A chart or graph gives an overview of the data variation in a short and comprehensive way. It also reduces the time to grab the actual data fluctuations or variations and is available in visual form.
It is a diagram displaying the relationship between numbers or amounts. Common graphs use bars, lines, or parts of a circle to display data. Charts and Graphs are mainly used for statistical purposes and play a critical role in many applications.
Here are few tools which can build pretty good looking custom charts or graphs with defined statistics:
On this page
PlotKit Dynamic Charting Test – Redrawing values from a dynamic table.
PlotKit Simple Canvas Demo – A self-contained demo in a single file. Use this to get started!
PlotKit Simple SVG Demo – A self-contained demo in a single file. Use this to get started!
Sweet Canvas Test
Sweet SVG Test
Simple Canvas Test
Simple SVG Test
liquidx.net Stats Page
It produces graphical plots of arbitrary datasets on the on-the-fly client-side. The focus is on simple usage (all settings are optional), attractive looks, and interactive features like zooming. Although Flot is easy to use, it is also advanced enough to be suitable for Web 2.0 data mining/business intelligence purposes which is its original application.
Different graph types
Setting various options
Real data with a bit of interactivity
Selection support and zooming
Zooming with overview
Plotting time series
Visitors per day with zooming and weekends
Interacting with the data
Basic Axis Example
Basic Bar Example
Basic Legend Example
Mouse Tracking Support Example
Mouse Zoom Support Example
Negative Value Support Example
Click Event Hook Example
JSON Data Example
ProtoChart is a new opensource library to plot pretty charts with examples included
ProtoChart is a new open-source library using Prototype and Canvas to create good-looking charts. This library is highly motivated by Flot, Flotr, and PlotKit libraries.