#statisticsclass — Public Fediverse posts

I recently discovered the tidyplots package in R, and it’s impressive how effortlessly it enables you to create beautiful, publication-ready plots.

The example visualizations shown here were created by the package author, Jan Broder Engler, and are featured on the tidyplots website: https://jbengler.github.io/tidyplots/

Click this link for detailed information: https://statisticsglobe.com/online-course-data-visualization-ggplot2-r

#statisticsclass #datavisualization #advancedanalytics #rprogramminglanguage #visualanalytics #package #tidyverse

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: https://statisticsglobe.com/online-course-r-introduction

#advancedanalytics #data #package #datasciencecourse #statisticsclass #rprogramminglanguage

Basic boxplots are often not the best way to visualize your data! They can hide important information, such as the distribution of individual data points or group-specific differences.

The attached visual showcases several ways to enhance boxplots.

All of these examples were created using ggplot2 and extensions in R.

Click this link for detailed information: https://statisticsglobe.com/online-course-data-visualization-ggplot2-r

#statisticsclass #datavisualization #advancedanalytics #rprogramminglanguage #visualanalytics #package

> Probability is expectation founded upon partial knowledge. A perfect acquaintance with all the circumstances affecting the occurrence of an event would change expectation into certainty, and leave neither room nor demand for a theory of probabilities.
https://gutenberg.org/ebooks/15114
#Boole #GeorgeBoole #StatisticsClass #GutenbergEbook

If you're looking to master Deep Learning, following a structured roadmap is key to navigating this advanced and ever-evolving field.

I came across this roadmap on the AIGENTS website, and what really stands out is its interactive format. Each element is clickable, offering AI-powered insights and resources that make it easier to dive deeper into each topic. Check out this link for more details: https://aigents.co/learn/roadmaps/deep-learning-roadmap

#statisticsclass #pythonprojects #datascienceeducation

If you're looking to master Deep Learning, following a structured roadmap is key to navigating this advanced and ever-evolving field.

I came across this roadmap on the AIGENTS website, and what really stands out is its interactive format. Each element is clickable, offering AI-powered insights and resources that make it easier to dive deeper into each topic. Check out this link for more details: https://aigents.co/learn/roadmaps/deep-learning-roadmap

#statisticsclass #pythonprojects #datascienceeducation

If you're looking to master Deep Learning, following a structured roadmap is key to navigating this advanced and ever-evolving field.

I came across this roadmap on the AIGENTS website, and what really stands out is its interactive format. Each element is clickable, offering AI-powered insights and resources that make it easier to dive deeper into each topic. Check out this link for more details: https://aigents.co/learn/roadmaps/deep-learning-roadmap

#statisticsclass #pythonprojects #datascienceeducation

If you're looking to master Deep Learning, following a structured roadmap is key to navigating this advanced and ever-evolving field.

I came across this roadmap on the AIGENTS website, and what really stands out is its interactive format. Each element is clickable, offering AI-powered insights and resources that make it easier to dive deeper into each topic. Check out this link for more details: https://aigents.co/learn/roadmaps/deep-learning-roadmap

#statisticsclass #pythonprojects #datascienceeducation

If you're looking to master Deep Learning, following a structured roadmap is key to navigating this advanced and ever-evolving field.

I came across this roadmap on the AIGENTS website, and what really stands out is its interactive format. Each element is clickable, offering AI-powered insights and resources that make it easier to dive deeper into each topic. Check out this link for more details: https://aigents.co/learn/roadmaps/deep-learning-roadmap

#statisticsclass #pythonprojects #datascienceeducation

> The term histogram was first used by Karl Pearson in his 1895 lectures on statistical graphics. The stem-and-leaf plot, which is a variant of the histogram, was introduced by the U.S. statistician John Tukey in 1970. In the words of Tukey,
> “Whereas a histogram uses a nonquantitative mark to indicate a data value, clearly the best type of mark is a digit.”
#JohnTukey in #SheldonMRoss #IntroductoryStatistics #StatisticsClass #Histogram #StemAndLeafPlot

Decision trees are a powerful tool in data science for making decisions and predictions based on data. They work by splitting data into branches based on specific criteria, allowing for clear and interpretable decisions. When used correctly, decision trees can significantly enhance the accuracy and interpretability of models.

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

#datasciencecourse #dataanalytics #statisticsclass

The Standard Error measures how much a sample statistic, like the mean, is expected to vary from the true population parameter. It helps us understand the precision of our estimates and how much confidence we can place in our results.

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

#datasciencecourse #dataanalytics #statisticsclass

Never thought about dice before, how "snake eyes" should be as probable as 12s and much less than 7s... Vague rainy Saturday so I started putting those musings into Racket with Graphite, Scribble and `random. I guess stay-at-home days are needed/healthy every one in a while...
> the theory of.. probability... unsavoury origin.. from... nobility of France.. competing in a race to ruin at the gaming tables.
https://codeberg.org/bsmall2/statistics-class-notes
#RacketLang #StatisticsClass #GoofingWithCoding #RaceToRuin

I've recently discovered a really useful R package by Jan Broder Engler called tidyheatmaps.

Full guide: https://jbengler.github.io/tidyheatmaps/

#DataAnalytics #database #RStats #Rpackage #statisticsclass #DataScience

Hey, I've created a video tutorial on how to extract the first & last N columns from a pandas DataFrame using the Python programming language: https://m.youtube.com/watch?v=t2lMKhfen9M&feature=youtu.be

#statisticsclass #pythonforbeginners

Hey, I've created a video tutorial on how to add a column to a DataFrame using the pandas library in the Python programming language: https://m.youtube.com/watch?v=x5JHATL3nis&feature=youtu.be

#statisticsclass #pythonprogramming #statisticians