R-bloggers

In the era of data-driven decision making, the ability of businesses to communicate complex information effectively has never been more critical. Yet, as companies navigate through vast oceans of data, the challenge of not just analyzing but also presenting this data in a coherent, consistent, and compelling manner is a ...

If you’re looking to take your R data visualization skills to the next level, interactivity is the name of the game. There aren’t too many packages that offer it out of the box, but you don’t need quantity if you have quality. Highcharts is among the most ...

Introduction Visualizing similarities between data points can be tricky, especially when dealing with many features. This is where multidimensional scaling (MDS) comes in handy. It allows us to explore these relationships in a lower-dimensional ...

Introduction Visualizing similarities between data points can be tricky, especially when dealing with many features. This is where multidimensional scaling (MDS) comes in handy. It allows us to explore these relationships in a lower-dimensional ...

Intro I have this package on CRAN called {chronicler} and last month I got an email from CRAN telling me that building the package was failing, and I had two weeks to fix it. I immediately thought that some dependency that my package depends on got updated, and somehow broke ...

Introduction Today, we’re diving into a fundamental data pre-processing technique: scaling values between 0 and 1. This might sound simple, but it can significantly impact how your data behaves in analyses. Why Scale? Imagine you have data on ...

As a researcher, I remember the frustration of wrestling with clunky graphing tools. My results deserved better than the generic charts I could produce. Then, I discovered ggplot2. The ability to layer elements, customize visuals, and follow intuitive logic changed how I presented data. It even changed how I thought ...

There is no better way to kill a party than by discussing data storage. SQL? Or Native Objects. Choose your poison. The post Party Buzz Kill: Data Storage appeared first on Mark Niemann-Ross.

There is no better way to kill a party than by discussing data storage. SQL? Or Native Objects. Choose your poison. The post Party Buzz Kill: Data Storage appeared first on Mark Niemann-Ross.

#169–170PuzzlesAuthor: ExcelBIAll files (xlsx with puzzle and R with solution) for each and every puzzle are available on my Github. Enjoy.Puzzle #169In todays challenge we have certain pattern to extract from given texts. As you may notice I really li...

With ShinyConf 2024 just around the corner, first-time attendees may find themselves grappling with a mix of excitement and uncertainty. Fear not! This comprehensive guide aims to equip you with the tools and knowledge you need to prepare, thrive, and make the most out of your ShinyConf experience. Curious about what’...

Crafting compelling narratives often depends on presenting insights clearly and effectively. This skill is key for data science. For users of R’s {gt} package, it has provided a powerful and flexible way to create publication-quality tables in Quarto reports or Shiny apps such as clinical trial reports, research documents, ...

Introduction Data normalization is a crucial preprocessing step in data analysis and machine learning workflows. It helps in standardizing the scale of numeric features, ensuring fair treatment to all variables regardless of their magnitude. In ...

Introduction MLwiN from the Centre for Multilevel Modelling (CMM) at the University of Bristol (disclaimer: where I also work) is a fantastic piece of software (Charlton et al. 2024). The name suggests it only works on Windows, but as we’ll find out this is very much not the case. However, ...

 The adhan package is available here ! The prayer times cannot always be estimated accurately in some places such as countries located in higher latitudes (e.g. the Nordic countries) . as for instance during midsummer time the Fajr may b...