D3.js is a JavaScript-based interactive data visualization platform that comes with tools for manipulating documents based on data. D3 means Data-Driven Documents and is a widely popular platform for creating web-based data visualizations on the web. Its main author, Mike Bostock, is a New York Times graphics editor.
With D3.js, users are able to bring their data to life through HTML, SVG, and CSS. This data visualization system puts a premium on web standards, which enables users to enjoy the full capabilities of modern browsers without having to tie or subscribe to a proprietary framework. Simply put, D3.js incorporates powerful visualization components and a data-driven approach to DOM manipulation.
Show MoreD3.js is the data visualization platform of choice for many as it allows you to create the data visualization framework that you want. The tool is written JavaScript and utilizes a functional style that lets you reuse previous codes and put in more specific functions to your heart’s content. This results in data visualizations that are as powerful as you want to make them. You are in in the pilot seat, having total control on how to style, manipulate, and make interactive the data.
Compared to other JavaScript libraries, D3.js is highly flexible and is designed to work seamlessly with existing web technologies and can control any aspect of the document object model. It is as versatile as the client side web technology stack (HTML, CSS, SVG). This functionality brings in big benefits as opposed to other tools because your visualizations can appear like anything you want, and it not contained to small areas of a webpage like Processing.js, Paper.js, Raphael.js, or other canvas or SVG-only based libraries.
The D3 community is also another thing that makes D3.js attractive. D3 has been forked more than 9,000 times on Github. That means other developers are also continuously working to improve and extend D3.
But perhaps what makes D3.js really the choice of many data visualization professionals is that there are so many examples on the web. A simple search will yield hundreds of D3.js examples that provide users with tons of knowledge that allow them to learn and use D3.js for their own purpose.
Show MoreBearing in mind companies have their own business-related needs, it is rational that they avoid purchasing an all-in-one, ideal system. Be that as it may, it would be futile to come across such application even among popular software products. The best thing to do can be to list the several important functions which necessitate careful thought such as essential features, plans, skill competence of staff members, business size, etc. Then, you should conduct your research comprehensively. Go over some of these D3.js reviews and explore the other software programs in your shortlist more closely. Such detailed product investigation ascertain you steer clear of ill-fitting apps and choose the one that has all the aspects your business requires in sustaining growth.
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D3.js is one of the top 20 Data Visualization Software products
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D3.js Pricing Plans:
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D3.js Pricing Plans:
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ADD A REVIEWThe most favorable review
PROS: I like the visualization capability I get with this app. I can do almost everything in terms of visualizing data. The software is SVG-based that makes it much better compared to canvas.
CONS: I don’t like that D3js isn’t a plug-and-play library. For this reason, learning it can be a bit time-consuming. This isn’t actually a big deal for me, but perhaps a problem for users who don’t have time learning it.
The least favorable review
PROS: I like that this software comes with a Declarative Approach for individual node manipulation. This functionality matches all web standards. I also like that it uses HTML, Canvas, and SVG. I can also debug the elements using the built-in inspector of the software.
CONS: You need to really master everything before using the tool. Also, when I am dealing with large datasets, it starts to slow down a bit.
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Helpful data visualization solution
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PROS: I like that this software comes with a Declarative Approach for individual node manipulation. This functionality matches all web standards. I also like that it uses HTML, Canvas, and SVG. I can also debug the elements using the built-in inspector of the software.
CONS: You need to really master everything before using the tool. Also, when I am dealing with large datasets, it starts to slow down a bit.
One of the best data visualization tools so far
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PROS: I like that I can easily learn how to visualize my data using this platform. It can be implemented with a little effort, and it comes with the ability to support large datasets. I also get extra support with the samples it offers.
CONS: Although it can handle large datasets, it gets a tad slow sometimes, and this what makes it frustrating.
A hub for visualizing data
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PROS: I like the visualization capability I get with this app. I can do almost everything in terms of visualizing data. The software is SVG-based that makes it much better compared to canvas.
CONS: I don’t like that D3js isn’t a plug-and-play library. For this reason, learning it can be a bit time-consuming. This isn’t actually a big deal for me, but perhaps a problem for users who don’t have time learning it.
Easy to use and flexible software
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PROS: I like that it uses data-driven documents so I can interactively see a clear picture of all my data. If you have a little background about Javascript and you want to view large datasets, this is the solution you should for you. It comes with a variety of ready-made templates within the app. Easy to use and flexible software that doesn’t require much knowledge about Javascript. Simply import D3js library statement in the code you’re using, and you’re all set. It will take the library automatically whenever you’re online.
CONS: Building it can be time-consuming without the ready-made templates. Also, looking for the most suitable template for your data is hard. It supports Mozilla Firefox browser only. jQuery d3.js should be used as well if you want to unlock advanced features. Debugging functionalities should be done very carefully also. It may process large datasets, but you need to assign them to the canvas cautiously.
I can now visualize data with ease
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PROS: D3js is a solution we used to deal with complex datasets and break them into pieces that makes them more understandable. With this capability, we consequently establish good visualizations so the company will see the current condition of our data.
CONS: If you are new to this software, you may have a problem understanding it. It is open-source software and the support system for learning it is poor.
We can create charts easily
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PROS: With this tool, we are given the ability and flexibility to create and implement charts needed in certain areas of our data.
CONS: The documentation works well. It provides the data that we need to see. It is easy to use! Nothing to dislike about this platform, anyway.
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Helpful data visualization solution
Read full review >Overall impression
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Value for Money
Ease of Use
One of the best data visualization tools so far
Read full review >Overall impression
Customer Support
Value for Money
Ease of Use
A hub for visualizing data
Read full review >Overall impression
Customer Support
Value for Money
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Easy to use and flexible software
Read full review >Overall impression
Customer Support
Value for Money
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I can now visualize data with ease
Read full review >Overall impression
Customer Support
Value for Money
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