size-limit VS d3

However, you can use the Size Limit library to control the size of a bundle or individual exports. Here’s an example configuration:

It's always good to keep track of these things over time so performance doesn't slide. Parcel, which I used for this project, has a helpful bundle analyzer (similar to the one for Webpack) that gives a nice visual overview of a project's bundle. This is especially helpful for identifying bundled dead code coming from packages that could be avoided with tree-shaking. There are also plenty of tools you can integrate with CI to enforce bundle size.

TSDX is a great package for npm packages like this and even bundles with size-limit to check your gzipped final bundle size. Keeping a tiny package was really important to me so there are 0 dependencies and size-limit made me realise that simplifying all of my checking functions into 1 or 2 core functions that took options would be a better strategy and help reduce the code size.

Small. 130 bytes (minified and gzipped). No dependencies Size Limit controls the size.

Size Limit is a performance budget tool for JavaScript. It checks every commit on CI, calculates the real cost of your JS for end-users, and throws an error if the cost exceeds the limit. Link: https://github.com/ai/size-limit

-Mark Erikson and Joel Hooks talk on Redux -When and when not to reach for Redux -Redux Introduction -Egghead course by Dan Abramov on Fundamentals of Redux -RDD article by Tom Preston Werner -Another Article on RDD -Article on writing a great Readme -RDD Readme Example: size-limit

Yes this was done with a combination of GSAP Scrolltrigger https://gsap.com/docs/v3/Plugins/ScrollTrigger/ and https://d3js.org/

d3 - very power visualization library enabling dynamic visualizations. docs

Yep, Evidence is doing good work. We were most directly inspired by VitePress; we spent months rewriting both D3’s docs (https://d3js.org) and Observable Plot’s docs (https://observablehq.com/plot) in VitePress, and absolutely loved the experience. But we wanted a tool focused on data apps, dashboards, reports — observability and business intelligence use cases rather than documentation. Compared to Evidence, I’d say we’re trying to target data app developers more than data analysts; we offer a lot of power and expressiveness, and emphasize custom visualizations and interaction (leaning on Observable Plot or D3), as well as polyglot programming with data loaders written in any language (Python, R, not just SQL).

D3.js: A robust library to visualize your data and create interactive data-driven visualizations.

They are images so it could be any number of things, datawrapper, charts.js, d3.js to name a few options.

I made this interactive visualization that attempts to show the real-time frequency and location of births around the world. A country’s annual births (i.e. the country’s population times its birthrate) were distributed across all of the populated locations in each country, weighted by the population distribution (i.e. more populated areas got a greater fraction of the births). Data Sources and Tools Population and birthrate data for 2023 was obtained from Wikipedia (Population and birth rates). Population distribution across the globe was obtained from Socioeconomic Data and Applications Center (sedac) at Columbia University. Data is processed and visualized at a 1 degree x 1 degree resolution, each of which has a different probability of a birth occurring in a specific time period. D3.js was used to create the map elements and html, css and javascript were used to create the user interface.

When I go to the homepage of types/d3 the only hint for any kind of documentation is what seems to be the main github page of d3. It's highly possible I'm missing something here, so sorry if I am but I can't find any documentation of how you are supposed to type these library objects.

Website: D3.js official site

D3js