JSON vs. Python vs. StatPlanet Cloud vs. V Programming Language Comparison Chart

JSON (JavaScript Object Notation) is a lightweight data-interchange format. It is easy for humans to read and write. It is easy for machines to parse and generate. It is based on a subset of the JavaScript Programming Language Standard ECMA-262 3rd Edition - December 1999. JSON is a text format that is completely language independent but uses conventions that are familiar to programmers of the C-family of languages, including C, C++, C#, Java, JavaScript, Perl, Python, and many others. These properties make JSON an ideal data-interchange language. JSON is built on two structures: 1. A collection of name/value pairs. In various languages, this is realized as an object, record, struct, dictionary, hash table, keyed list, or associative array. 2. An ordered list of values. In most languages, this is realized as an array, vector, list, or sequence. These are universal data structures. Virtually all modern programming languages support them in one form or another.

Gain unprecedented insights into your data using StatPlanet Cloud, the next iteration of our award-winning StatPlanet visualization and mapping software. StatPlanet Cloud is cross-platform (HTML5/JavaScript-based). It can be accessed through a web-browser from any device, whether a PC, Mac, mobile or tablet. StatPlanet Cloud is an out-of-the box solution to rapidly transform a spreadsheet or database into an interactive dashboard. With its intuitive interface, even new users can instantly explore the interactive graphs and maps, and filter down to indicators and areas of interest. It comes with an open-source, Excel-based Data Manager, which has been used in over 60 countries for importing and consolidating a wide range of data. Creating your first dashboard is easy. If your data is in spreadsheet format, it can be automatically imported and visualized. StatPlanet also supports SDMX, the international standard for data exchange.