d3-scale VS apexcharts.js

https://github.com/d3/d3-scale for the linear scale mostly

scale system

On the other hand, for the Y-axis, both charts present a scale with the same domain, ending in a nice round value (100). However, the number of ticks is different.

d3-scale Documentation

Let's start small and build axes. To build axes, we need to define scales first. Under the hood VisX uses d3, so we it's really useful to review d3 scales documentation. D3 will use math to help translate our numbers to pixel locations inside the container.

Before we render our horizontal axis, we have to remember about scales. Scales are functions that are responsible for mapping data values to visual variables. I don't want to dive too deep into this topic, but if you're interested in further reading, you can check out scales documentation. We want our x-axis to display labels from data, so for this we will use scaleBand.

We have used several utilities methods from d3 part of the scale module to correctly map our axis with the datas (scaleLinear, scaleBand). If you open your navigator you see now an svg element with two axis but no data yet.

Ah, sorry–misunderstood. Looking at your data it seems like you‘re mapping the raw values to color values, and you seem to have an extreme difference between values (high standard deviation). Try something like d3-scale to normalize the values and make them closer together (to be clear: you should still display the correct values to the user, but when visualizing them, you can use a more logarithmic scale to get a better color spread).

As a frontend dev who also works in UX and graphics from time to time, I find it helpful to be able to do both, looking at SVGs as both a vector graphics format and a human-readable XML. IME the workflow depends more on whether any SVG is meant to be illustrative (like art) or quantitative (like charts) or interactive and animated/mutable (like a game).

For something like this bell example (https://svg-tutorial.com/svg/bell), you can certainly hand-code it if you're really math-inclined and can estimate the formulas of curves just by looking at them, but for us mere mortals, it's easier to just draw out the curves in a graphics app then export as an SVG. And for things like the ringer (is that what you call it? the orange ball thing at the bottom of the bell that strikes the bell to make the sound), being able to visually draw it on a canvas, change its size, drag it around and play with its colors and dimensions, etc. is really helpful. Figma is fine for simpler graphics, but it's really more of a UX tool than a graphic design tool, and Illustrator is a lot more powerful. Inkscape is a FOSS option.

In other circumstances, though, manipulating the SVG XML directly is also very helpful. Let's say you want to programatically generate a bar chart. If you have a big dataset, it's going to take a designer forever to manually plot them and change them every time the data changes. But it's easy for a dev to use Javascript (or any language) to draw each rectangle, programmatically adjust their heights and colors based on the data, add tooltips, etc. And that way you can dynamically update them in real-time whenever the data changes (like if the user selects a different date range, or new events come in). A lot of this is made easier by libs like https://frappe.io/charts or https://apexcharts.com. But before you take that approach, you should know that for complex charts, sometimes Canvas rendering (or just generating graphics in the backend) can be more performant than SVG.

SVGs can also be animated and interactive, not just with CSS transitions but by directly manipulating the XML geometries, like http://snapsvg.io/demos/ or https://www.svgator.com/ or https://codepen.io/collection/XpwMLO/. This is fine for product pages and such, but for really graphics-intensive apps (full games) it's probably slower than other rendering pipelines. (Not my specialty, won't speculate too much.)

TLDR Drawing them in a graphics app is usually easier for the designers, but the XML can be programmatically manipulated afterward to great effect.

ApexCharts is a modern charting library that helps developers to create beautiful and interactive visualizations for web pages. It is an open-source project licensed under MIT and is free to use in commercial applications.

tradingview.com for the chart... but also apexcharts.com is a decent open source library whereas TV is not open source

ApexCharts: https://apexcharts.com/ Easy integration with Vue.

1. Apex Charts