10 Best JavaScript Libraries For Data Visualisations

10 Best JavaScript Libraries For Data Visualisations     Here is a list of top 10 JavaScript libraries for web projects.    Rate this news:  (1 Votes) Friday, October 31, 2014:  Sufficient and relevant data is always important in a healthy working environment but it's time consuming and difficult to tackle large and complex data sets. That's why many organisations prefer creating internal reports, management dashboards and support sales arguments for data visualisation. Infographics can be highly useful in specific visualisations and they can inspire how to approach real time visualisation through JavaScript libraries. Here is a list of top 10 JavaScript libraries for web projects. 1. JSPlumb: This library helps in visually connecting elements like flowcharts, state machines and hierarchial charts. It can be implemented in different ways and it supports animation and drag-and-drop features with specific plug-ins. It's compatible with jQuery, Moo Tools and YUI. It's a free library and it's available on GitHub too. 2. D3: Data visualisation is not at all possible without D3 as it remains one of the most dominant programming libraries in this field. D3 or Data Driven Documents is an open source JS library which is used to generate SVG graphics. It's a powerful library and its compatible with almost every new browser. But it has a flip-side too as it doesn't dictate or recommend any particular visual representation. It usually loads data into a browser and generates DOM elements based on that data. 3. Cascading Tree Sheets: This library targets structured data by defining styling for complex presentations. It adds CTS code widgets for maps and charts and users can create visualisations with basic HTML. It operates with six main widgets and simple HTML tables and lists need to be coded only to generate online visualisations. It's perfect for beginners though. 4. sigmajs: It's an open source lightweight JavaScript library which can draw graphs and use the HTML canvas element. It's designed to display interactive static graphs which are exported from graph visualisation software. 5. JS Sequence Diagrams: With this library users can convert text into vector UML sequence diagrams and it relies on Raphael and Underscore.js. The result can be downloaded in SVG and it can also be saved as a plain image. It offers two different themes, straight lines and rectangles for a professional look. 6. Vega: If you want to make a standard chart then Vega is best suited for you. It provides an alternate syntax for defining chart elements and with Vega you can also describe data visualisations in a JSON format and generate interactive views using HTML5 Canvas or SVG. It also makes visualisations more usable and shareable and it improves platform flexibility. 7. Dataset: Dataset is known as a transformation and management library which eases processing data for other applications and it simplifies things like loading, parsing, sorting data and so on from all kinds of sources. If you have stored any data on Google Spreadsheet then you can use Dataset to pull data from there to a remote live data feed. Columns can also be added and the library is very well-documented. It's an open source project too. 8. heatmap.js: Heatmap is used for visualising three dimensional data and this library allows creating web heatmaps with JavaScript. Heat maps are highly customisable and you can choose your own colour option, opacity, datapoint radius and much more. It is compatible with modern web browsers which have support for HTML5 Canvas. 9. Timeline: It's another open source library which creates interactive responsive timelines and it also allows embedding media sources like YouTube or Vimeo videos, Google Maps, SoundCloud or Twitter feeds. The data source can be anything from a Google Spreadsheet to a JSON file. 10. Dygraphs: This open source charting library is very fast and flexible which allows exploring through dense data sets. It's highly customisable and it can work on all major browsers. It's interactive too.

Here is a list of top 10 JavaScript libraries for web projects.    Rate this news:  (1 Votes) Friday, October 31, 2014:  Sufficient and relevant data is always important in a healthy working environment but it's time consuming and difficult to tackle large and complex data sets. That's why many organisations prefer creating internal reports, management dashboards and support sales arguments for data visualisation. Infographics can be highly useful in specific visualisations and they can inspire how to approach real time visualisation through JavaScript libraries. Here is a list of top 10 JavaScript libraries for web projects. 1. JSPlumb: This library helps in visually connecting elements like flowcharts, state machines and hierarchial charts. It can be implemented in different ways and it supports animation and drag-and-drop features with specific plug-ins. It's compatible with jQuery, Moo Tools and YUI. It's a free library and it's available on GitHub too. 2. D3: Data visualisation is not at all possible without D3 as it remains one of the most dominant programming libraries in this field. D3 or Data Driven Documents is an open source JS library which is used to generate SVG graphics. It's a powerful library and its compatible with almost every new browser. But it has a flip-side too as it doesn't dictate or recommend any particular visual representation. It usually loads data into a browser and generates DOM elements based on that data. 3. Cascading Tree Sheets: This library targets structured data by defining styling for complex presentations. It adds CTS code widgets for maps and charts and users can create visualisations with basic HTML. It operates with six main widgets and simple HTML tables and lists need to be coded only to generate online visualisations. It's perfect for beginners though. 4. sigmajs: It's an open source lightweight JavaScript library which can draw graphs and use the HTML canvas element. It's designed to display interactive static graphs which are exported from graph visualisation software. 5. JS Sequence Diagrams: With this library users can convert text into vector UML sequence diagrams and it relies on Raphael and Underscore.js. The result can be downloaded in SVG and it can also be saved as a plain image. It offers two different themes, straight lines and rectangles for a professional look. 6. Vega: If you want to make a standard chart then Vega is best suited for you. It provides an alternate syntax for defining chart elements and with Vega you can also describe data visualisations in a JSON format and generate interactive views using HTML5 Canvas or SVG. It also makes visualisations more usable and shareable and it improves platform flexibility. 7. Dataset: Dataset is known as a transformation and management library which eases processing data for other applications and it simplifies things like loading, parsing, sorting data and so on from all kinds of sources. If you have stored any data on Google Spreadsheet then you can use Dataset to pull data from there to a remote live data feed. Columns can also be added and the library is very well-documented. It's an open source project too. 8. heatmap.js: Heatmap is used for visualising three dimensional data and this library allows creating web heatmaps with JavaScript. Heat maps are highly customisable and you can choose your own colour option, opacity, datapoint radius and much more. It is compatible with modern web browsers which have support for HTML5 Canvas. 9. Timeline: It's another open source library which creates interactive responsive timelines and it also allows embedding media sources like YouTube or Vimeo videos, Google Maps, SoundCloud or Twitter feeds. The data source can be anything from a Google Spreadsheet to a JSON file. 10. Dygraphs: This open source charting library is very fast and flexible which allows exploring through dense data sets. It's highly customisable and it can work on all major browsers. It's interactive too.