Simple guide for simple shiny application  TL;DR I made shiny application in github page with quarto. You can check code in my github repository and result, result2 How we use shiny Shiny is R package to make user utilize R with web browser without install it. So my company ...

Introduction When it comes to conveying information effectively, data visualization is a powerful tool that can make complex data more accessible and understandable. One captivating type of data visualization is the lollipop chart. Lollipop char...

Introduction Data visualization is a powerful tool for understanding the relationships between variables in a dataset. One of the most common and insightful ways to visualize correlations is through heatmaps. In this blog post, we’ll dive into t...

Introduction Data and hypotheses ANOVA by hand Overall and group means SSR and SSE ANOVA table Conclusion of the test Conclusion Introduction An ANOVA is a statistical test used to compare a quantitative variable between groups, to determine if there is a statistically significant difference between several population means. In ...

The Royal Statistical Society International conference is next week from 4-7 September 2023, hosted in Harrogate. Jumping Rivers are exhibiting at the conference, as well as delivering workshops a...

The regional R/Basel event took place at Roche on 21/07: Our presentation and impressions. R/Basel 2023 is an useR! regional event that took place at Roche main campus. The agenda with talks and presentations can be found at the following link. Base...

Intro/Overview Today’s TidyTuesday concerns US copyright law. Fair use is the right to use copyrighted materials in some instances. Fair use law isn’t always clear, and there is often litigation to decide whether something is fair use. This week’s TidyTuesday uses a data set created by ...

Introduction Categorical data is a type of data that represents distinct groups or categories. Visualizing categorical data can provide valuable insights and help in understanding patterns and relationships within the data. In this blog post, we...

I keep hearing the assertion that “writing APL/Haskell/etc… makes you think differently” and I kept wondering why I agreed with the statement but at the same time didn’t think too much of it. I believe I’ve figured out that it’s because I happened to h...

I’m still behind on TidyTuesday, so here is TidyTuesday #34, which deals with refugee data. This data is collected by the United Nations High Commissioner for Refugees and the R package is updated twice a year. Loading Data and Libraries Librarie...

About ‘Econometric Analysis of Panel Data’ (ISBN 978-3-030-53952-8) provides up-to-date coverage of basic panel data techniques, illustrated with real economic applications and datasets. However, importing the original data from the book into R ...

Introduction Are you tired of looking at plain, vanilla histograms that just show the distribution of your data without any additional context? If so, you’re in for a treat! In this blog post, we’ll explore a simple yet powerful technique to tak...

Another one from the Leetcode challenge. This time, get the elements (single values) from the matrix in a spiral order with a starting position of [1,1]. So, the basic idea is to retrieve a vector of elements from a matrix…Read more ›

Quit “storytelling with data”. There’s a reason your data visualizations aren’t working. Hear me out. If you’re a data scientist or data analyst who wants to get an executive to stop from looking at his phone and to start looking at your slide deck OR ...