Arguably the most dominant and important programming library in the field, D3 (short for Data Driven Documents) is an open source JavaScript library usually used to generate SVG graphics.

– data visualization libraries like Raphael, D3, processing; – and mapping tools such as TileMill, QGIS, TopoJSON. We view these as editorial and journalistic positions.

Data visualization is an important part of telling stories, but you can get lost in the weeds with D3.js for hours just to make a few simple charts. If charts are all you need, there are plenty of ...

The best data visualization tools should be easy to use (or come with a comprehensive tutorial), handle large amounts of data points, and be able to convert different data subsets into multiple ...

Observable seeks to be the GitHub for data visualization–simultaneously a repository and a community for folks interested in seeing more in their data, ... whether they’re open source like D3.js or ...

Data visualization is the presentation of data in a graphical format such as a plot, graph, or map to make it easier for decision makers to see and understand trends, outliers, and patterns in data.

Part 2 introduces valuable techniques for general data analysis and visualization, including how to map geospatial location, correlations and relationships, trends and distribution.

In our digital sage, the practice of data visualization has gained even more importance. ... about 6,000 years ago, when the first map was scratched into a piece of stone.

Another unique use for Uber’s data viz software – Minecraft visualization. deck.gl is a rich, flexible tool that according to Belmonte and Uber, has no real peers in the open source community.

Data visualization takes your data (numbers) and places it in a visual context, such as a chart, graph, or map. It also helps create data stories that communicate insights with clarity.