Hi HN,I just launched data-to-art.com, a curated online gallery focused on data driven art.The site showcases artists who take real datasets and transform them into visual works that visually appealing or intriguing.It's a side project to highlight a different relationship with data. I work in the field of data visualization and just love this variation.I would love any feedback, and if you...
https://www.matplotlib-journey.com/bonus/design-principles
A quick game to test and sharpen your data visualization design skills.Choose the better chart in 17 head-to-head matchups & learn something new with each one!
https://www.matplotlib-journey.com
I've been using Matplotlib for years and even created python-graph-gallery.com to help people quickly build charts with Python.However, I’ve always struggled to grasp the "big picture" of how everything fits together.That's why I'm now working on a new project called Matplotlib Journey, and I’d love to get your feedback! My goal is to explain everything from scratch, so anyone can gain a true...
https://www.react-graph-gallery.com/react-d3-dataviz-course
D3.js is the leading library for dataviz on the web. React is the most widely used framework for building UIs.But making them work together is notoriously difficult.I spent five years creating custom charts for Datadog. I published hundreds of examples in the React Graph Gallery.Today I'm releasing a comprehensive set of - 11 modules - 50+ lessons - 40+ exercises to offer a complete guide on...
https://python-graph-gallery.com/color-palette-finder/
Finding a good color palette for a chart is a struggle. Using the palette in a Matplotlib chart is not easy.We just created a Python library called pypalettes that references 2500+ color palettes. You can use any of them with 1 line of code.We also built an app to efficiently explore all of them and find the perfect match!
Tired of hearing doubts about matplotlib's capabilities, I've curated and translated a collection of impressive charts using Python and matplotlib.
Explore them all with detailed tutorials and reproducible code at:
https://python-graph-gallery.com/best-python-chart-examples/
https://python-graph-gallery.com/best-python-chart-examples/
I see so many beautiful charts made with R. And not that many made with Python.So I wanted to prove that it was doable with Python too! I wrote 22 tutorials to create stunning charts I love with Matplotlib.Why are R people creating more polished charts??
I will write more about performance soon. But using several layers of canvas is definitely the way to go in most situation to put it in a nutshell
I like react-spring but there are sooo many approached. All with pros and cons.
I'll write more about it soon!
D3.js is split in 2 types of functions:
- "math" - rendering
Math functions cannot be avoided for sure
d3-graph-gallery.com
www.r-graph-gallery.com
D3.js comes with function that modify the DOM. This is react job too. So using both together can be a challenge.
For d3.js AND react, it is missing for now IMO
The website is made using Next.JS
The approach is kind of in-between what I suggest and what a classic JS library like Vega does.
It is definitely a very good abstraction imo!! But I'm always scared to be stuck with a customisation I cannot do because of a layer of abstraction.