rhiever
Re:The Tufte Test: Teaching an AI Agent to Make Better Data Visualizat...
on Friday March 20, 2026 @12:09PM (#47456641)
AI agents can make data visualizations now. Ask Manus, Claude, or ChatGPT to chart a dataset and you'll get something back in seconds. The output is almost always... fine. Functional. Generic. The kind of chart that communicates data but doesn't communicate insight. In this post, I experimented with how to make AI agents visualize data better.
Re:The November 2025 AI Coding Surprise, Model by Model
on Friday February 20, 2026 @12:05PM (#47090663)
In November 2025, AI coding tools went from “halting and clumsy” to surprisingly capable. Suddenly they could produce whole, working apps from minimal instruction, in ways they simply couldn't before.
This experiment makes that shift visible. We gave 22 AI models the same exact prompt to build a working analog clock from scratch, then ran each model five times independently.
The November 2025 AI Coding Surprise, Model by Model
Does batting order matter in Major League Baseball? A simulation approach
Data-Driven Advice for Applying Machine Learning
Automated ML Competition Announced: Can AutoML Beat Humans on Kaggle?
Computing optimal road trips on a limited budget
TPOT: A Python tool for automating data science
A Data Science Approach to Writing a Good GitHub README
Spurious Extrapolations: What if U.S. college tuition costs keep rising?
The correct way to use pie charts
What data visualization tools do /r/DataIsBeautiful OC creators use?
Visualizing the efficacy of vaccines
Data Visualization Basics with Python video course released online today
TPOT: A Python tool that automates the building of Machine Learning pipelines
Re:An example Python machine learning notebook for newcomers
on Wednesday August 26, 2015 @08:46AM (#10122498)
Coffee... lots and lots of coffee. :-)
Re:An example Python machine learning notebook for newcomers
on Wednesday August 26, 2015 @08:45AM (#10122493)
Happy to hear it! I partly made this notebook to convert my coworkers and collaborations to a Pythonic workflow, so this is promising... :-)
Re:An example Python machine learning notebook for newcomers
on Wednesday August 26, 2015 @08:43AM (#10122483)
Very cool - thank you for pointing me to this!
Re:An example Python machine learning notebook for newcomers
on Tuesday August 25, 2015 @07:50PM (#10120216)
The native GitHub IPython Notebook viewer also doesn't support within-notebook linking, which can be fairly annoying when you spend an hour putting together a nice table of contents system.
An example Python machine learning notebook for newcomers
The code and process behind the famous New York Times weather chart
Re:Name Age Calculator
on Friday May 15, 2015 @01:10PM (#9551997)
Here's another version that normalizes for births per year: http://rhiever.github.io/baby-name-explorer/
Enjoy!
Re:Name Age Calculator
on Friday May 15, 2015 @01:09PM (#9551990)
I originally didn't smooth the data, but it looked way too jagged and crappy for many of the names. Ultimately, I erred on the side of aesthetics and sacrificed the ability to look up exact numbers in the graph. Rest assured, though, if you want the exact numbers you can download the underlying data of every graph with one of the links under the graph.
Re:Name Age Calculator
on Friday May 15, 2015 @01:06PM (#9551963)
Thank you for the kind words. :-) Although that app you linked is a bit different - it's showing when names were popular over time. This app goes one step further and calculates how many of those people are still alive and makes a best guess at how old someone is based solely on their first name.
I also made a version similar to the Baby Name Wizard that look solely at name popularity here: http://rhiever.github.io/baby-name-explorer/
And I suppose it's just a matter of aesthetics for which one you prefer in that case.
Cheers!
r
AI for the Threes game
Re:Python usage survey – now with pretty graphs and statistics
on Saturday January 31, 2015 @11:05AM (#8977023)