The Pudding

Exactly! I should probably have a section (or at least a link to a resource) that talks about _why_ you would want to learn this.

I have an image in the book detailing the spectrum of data viz tools on the web. At one end are the quick-pickup tools that aren't customizeable, and at the other end you have.. d3. Which isn't really a framework so much as a collection of tools that can help with making web charts.

What I probably failed to communicate in this post is that there are tons of opportunities to help communicate data with the web. Tooltips are just the most common interaction, but you could easily envision using scroll as a trigger, or adding a way to "zoom in" on parts of a chart.

The learning curve is definitely steeper, but once you have the skills, the world is really your oyster for visualizing data online. The pudding (https://pudding.cool/) is a great showcase of possibilities, or even uncommon chart types like at https://wattenberger.com/fishing

As someone who's interested in writing, I have noticed things changing over the last few decades so I was interested in the how the situation has evolved over time based on data. I dug this up:

Bias, She Wrote: The Gender Balance of The New York Times Best Seller list
https://pudding.cool/2017/06/best-sellers/

There seems to have been an inflection point in the 1990s, which the author posits is due to the rise of MFA degrees (2/3rds granted to women). Commercially, the gender ratio seems to have approached parity overall, even if in specific categories the large imbalances exists (owing to various factors, some self-selection effect exists). Even though commercial success seems to be at parity, the author posits that the publishing industry lags behind in reflecting this and that there remains a funnel bias in the industry (from critics to publishers).

Well I was *hoping* you'd pick up on many of the tropes of male-written femme characters brought out in that sub were applicable to the character mentioned above.

But here's an article to list some of the tropes out more explicitly:

https://baos.pub/what-happens-when-men-write-women-b89bf325c18b

I admit I'm not very familiar with the Monkey Island series but literally the first paragraph of the Wikipedia article for it points out that the primary purpose of this character is to be the primary love interest of the (male) protagonist

Bonus, here's some really fun visualizations that I think you'd enjoy regardless of whether you agree with me or not :)

https://pudding.cool/2020/07/gendered-descriptions/

https://pudding.cool/2017/08/screen-direction/

https://pudding.cool/2017/03/film-dialogue/

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/

https://maxwelldulin.com/Resources - short summaries of highly technical security posts (4/wk)

https://portswigger.net/research - web security research from the geniuses at portswigger (1/wk)

https://googleprojectzero.blogspot.com/ - project zero's research (1/mo)

https://hn.invades.space/hn_gems_rss.xml - top links extracted from comments on top hn posts (85/wk)

https://kevinlynagh.com/ - posts regularly contain a great selection of links (1/mo)

http://www.paulgraham.com/ - classics (1/mo)

https://www.bellingcat.com/ - open source research (1/mo)

https://pudding.cool/ - art using web technology (1/wk)

https://www.experimental-history.com/ - psychology (1/wk)

Honestly in regards to data visualizations just look at others and copy them. For inspiration I heavily go to these two sites:

https://pudding.cool/

https://www.datasketch.es/

One of the people behind data sketches recently came out with a good book on how to think regarding data vizs (and making them unique):

https://www.visualcinnamon.com/chart/

Halfway through the book myself, lotta good techniques on how to think about visualizing data sets. Found it way more accessible than many of the more academic books.