Overview
What is D3.js?
D3.js is a JavaScript library for manipulating documents based on data.
Great Developer Friendly Visualization Tool
D3.js for Data Visualization
D3.js Provides Ease and Variety That Isn't for All
Pricing
What is D3.js?
D3.js is a JavaScript library for manipulating documents based on data.
Entry-level set up fee?
- No setup fee
Offerings
- Free Trial
- Free/Freemium Version
- Premium Consulting/Integration Services
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Product Details
- About
- Tech Details
What is D3.js?
D3.js Technical Details
Operating Systems | Unspecified |
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Mobile Application | No |
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Reviews and Ratings
(11)Community Insights
- Business Problems Solved
- Pros
- Cons
Users have found this product to be incredibly useful for processing and formatting data to be used with other libraries. It has become the go-to resource for creating simple and appealing graphs, thanks to its user-friendly interface and extensive customization options. Additionally, the product has been widely used for plotting Hurst cycles and Stock charts, making it a valuable tool for financial professionals.
Many data scientists and professionals seeking courses in data visualization rely on this product due to its versatility and robust features. Users have found it fascinating to use this product to display relationships between words on social media and analyze statistics. The tool's ability to create interactive visualizations has also made it a commonly used tool in web projects, and it is often introduced to students as an introductory tool for visualizing datasets.
In addition to its ease of use, users appreciate the flexibility of this product, making it their preferred choice for data visualization tasks. It has been utilized to address various business problems related to data visualization, such as creating interactive maps and generating insightful data plots. Overall, D3.js provides a wide range of data visualization charts that help users gain insights and make informed decisions based on their data.
Advanced and Customizable Library: Users have found the library to be more advanced and customizable than other options available. Several reviewers have stated that it offers a wide range of functionalities for data processing, allowing users to create visually appealing components and charts that can be displayed on any browser.
Comprehensive Feature Set and Helpful Documentation: Many users appreciate the feature set of the library, mentioning that it has everything they would expect. They also find the documentation to be helpful, as it provides sample code for each charting type, making it easier for users to get started with their visualizations.
Efficient Handling of Large Datasets: Reviewers have highlighted the capabilities of the library in handling large datasets and creating custom visualizations. One user mentioned that they were able to plot their complete sales force data on a world map using the library. This demonstrates its efficiency in managing significant amounts of data while still providing clear visibility when plotted or displayed on the page.
Some users have expressed that working with the library requires a decent amount of coding experience. They feel that familiarity with programming concepts is necessary to effectively utilize the features of D3.
A common concern among users is the lack of consistency in creating different types of charts using D3. This often requires building different data structures and performing additional processing, which can be time-consuming and challenging for some reviewers.
The limitation of D3 only generating SVGs for displaying data has been mentioned by several users. They point out that SVGs are rendered using the CPU, which can lead to browser freezing when dealing with large datasets. This restriction may hinder performance and user experience in certain scenarios.
Attribute Ratings
Reviews
(1-3 of 3)Great Developer Friendly Visualization Tool
- Wide variety of visualization collections.
- Easy to customize existing visualization collections and add extended functionality.
- It takes some learning curve, but after that, it's easy to reuse across multiple similar problems with little changes.
- Documentation can be improved a little more.
- More innovative visualization charts can be added.
- Also, the development community to answer questions and more educational videos to make our learning path easier.
- Customization Charts help to give more insight into the dynamic data.
- Analytics of the user data can be visualized and helps the user to better analyze and understand the data.
- The initial learning curve of how to use the D3.js
D3.js for Data Visualization
- It is very easy to customize using D3.js. Animations, Interactivity, and data-driven plots make it a great framework to use.
- JSON and CSV, all formats are integrable and converted to have data flexibility in D3.js.
- Mostly heat maps, transitions, and effects are achieved using D3.js.
- Hard to code, not a kids play toy.
- No tutorial from official documentation.
- Requires web development experience.
- Rapid Development using templates helps faster delivery of the project.
- Documentation requires a lot of time to study.
- D3 creates high-quality visual effects which can be used over large screens.
- Tableau Desktop and Anaconda
D3.js Provides Ease and Variety That Isn't for All
- It provides multiple ways of visualizing data easily.
- It is fast and light on system resources. It is built with JavaScript and visualizations can be easily hosted on the web across browsers.
- It has a huge community backing it so it is easy to find people to help with whatever you're doing.
- Has a steep initial learning curve.
- It is slow when dealing with really large datasets.
- Not great for making maps.
- We've only used D3.js as a tool to learn data visualization and programming.