Polychart2.js
Polychart2.js is an easy-to-use yet powerful JavaScript graphing library. It
takes many ideas from the Grammar of Graphics and the R library ggplot2, and
adds interactive elements to take full advantage of the web.
Key Features
Static Charts
Charts are defined in Polychart2 by providing a combinations of
- one or more layers, defining the "mark" or "chart type" to be used
- one or more aesthetic mappings, defining which data columns will map to
which visible features like position or color (these are known as
aesthetics) - scales, definining how data columns will map to aesthetics (e.g. linear or
log scale? what numeric values map to which colour?) - coordinates, defining which coordinate sytem to plot the chart in (typically
cartesian or polar)
The full list of supported layers, aesthetics, scales and coordinates and how
they are specified can be found in the documentations.
Data Processing
The Polychart2 library can perform simple statistical calculations based on
existing data. For example, it is possible to plot the total number of sales
per region by assigning the x-mapping to region and y-mapping to
sum(sales).
These statistical calculations can happen in the front-end, right in the
browser, can be done in the backend with a server that can communicate with
the front end.
The full list of supported operations and integration details are provided in
the documentations.
Interaction
Charts created by Polychart2 is interactive by nature, and uses an event-based
model for interaction. Events are thrown when the underlying data changes, or
when a user interacts with the chart. Charts can be modified as a response to
events. See the documentations for more details.
Downloads
- polychart2.js - The full version of Polychart2.js
- polychart2.min.js - The minified version of Polychart2.js
- polychart2.standalone.js - The minified version, including dependencies
Dependencies
Polychart2.js uses the following libraries internally.
Other libraries in the lib/ directory are included for the test and example
scripts.
Testing
When developing locally, note that your browser may enforce strict permissions
for reading files out of the local file system. Additionally for testing
backend data processing functionalities, server database querying
functionalities are used. For those examples, a tornado server and a
sqlite3 database is included. To run the server run:
python server.py
Once this is running, go to http://localhost:8888/.
License
MIT