Plotting your data can serve as a replacement to tabular data, and is also a great way to add practical graphics to your web page or application. There are many ways you can plot data, but here I have included 20 Really Useful Scripts To Plot Charts In Your Sites/Blog Pages which serves as a easy Charting solution. Hope you like it.
If you want to share more charting solutions that are useful and our readers/viewers may like. Do you want to be the first one to know the latest happenings at SmashingApps.com just subscribe to our rss feed and you can follow us on twitter as well.
Style Chart is an innovative technology that allows you to easily embed sophisticated and dynamic charts in your Web site.
FC_RTGraph is a tool that allows you to collect and graph information from SNMP devices. FC_RTGraph takes an XML formatted config file as input. FC_RTGraph is an excellent tool for real-time monitoring. Collected SNMP data can be graphed in highly customizable 3D graphs (Bar, Area, Line, 3D).
Edge cases such as tooltips encourage user interactivity and data exploration and you can re-size the charts. It can manage the missing data. This solution saves the chart as an image form. You can highlight or emphasize one (or many) points.
The Google Visualization API lets you access multiple sources of structured data that you can display, choosing from a large selection of visualizations. Google Visualization API enables you to expose your own data, stored on any data-store that is connected to the web, as a Visualization compliant datasource. Thus you can create reports and dashboards as well as analyze and display your data through the wealth of available visualization applications.
The YUI Charts Control visualizes tabular data on a web page in several possible formats including vertical columns, horizontal bars, lines, and pies. Notable features include support for the DataSource Utility, customizable series and axes, a customizable mouse-over datatip, combination charts, and skinning.
ProtoChart is an opensource library using Prototype and Canvas to create good looking charts. This library is highly motivated by Flot, Flotr and PlotKit libraries. It supports line, bar, pie, curve, mix, and area charts, multiple data series on same graph, customizable legend, grid, grid border and background. It supports: IE6/7, FF2/3 and Safari and even works on an iPhone.
EJSChart supports mouse tracking, mouse events, key tracking and events, zooming. Scrolling, and crosshairs raise interactivity and user experience in web charting to a new level. You can choose multiple chart types: line, area, scatter, pie, bar and function series. Every aspect of the charting display can be configured and customized through well-documented properties and methods.
fgCharting is a nice jQuery plug-in which allows you to plot easly charts. It supports several types of charts (line, filledLine, additiveLine, additiveFilledLine, pie, bar, additiveBar) you can customize how you prefer.
If you need to graph 3-dimensional data, Canvas 3D Graph is worth checking out. Canvas 3D Graph is written with excanvas.js to support Internet Explorer.
DynamicDrive offers a DHTML/CSS based solution for graphing pie charts. The implementation is straightforward, just include two scripts provided (wz_jsgraphics.js and pie.js), define the values of each segment of your pie chart either inline or in an external JS file, and youâ€™re set!
Flotr, written by Bas Wenneker of Solutoire.com, is a plotting solution inspired by Flot that uses the Prototype JS library and excanvas.js. It supports most modern browsers including Internet Explorer 6, and has many features of Flot including mouse tracking, selection, mouse-tracking features.
The Line Graph script is another DHTML solution from DynamicDrive that allows you display line graph data. The procedure for implementation is similar to the Pie Graph script.
JGraph – JGraph is the leading Open Source Java Graph Visualization Library. It follows Swing design patterns to provide an API familiar to Swing programmers and functionality that provides a range of features. Graph visualization is a central requirement for applications such as workflow editors, computer and telecommunication networks display, flowcharts, VLSI and CAD, business process modeling, organizational charts, entity-relationship and cause and effect diagrams, and much more.
Guest post by Bariski, who is expert in Design, Photoshop, and Provides comprehensive Tutorials and Resources through his site Tutzone.