We live in an era of data explosion, where nearly every application/website uses data to improve the experience delivered to the users.
Sometimes, the best feature is the data itself. However, table and number charts are often hard to read and it can be hard to draw insights from large data tables.
Instead different data visualization methods can be used that simulate the brain’s ability to process data in a visual way.
A popular library of open source HTML 5 charts for responsive web applications using the canvas element. Designs are simple and elegant with 8 different chart types
React-vis is Uber’s set of components for visualizing data in a consistent way, including line/area/bar charts, heat maps, scatterplots, contour plots, hexagon heatmaps and much more.
Raw graphs is a connection between spreadsheets and data visualization build for the d3.js library. It works with tabular data (spreadhseets and comma-separated values) as well as with copied-and-pasted texts from other applications.