Reviews (1-3 of 3)
October 24, 2019
Score 9 out of 10
D3.js helps us to visualize the data using various data visualization charts available from the library, it helps to give more insight into the dynamic data of the application and helps the user to make the sound decisions looking at the visualization charts.
- 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.
Read this authenticated review
It's well suited for dynamic data, especially when multiple users are using the application and generating data, it helps us to get analytics of the data for users.
I use Data Driven Documents for all my data visualization problems and cases. I use it more often than other data visualization tools because of the ease and flexibility of the tool. Business problems which are addressed are data visualization, interactive maps and data plots.
- 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.
Read Sanyam Jain's full review
September 09, 2016
Score 8 out of 10
D3.js is used across multiple classes, as an introduction to students who'd like to visualize datasets on the web. Many students use it for class projects and demos as well.
- It provides multiple ways of visualizing data easily.
- 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.
Read Firaz Peer's full review
D3.js is great for visualizing with medium and small size datasets. It's also great for prototyping visualizations quickly and sharing on the web so others can view it without having to install any software on their machines.