moment VS d3

Moment.js lets you do amazing things with dates and times in JavaScript. You can easily compare, change, and format them in different ways. For example, you can say things like "today is Monday" or "3 hours ago" or "12/31/2020". To start with Moment.js, you need to install it and import it into your JavaScript project. For example:

To learn more about Moment.js, please visit their official website.

Ah, Moment.js, the guardian angel of date and time manipulation. Ever needed to format a date, calculate durations, or display something like "2 days ago"? Moment.js has got your back. It's a lifesaver for anything date and time-related, making it a must-have in your project, especially if you're into making your users feel like you really get them.

After hours of trying to figure out why Jekyll was still showing "Today" for a post I modified last week, I remembered that I am using the timeago filter from jekyll-timeago plugin. I was rendering the dates using {{ doc.last_modified_at | timeago }}. As you know, Jekyll is a static site generator, and it renders this as HTML at the time of build, and only then. This means any date rendered with timeago is hardcoded as is in the HTML and won't change until the next build. I switched all the dates to the "%-d %b %y" format for now. Might use moment.js in the future to get the timeago dates back.

moment: Handles date and time manipulations with ease. Learn more

For the longest time working with dates in JavaScript was a huge pain. That’s why libraries such as moment.js or date-fns are so popular. A lot of times I’d reach for these libraries when working with relative time formatting, but since late last year we’ve had pretty great browser support for the RelativeTimeFormat() method. In my mind, relative dates are just more visually appealing, especially for working with dates internationally. Dates like "5 days ago" or "in 2 months" are far more intuitive for users than 12/12/2023, or 03/11/2027. Folks in the US will see that as March 11, 2027, whereas the rest of the world will see that as November 03, 2027. What a nightmare.

İ am using moment js for a long time. You can check it also. https://momentjs.com/

We could control the DST flip by setting the test's input time to the appropriate time of year (summer/winter). However we couldn't control the timezone. We had to adjust the expected data in the test 🤢 using the same library which the production code used (momentjs).

8. Moment.js

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