So my wife is trying to do some grading using Google Sheets, and she's got a situation where she asks it to sum(a1:a5) or whatever it sometimes gives absolutely wrong answers, and sometimes not. like it was showing the sum of a bunch of integers was 53.5 or something like that, actual answer was 62 or something similar. Completely unhinged, but not consistent either, some rows were fine, others were garbage.
I spent last night to build this fun Shinylive app - Forecasting Sandbox 😎
The app provides a simple sandbox for three simple forecasting models - Linear regression, ARIMA, and Holt-Winters, and it entirely runs on the browser!
I am planning to deploy it to Github Actions and create a tutorial (WIP) 👇🏼
R programmers in The Netherlands, you may be interested in this event with Jenny Bryan about R package development. It is an honour to have her in Utrecht so I hope more people can benefit from this in person opportunity!
I don't suppose there are any freelance #DataAnalysts interested in mentoring an apprentice middle-aged queer guy with a spotty work history, #MentalIllness and an absolute loathing of and revulsion to traditional performative job interviews (blind dates on steroids), knowledge quizzes, and milquetoast linkedin-style "networking", are there? Yeah, didn't think so. But I've already written all of this so here you are.
I have a solid history working with spreadsheets, relational databases, rudimentary knowledge of PHP and Python. At a previous employer I designed and programmed custom scripting for multiple variable data printing projects. I was enrolled in Google's "Data Analyst" training on Coursera but unfortunately can't afford the monthly fees to continue.
The caveat is you would need to meet or exceed my current generous retail salary of $15/hr. Try me for a week. If you aren't satisfied, just assassinate me in lieu of payment.
Over the past couple years I've been doing more statistical consulting, and I just wrote a blog post about making effective requests for statistics help.
Closely inspired by Caitlin Hudon's data intake form, but specialized somewhat to research/consulting settings.
With this one the thrust is basically there are a number of "seemed like a good idea at the time" type approaches to reusing data analysis work that deliver benefit in the short term, but will get you absolutely wrecked by complexity and technical debt over the long term. I have found only one scalable way to manage the complexity of building data science capability. Yes it involves writing lots of packages 📦 📦 📦 📦 📦 😅
Pre-job-ad announcement: soon advertising 2 x 3-year research posts to work with me & Ethical Data Initiative at the Technical University of Munich (really fun & supportive environment!). Closing date for applications 1st April, start in September. Pls spread the word! Details coming v soon #philsci#sts#hps#DataScience#dataethics
We are excited to announce that Wes McKinney has joined Posit!
When we changed our name to Posit, our goal was to unify efforts around creating great tools for #datascience, regardless of language, and working with Wes is a huge step forward in realizing that dream.
🛠️ Four ways to streamline R workflows @nrennie
🤔 Case for a new pipe assignment operator @davidhughjones
🎙️ Our responses to the unexpected departure of @yihui from Posit