website VS data_to_viz

Graphics programming analysis done using examples written in WebGL–genius. Hypertext that takes full advantage of the medium. This reminds me of something I'd see on https://pudding.cool/, but it goes far more in depth than anything there. Absolutely fantastic article.

I've been using MSAAx4 in my rendering engine for some time and only recently have considered switching to a FXAA / TAA implementation. I'm actually not sure I'm going to go through with that now. I definitely learned a lot here, and will probably use the analytical approach for UI items, I hadn't heard about that anywhere.

Not often you see graphics-programming stuff on HN. For anyone interested in more graphics write-ups, this list of frame breakdowns is one of my favorite resources:

https://www.adriancourreges.com/blog/

I think NY Times started long back and this style was kinda "cool" that goes well with the narrative. Then, there is https://pudding.cool that does this pretty well. Now, many just copy and tries without a meaningful treatment and is just there - kinda not working-out in most cases.

Tip: Try reading with Reader Mode.

Also check out https://pudding.cool if you’re unfamiliar and enjoy extremely high effort visualizations alongside editorial and educational text content.

Hello all, I am a JS beginner and I am passionate for creating data-driven stories on a website, like Pudding. I have watched some YT videos and learned that Python is a basic skill for dealing with data. However, I am confused about what Python does in such website? I know JS and it libraries like D3.js are used for front-end development and interactive data display, then what's the role of Python? For the website backend (such as Django)? Or is used for data cleaning and analysis? Or others? Or python is not actually required for making a data-driven story website?

https://pudding.cool/ ?

The main reason why I've got interested in frontend is that (1) it seems to be a field that can be much more diverse and collaborative across different fields (ex: working with designers) and (2) it directly interacts with users. Interactive journalism, data visualization, data storytelling (as in The New York Times or The Pudding) are my main interests currently, so it is more accurate to say I got interested in frontend with focus on those specific fields.

pudding.cool, statistical analysis of things like rap lyrics

Maybe you refer to [1]? These are the two options I like to show students who first get in touch with data visualization.

[1] https://www.data-to-viz.com/

Here's a wonderful example: https://www.data-to-viz.com/

For plotting data, from Data to Viz is a great resource if you're comfortable (or willing to learn) using R or Python for data visualization. Even if you don't want to learn those, it's a great place to go for inspiration. https://www.data-to-viz.com/

Use data-to-viz https://www.data-to-viz.com/ for you data visualization needs. My guess is you’re looking for an UpSet plot.

also, the link I sent you has some code snippets for different kind or representations - https://www.data-to-viz.com/

If you want some suggestions for chart types, https://datavizcatalogue.com/search.html or https://www.data-to-viz.com/ might be helpful. You seem to need two types; a part-of-a-whole chart and a comparison chart. Some of your data is categorical, some is numerical. Those constraints should be sufficient to narrow down your choices.