recharts VS d3

Chartjs looks great, but I've never used it so can't recommend personally. I've used https://recharts.org a lot with success.

We first build the dashboard page where we present stats for relevant KPIs in cards, charts and a table. We use the React-based Recharts library for plotting our data.

Hi all, I am one of the (few) current maintainers of the relatively popular recharts charting library.

This library has more than 20K stars on GitHub and more than 1.3 million weekly downloads on NPM as of August 2023.

Recharts is another React charting library that simplifies creating charts by providing a wide range of chart components out of the box. It is built on top of D3.js but abstracts away the complexities, making it easier for React developers to create interactive and visually appealing charts and graphs. Recharts leverage the power of SVG (Scalable Vector Graphics) for rendering, allowing charts to be scalable and fit on any screen size.

Recharts is a charting library that allows you to create attractive and informative data visualizations.

The next scene I had in mind was an animated pie chart. There are so many charting libraries around that I was sure one of them would fit my needs. The pie chart below was rendered using recharts, utilizing its mount animation. To get the results, I recorded my screen like the first scene.

This is the last integration of this article, and maybe the most fun! A dashboard cannot be considered complete unless we show a chart or diagram to visually display information. For this part of the demo, we’ll use mui for the components and recharts for the graphs.

Repository: D3.js

Data Visualization Software is designed to help users create visual representations of their data. These tools are often used to create charts, graphs, and other visualizations that can help users understand their data better. Some popular Data Visualization Software includes Tableau, Power BI, and D3.js. Tableau and Power BI are both powerful data visualization tools, while D3.js is a JavaScript library for creating interactive data visualizations in the web browser. In summary, there are several types of data analysis software available, each with its own strengths and weaknesses. Statistical Analysis Systems are ideal for users who need to perform complex statistical analysis, while Business Intelligence Tools are designed to help users make better business decisions. Data Visualization Software is ideal for users who need to create visual representations of their data.

Interactive User Interface: Developing an interactive UI for visualizing the graph and its communities could make the summarization process more intuitive. Tools like D3.js or Cytoscape.js can be used to create dynamic visualizations.

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.