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In missing data imputation, it is crucial to compare the distributions of imputed values against the observed data to better understand the structure of the imputed values.

The visualization below can be generated using the following R code:

library(mice)
my_imp <- mice(boys)
densityplot(my_imp)

Take a look here for more details: statisticsglobe.com/online-wor

Avoiding text overlap in plots is essential for clarity, and R offers a great solution with the ggplot2 and ggrepel packages. By automatically repositioning labels, ggrepel keeps your plot clean and easy to interpret.

Video: youtube.com/watch?v=5lu4h_CPhi0
Website: statisticsglobe.com/avoid-over

Take a look here for more details: statisticsglobe.com/online-cou

Il 2024 è stato l’anno di Linux… su Pornhub
#linux #StatisticalAnalysis #UnoLinux

Ogni anno il famoso sito per adulti Pornhub pubblica le statistiche annuali di utilizzo del sito. Fra le tante metriche prese in considerazione c’è quella relativa ai sistemi operativi più utilizzati dai suoi utenti. Il 2024, così come il 2023, ci da un fornito un dato statistico molto importante per noi pinguini.

marcosbox.com/2024/12/11/il-20

Marco's Box · Il 2024 è stato l’anno di Linux… su Pornhub - Marco's BoxOgni anno il famoso sito per adulti Pornhub pubblica le statistiche annuali di utilizzo del sito. Fra le tante metriche

Hypothesis testing is a key statistical method that allows us to draw conclusions about populations based on sample data. Choosing the right test is essential for obtaining accurate and reliable results.

Interested in learning more? Check out my online course on Statistical Methods in R, starting September 9, 2024, where we dive deeper into hypothesis testing and other key statistical methods: statisticsglobe.com/online-cou

The Kruskal-Wallis test is a non-parametric method used to determine if there are statistically significant differences in the distributions of three or more independent groups based on ranks. Unlike ANOVA, it does not assume a normal distribution, making it versatile for analyzing non-normally distributed data sets.

Visualization: en.wikipedia.org/wiki/Kruskal%

Consider joining my online course: statisticsglobe.com/online-cou

My Statistical Methods in R course kicked off yesterday, and we now have a group of 71 participants! I always find it interesting to analyze the group's statistics, so I wanted to share them with you.

Here are a few highlights:

- Total participants: 71
- Number of countries represented: 26
- Top 3 countries: USA (20), United Kingdom (11), Australia (7)

If you’d like to join, it’s still possible to enroll: statisticsglobe.com/online-cou