Top 10 Data Visualization Tools with Node.js

Mertcan Arguç
6 min readJul 29, 2023

Data visualization is the process of representing large amounts of data in meaningful charts, graphs, and tables to present them interactively. Node.js, an open-source, high-performance JavaScript runtime, hosts a variety of excellent tools for data visualization. In this article, we will explore the top 10 data visualization tools compatible with Node.js, along with code examples for each tool.

1. D3.js

D3.js is arguably one of the most popular tools for data visualization with Node.js. It enables transforming data into impressive charts using HTML, SVG, and CSS. D3.js is well-known for its rich feature set, powerful selection, and data management capabilities. It is often used for creating custom visualizations.

Example: Line Chart

<!DOCTYPE html>
<html>
<head>
<script src="<https://d3js.org/d3.v7.min.js>"></script>
</head>
<body>
<svg width="400" height="300"></svg>
<script>
const data = [
{ x: 0, y: 5 },
{ x: 1, y: 9 },
{ x: 2, y: 7 },
{ x: 3, y: 12 },
{ x: 4, y: 6 },
];
const svg = d3.select("svg");
const width = +svg.attr("width");
const height = +svg.attr("height");
const xScale = d3.scaleLinear().domain([0, d3.max(data, d => d.x)]).range([0, width]);
const yScale = d3.scaleLinear().domain([0, d3.max(data, d =>…

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