This paper demonstrates an approach to data visualization using manipulations with json data. Based on the Dimensional Charting library, you can render graphical information taking into account the processing of big data, since interactive data visualization in the web interface is widely used in analyzing user traffic on the Internet. Dimensional Charting is the link between the two built-in libraries. The Crossfilter library is responsible for sorting, filtering big data, and d3.js it is necessary for drawing graphic material on html pages. Thanks to new technologies, you can process big data without using third-party programming languages.

Keywords: data processing, data visualization, filtering, sorting dimensional charting, javascript, json, crossfilter, data-driven documents