G2

Phuong B.

Software Developer

Mid-Market (51-1000 emp.)

1/27/2021

"D3.js for Data Visualization"

4.5/5

What do you like best about D3.js?

- Wide variety of visualization collections.

- 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.

- 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. Review collected by and hosted on G2.com.

What do you dislike about D3.js?

- Documentation can be improved a little more.

- Requires web development experience.

- Hard to code, not a kids play toy.

- More innovative visualization charts can be added.

- Also, the development community to answer questions and more educational videos to make our learning path easier.

- Has a steep initial learning curve.

- It is slow when dealing with really large datasets.

- Not great for making maps. Review collected by and hosted on G2.com.

Recommendations to others considering D3.js:

D3.js is appropriate when you have a pre-requisite knowledge of JavaScript. One must find alternatives if they don't have prior experience with JS. It 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 them without having to install any software on their machines. Review collected by and hosted on G2.com.

What problems is D3.js solving and how is that benefiting you?

I use D3js 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 that are addressed are data visualization. Review collected by and hosted on G2.com.