisticsglobe.com/online-cours... - Violin Plots: statisticsglobe.com/online-cours... - Sampling Methods: statisticsglobe.com/online-cours... - PCA in R: statisticsglobe.com/online-cours... #rstats #statistics #datascience #rstudio #dataviz

If you’re interested in Machine Learning, having a clear roadmap can simplify the process of mastering this complex field. I came across this roadmap on the AIGENTS website, and what makes it stand out is its interactive structure. More details: aigents.co/learn/roadma... #rstudio #statistics

Most data projects follow a clear sequential process: 1) Data Import 2) Data Manipulation 3) Data Visualization 4) Data Analysis Free R video: www.youtube.com/watch?v=l2Og... My online courses also follow this structure: statisticsglobe.com/courses #data #datascience #statistics #rstats #python

Courses open again with 33% off. Sneak peek below. Data Manipulation in R: www.youtube.com/watch?v=XGBj... ggplot2 Extensions: www.youtube.com/watch?v=44hT... ANOVA in R: www.youtube.com/watch?v=m9hd... PCA & K-means Clustering: www.youtube.com/watch?v=nzhS... #datascience #statistics #rstats