How to join this free online event with Yi-Chin Sunny Tseng, Pascal Burkhard, Yaoxiang Li and Hugo Gruson.
Contributing to open source can be very rewarding, but also incredibly intimidating.
When we asked about first time contributions on the rOpenSc...
Maintaining Community Trust and Safety
The rOpenSci community is supported by our Code of Conduct
with a clear description of unacceptable behaviors,
instructions on how to make a report,
and information on how reports are handled.
We, the Code of Co... [Read more...]
Three years in, I am still absolutely hooked on the Traitors (the TV series). Sure, yes, they stretch ten minutes of gameplay into sixty minutes of “you know I love you, but…” and the weirdly maddening attempts to make “yourself” a polite versio...
Introduction
Like alot of lecturers I’m teaching at the moment. If I have a presentation to do that’s mainly images I’ll use Powerpoint or Google Slides. If the presentation includes maths or code or both I used to use LaTeX Beamer. Over the years ...
E-mails are a surprisingly effective tool to
send out recurring reports/stats,
alert people that a long-running job finished,
or simply contact customers or other departments with user-specific information.
So in today’s video, I’m going to show you how the {blastula} package makes all of that possible for ...
In health research, a flowchart is the best way to show the flow of participants in a study when reporting results. But drawing flowcharts can be tedious to prepare and can get on your nerves. Fortunately, there are several packages in R for drawing flowcharts using different approaches. The problem ... [Read more...]
Pentomino Solution as igraph object
In this post, I’m taking deeper dive into a dataset of Pentomino puzzle solutions using R. This time, I’m switching gears from the sf package, but to explore graph theory concepts with tidygraph and ggraph. W...
Tidy data structure, messy data
Like families, tidy datasets are all alike but every messy dataset is messy in its own way. - Hadley Wickham
We often work with datasets where there is a unique identifier that can be used to link or filter the... [Read more...]
Introduction
As crazy as it may sound, the ADaM in R Asset Library • admiral {admiral} package is nearing its third CRAN birthday: our first release dates all the way back to 17th February 2022! Time really does fly when you’re programming ...
By eScience Fellow Eduard KlapwijkThis year I was finalizing and publishing one of my own research projects. My coauthors and I took many steps to make the project as reproducible as possible.Because I am setting up a codecheck workflow to check the re...
MetroNorth New Haven Line Stations
Introduction
Connecticut has long had some of the highest income and home prices in the US. Although home prices have trailed national rate of appreciation in recent decades, from a high starting ...
The post Best Prompt Engineering Books appeared first on Data Science Tutorials
Unravel the Future: Dive Deep into the World of Data Science Today! Data Science Tutorials.
Best Prompt Engineering Books, Prompt engineering is a rapidly growing field that focuses on crafting high-quality input prompts to elicit accurate and informative ... [Read more...]
According to the simulation results, MicroStrategy has had a positive trend with less volatility for the last ten years compared to AMAZON, which has had a negative trend with high volatility. Source code: [Read more...]
Introduction
In the dynamic world of clinical research, innovation and collaboration are key drivers of success. The NEST and ADaM in R Asset Library • admiral {admiral} teams exemplify this through their groundbreaking packages. By levera...
IntroductionIn the world of data analysis and statistical computing, R stands out as a powerful and versatile language. Its ability to handle complex data operations with ease makes it a favorite among data scientists, statisticians, and researchers. A...
The post Understanding Machine Learning and Data Science appeared first on Data Science Tutorials
Unravel the Future: Dive Deep into the World of Data Science Today! Data Science Tutorials.
Understanding Machine Learning and Data Science, In today’s digital age, the terms “Machine Learning” and “Data Science” have become buzzwords, ... [Read more...]
In the late 1970’s, people at Bell Laboratories designed the S programming language in order to facilitate interactive exploratory data analysis (Chambers 2016). Instead of writing, compiling, scheduling, and interpreting the output of individua...
Saving the sf Object (Pentomino Solutions) for Later Use as Parquet 📦
Confession time: I only discovered Parquet files last year. 🙈 For someone who spends a good chunk of their time in the data world, it felt like a secret club I wasn’t part of...