D3 allows you to bind arbitrary data to a Document Object Model (DOM), and then apply data-driven transformations to the document. For example, you can use D3 to generate an HTML table from an array of numbers. Or, use the same data to create an interactive SVG bar chart with smooth transitions and interaction.
D3 is not a monolithic framework that seeks to provide every conceivable feature. Instead, D3 solves the crux of the problem: efficient manipulation of documents based on data. This avoids proprietary representation and affords extraordinary flexibility, exposing the full capabilities of web standards such as HTML, SVG, and CSS. With minimal overhead, D3 is extremely fast, supporting large datasets and dynamic behaviors for interaction and animation. D3’s functional style allows code reuse through a diverse collection of official and community-developed modules.
Powerful Visualization
D3.js allows for the creation of highly customized and interactive data visualizations, harnessing the full power of web standards like SVG, Canvas, and HTML.
Data Binding
It offers robust support for data-driven transformations and binding, enabling intuitive connections between data sets and DOM elements.
Community and Ecosystem
A large and active community contributes to tutorials, plugins, and tools, which can significantly simplify the development process.
Flexibility
D3.js is highly flexible, providing low-level manipulation capabilities without being tied to any specific chart types or patterns.
Performance
It is highly optimized for performance, allowing for efficient rendering of complex visualizations even with large data sets.
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Yes, D3.js is a highly regarded library for data visualization in the web development community.
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Check the traffic stats of D3.js on SimilarWeb. The key metrics to look for are: monthly visits, average visit duration, pages per visit, and traffic by country. Moreoever, check the traffic sources. For example "Direct" traffic is a good sign.
Check the "Domain Rating" of D3.js on Ahrefs. The domain rating is a measure of the strength of a website's backlink profile on a scale from 0 to 100. It shows the strength of D3.js's backlink profile compared to the other websites. In most cases a domain rating of 60+ is considered good and 70+ is considered very good.
Check the "Domain Authority" of D3.js on MOZ. A website's domain authority (DA) is a search engine ranking score that predicts how well a website will rank on search engine result pages (SERPs). It is based on a 100-point logarithmic scale, with higher scores corresponding to a greater likelihood of ranking. This is another useful metric to check if a website is good.
The latest comments about D3.js on Reddit. This can help you find out how popualr the product is and what people think about it.
Do you mean something for data visualization, or tricks condensing large data sets with cursors? https://d3js.org/ Best of luck =3. - Source: Hacker News / 3 months ago
Document address: D3.js Official Document. - Source: dev.to / 6 months ago
D3.js: One of the most popular JavaScript visualization libraries. - Source: dev.to / 8 months ago
A Dependency is an npm package that our code depends on in order to be able to run. Some popular packages that can be added as dependencies are lodash, D3, and chartjs. - Source: dev.to / 8 months ago
RacingBars is an open-source, light-weight (~45kb gzipped), easy-to-use, and feature-rich javascript library for bar chart race, based on D3.js. - Source: dev.to / 10 months ago
Built on Recharts, which is based on D3. - Source: dev.to / 11 months ago
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... - Source: dev.to / about 1 year ago
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. - Source: dev.to / about 1 year ago
Yes this was done with a combination of GSAP Scrolltrigger https://gsap.com/docs/v3/Plugins/ScrollTrigger/ and https://d3js.org/. - Source: Hacker News / about 1 year ago
d3 - very power visualization library enabling dynamic visualizations. docs. - Source: dev.to / about 1 year ago
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... - Source: Hacker News / over 1 year ago
They are images so it could be any number of things, datawrapper, charts.js, d3.js to name a few options. Source: over 1 year ago
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... Source: over 1 year ago
Recharts is a composable charting library built on React components and D3.js. It contains API’s which allow you to easily add 11 different highly configurable chart types to your React application. Recharts is one of the most popular React.js charting libraries with over 20k likes on GitHub. - Source: dev.to / almost 2 years ago
For random, quick and dirty, ad-hoc plotting tasks my default is GNUPlot[1]. Otherwise I tend to use either Python with matplotlib, or R with ggplot2. I keep saying I'm going to invest the time to properly learn D3[4] or something similar for doing web-based plotting, but somehow never quite seem to find time to do it. sigh [1]: http://www.gnuplot.info/ [2]: https://matplotlib.org/ [3]:... - Source: Hacker News / almost 2 years ago
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... - Source: dev.to / almost 2 years ago
I won't go into much detail about how to use D3.js so if you want to find out more I encourage you to visit their website. In short, we fetch all the nodes and edges from the database and add them to an SVG element. The visual representation of the graph is made by simulating how physical forces act on particles (charge and gravity). You can drag and drop the nodes, hover over them to see the value of their... - Source: dev.to / almost 2 years ago
Well, MathML[1] support is (nearly) everywhere now, and as the docs say: MathML Core is a subset with increased implementation details based on rules from LaTeX and the Open Font Format. It is tailored for browsers and designed specifically to work well with other web standards including HTML, CSS, DOM, JavaScript. I don't have a lot of experience working with this stuff (yet) but if you can script your... - Source: Hacker News / almost 2 years ago
Now that you have some results, it's time to visualize them. To do so, you will use D3.js, a JavaScript library for manipulating document-based data. If you want to learn more about D3.js, you should visit their official website. - Source: dev.to / almost 2 years ago
In exported our conversation on signal via signal export and used d3 to plot the data. Annotations were added in figma. Source: almost 2 years ago
I’ve built things like this using d3 with angular components. https://d3js.org/. Source: about 2 years ago
Public Opinion on D3.js: A Synopsis
D3.js, an abbreviation for Data-Driven Documents, is widely regarded as one of the most powerful JavaScript libraries for creating dynamic and interactive data visualizations. As an open-source tool, D3.js has gained substantial traction in the developer community, owing to its versatility and ability to leverage web standards such as HTML, SVG, and CSS for rendering complex graphics. Public discourse around D3.js predominantly emphasizes its customization capabilities and how it outshines many competitors when sophisticated data-driven transformations are required.
Strengths of D3.js
One of the primary merits of D3.js is its unparalleled flexibility and customization potential. The library is referred to as more of a framework than a typical library, providing developers with the tools to influence document structures based on data changes. This adaptability, combined with its dynamic behavior for animations and interactions, offers developers the freedom to create intricate visuals from the ground up, without being constrained by pre-defined chart types or styles.
Additionally, the robust module ecosystem within D3.js encourages code reuse and significantly aids in debugging by utilizing the in-built browser inspector. The declarative approach further reduces the coding effort needed to accomplish these tasks, positioning D3.js as a vital resource in toolkits of developers who prioritize detailed and interactive visualizations. High-profile projects and forks on GitHub attest to its prominent position in the global tech landscape.
Challenges and Considerations
Despite its strengths, D3.js's complexity is a double-edged sword. Many users find the library challenging to master due to its steep learning curve, especially when compared to libraries like Chart.js or Highcharts, which offer a simpler, albeit more limited, usage experience. The library’s less-than-optimal compatibility with TypeScript is another notable disadvantage that often discourages developers who prefer or need to utilize this typing framework for large-scale projects.
Furthermore, leveraging D3.js requires a good understanding of JavaScript, and in many cases, the skill to handle the intricacies of the Document Object Model (DOM) and Scalable Vector Graphics (SVG). These prerequisites can alienate less experienced developers or those without a deep programming background, who might not have the time or resources to invest in learning the nuances of D3.js.
Market Position and Comparisons
In comparison to its competitors, such as Plotly, Google Charts, and Highcharts, D3.js is frequently highlighted for its superiority in low-level data manipulation and custom visualization capabilities. While other tools offer pre-built chart types and often prioritize ease of use, D3.js is the go-to choice for those who need extensive customization and control over every aspect of the visual element creation process.
Collaborations with newer frameworks, as seen in extensions like Recharts, demonstrate D3.js's ongoing relevance and its foundational role in advancing the capabilities of modern data visualization technologies. Recharts, for instance, simplifies the process by abstracting complexities, which is especially appealing to React developers.
Conclusion
In summary, D3.js is revered for its flexibility, power, and ability to produce sophisticated visualizations for web applications, making it a frequent choice for data-driven visual communication. However, its complexity and need for in-depth JavaScript knowledge present significant barriers to entry for some developers, suggesting that its use is best suited for scenarios where bespoke data visualization rather than rapid development is the primary goal.
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