Did you know you can chat with an AI directly in R? The gander package makes this possible.
I recently published a new module about gander in the Statistics Globe Hub: statisticsglobe.com/hub
#statistics #datascience #ai #rstats #python #machinelearning #analytics #datavisualization #coding
K-means clustering is a simple and widely used method for identifying patterns in data.
I also use it in a recent Statistics Globe Hub module, where it is combined with synthetic data created using the drawdata Python library: statisticsglobe.com/hub
#datascience #machinelearning #kmeans #rstats
Monte Carlo simulations are a great tool for numerical approximations.
In this example, they are used to estimate the value of pi.
I just released a new module on Monte Carlo simulation in the Statistics Globe Hub: statisticsglobe.com/hub
#statistics #datascience #probability #math #analytics
Today is the final opportunity to get access to all Statistics Globe Hub modules released in March.
Full overview and details: statisticsglobe.com/hub
#statistics #datascience #ai #rstats #python #statisticsglobehub
Great points Daniel, thanks for sharing.
Multiple imputation by chained equations (MICE) is a widely used method for handling missing data, offering flexibility and robustness across a variety of data sets.
More details: statisticsglobe.com/online-cours...
#database #rprogramminglanguage #datastructure #research #datavisualization #data
How to tell if a statistical method really works?
Monte Carlo simulations give a clear answer. Instead of relying on one dataset, you generate data repeatedly and compare methods across many runs.
New module in the Statistics Globe Hub: statisticsglobe.com/hub
#Statistics #DataScience #RStats
When dealing with missing data, maintaining the underlying structure and variability of the data is critical, especially for nonlinear relationships.
Full tutorial here: statisticsglobe.com/predictive-m....
Further details: statisticsglobe.com/online-cours...
#rprogramminglanguage#visualanalytics
I’ve just published a new module in the Statistics Globe Hub on how to draw synthetic datasets using the drawdata Python library and analyze them afterward in R using k-means clustering.
More information about the Statistics Globe Hub: statisticsglobe.com/hub
#datascience #python #rstats #kmeans
Principal Component Analysis (PCA) is a powerful technique for reducing the dimensionality of your data while maintaining its essential structure.
More detail: www.youtube.com/watch?v=f34z...
Check out this link: statisticsglobe.com/online-cours...
#statistical #bigdata #dataviz #businessanalyst
Missing data imputation is an important step to reduce bias and improve the quality of your analysis. However, the process should not stop once the imputed values are created.
See this link for additional information: statisticsglobe.com/online-cours...
#datastructure #statistics #bigdata
Today is the last chance to secure access to all Statistics Globe Hub modules released in March.
You can find the full overview and more details here: statisticsglobe.com/hub
#statistics #datascience #ai #rstats #python #statisticsglobehub
Check out the Statistics Globe Hub: statisticsglobe.com/hub
The Statistics Globe Hub is an ongoing learning program that helps you stay up to date with statistics, data science, AI, and programming using R and Python.
#ggstatsplot #datavis #statistics #datascience #rstats #statisticsglobehub
Check out the Statistics Globe Hub: statisticsglobe.com/hub
The Statistics Globe Hub is an ongoing learning program that helps you stay up to date with statistics, data science, AI, and programming using R and Python.
#randomforest #machinelearning #datascience #rstats #statisticsglobehub
Graphs and Statistics with ggstatsplot in R: New module in the Statistics Globe Hub.
More info: statisticsglobe.com/hub
Only 1 day left to get access to all March modules. Join now to secure your access.
#statistics #datascience #rstats #datavisualization #machinelearning #ai
Check out the Statistics Globe Hub: statisticsglobe.com/hub
The Statistics Globe Hub is an ongoing learning program that helps you stay up to date with statistics, data science, AI, and programming using R and Python.
#tidyplots #datavisualization #rstats #ggplot2 #datascience #statisticsglobehub
Check out the Statistics Globe Hub: statisticsglobe.com/hub
The Statistics Globe Hub is an ongoing learning program that helps you stay up to date with statistics, data science, AI, and programming using R and Python.
#quarto #rstats #datascience #reproducibility #reporting #statisticsglobehub
Check out the Statistics Globe Hub, an ongoing learning stream that helps you stay up to date with statistics, data science, AI, and programming using R and Python: statisticsglobe.com/hub
#RStats #python #datascience #Statistics #AI #statisticsglobehub
RStudio is a great tool and a big help when programming in R. However, for beginners, it can be a bit overwhelming.
More details: statisticsglobe.com/online-cours...
#data #rstudio #statisticians #analysis #data
You can still get access to all Statistics Globe Hub March modules by registering before the end of the month.
The visualization below shows some of the topics and graphs covered this month.
More info: statisticsglobe.com/hub
#Statistics #DataScience #RStats #Python #DataVisualization #AI
Compare multiple statistical models effortlessly with ggstats, a versatile extension package for ggplot2 that simplifies data visualization tasks.
Visualization: larmarange.github.io/ggstats/arti...
More: statisticsglobe.com/online-cours...
#datastructure #statisticalanalysis #statisticians #data
Automating report creation can save a significant amount of time, especially when reports need to be updated regularly.
New module in the Statistics Globe Hub that focuses on creating reports with Quarto in R: statisticsglobe.com/hub
#rstats #datascience #statistics #quarto #reporting
The Wiener process is a key mathematical model used to describe random movement in continuous time and space.
Image: en.wikipedia.org/wiki/Random_...
More details: statisticsglobe.com/random-walk-r
#rprogramminglanguage #statistical #businessanalyst
I recently published a Statistics Globe Hub module where I explain feature selection using random forests, including practical examples and exercises.
More information about the Statistics Globe Hub: statisticsglobe.com/hub
#rstats #machinelearning #datascience #statistics #statisticsglobehub
When replacing missing values with predicted values, it is important that these values reflect the variability in the real data, not just the fitted trend.
See this link for additional information: statisticsglobe.com/online-cours...
#datastructure #statistics #bigdata
Today, I released a new module in the Statistics Globe Hub that explains how to perform sample size calculation using power analysis.
More info about the Statistics Globe Hub: statisticsglobe.com/hub
#rstats #datascience #statistics #poweranalysis #samplesize #studyplanning #statisticsglobehub
If you regularly create visualizations in R, the tidyplots package is worth exploring.
The figure below shows examples from the tidyplots website: tidyplots.org
I recently released a new Statistics Globe Hub module about tidyplots: statisticsglobe.com/hub
#rstats #datascience #tidyverse
Looking to take your data visualization to the next level? The ggdist package extends ggplot2 with specialized tools for visualizing distributions, uncertainties, and comparing data groups.
Visualization: mjskay.github.io/ggdist/
statisticsglobe.com/online-cours...
#tidyverse#package#bigdata
Creating presentations can be time-consuming.
In my new video, I show how to make this process much more efficient by creating slides with Quarto and refining them afterward in ONLYOFFICE. Thanks to ONLYOFFICE for sponsoring the video.
www.youtube.com/watch?v=px1M...
#rstats #datascience #quarto
Looking to visualize distributions clearly and effectively? The ggdensity package enhances ggplot2 in R by simplifying the creation of appealing density plots.
Example taken from the official package website: jamesotto852.github.io/ggdensity/
#tidyverse #datastructure #dataviz #rstats #ggplot2
