Are you using React? Check out the React port: react-pivottable.
What does it do?
PivotTable.js' basic function is to enable data exploration and analysis by turning a data set into a summary table and then optionally adding a true 2-d drag'n'drop UI to allow a user to manipulate this summary table, turning it into a pivot table, very similar to the one found in older versions of Microsoft Excel with a bunch of extra developer-oriented features and some visualization effects. With optional add-ons, the summary table can be rendered as various kinds of charts, turning the pivot table into a pivot chart.
The animation above is based on the Canadian Parliament 2012 dataset example.
Where are the demos/examples?
There are lots on the examples page but here are some good entry points:
- a JSFiddle where you can play with the code
- a simple demo running on the "Canadian Parliament 2012" dataset
- fully-loaded demo running on the 700+ datasets that ship with R
- fully-loaded demo where you provide your own CSV file for input
Why is it good?
- it works wherever jQuery and jQueryUI work (tested with jQuery 1.8.3 and jQueryUI 1.9.2)
- it works acceptably fast in Chrome on commodity hardware up to around a hundred thousand records, depending on the cardinality of the attributes.
- its UI is localizable
- its layered architecture allows for summary table generation with or without the pivot table UI around it (if you don't use the UI, then there is no dependency on jQueryUI)
- it works with common input formats
- its derived attributes can be created on the fly based on the whole input record by passing in a function
- its complex aggregation functions can compute values based on the whole input record (e.g. weighted averages)
- it has built-in support for basic heatmap and bar chart renderers, and optional extra renderers that add charting or TSV export support
- its extension points allow aggregation functions, table output, UI and visualizations to be tailored to specific applications
- it works on mobile devices with jQuery UI Touch Punch
- it has a test suite
How do I use the UI?
PivotTable.js implements a pivot table drag'n'drop UI similar to that found in popular spreadsheet programs. You can drag attributes into/out of the row/column areas, and specify rendering, aggregation and filtering options. There is a step-by-step tutorial in the wiki.
How do I load the code?
PivotTable.js implements the Universal Module Definition (UMD) pattern and so should be compatible with most approaches to script loading and dependency management: direct script loading i.e. from CDNJS or with RequireJS, Browserify etc. For the latter options, you can grab it from NPM with
npm install pivottable or via Bower with
bower install pivottable.
If you are loading the scripts directly (as in the examples), you need to:
- load the dependencies:
- jQuery in all cases
- jQueryUI for the interactive
pivotUI()function (see below)
- D3.js, C3.js and/or Google Charts if you use charting plugins
- load the PivotTable.js files:
- any plugins you wish to use
The dependencies and PivotTable.js files can be loaded:
- By copying the files from their official distributions to your project and loading them locally (the
distdirectory is where you will find the PivotTable.js files)
- From a Content Distribution Network (CDN) like CDNJS
(The examples load dependencies from CDNJS and PivotTable.js locally)
How do I use the code?
There are two main functions provided by PivotTable.js:
pivotUI(), both implemented as jQuery plugins, as well as a bunch of helpers and templates.
Once you've loaded jQuery and pivot.js, this code (demo):
appends this table to
$("#output") (the default, overridable behaviour is to populate the table cells with counts):
A slight change to the code (calling
pivotUI() instead of
pivot() ) yields the same table with a drag'n'drop UI around it, so long as you've imported jQueryUI (demo):
pivotUI() take different parameters in general, even though in the example above we passed the same parameters to both. See the FAQ.
See the wiki for full parameter documentation.
Where is the documentation?
More extensive documentation can be found in the wiki:
- Frequently Asked Questions
- Full Parameter Documentation
- Input Formats
- Derived Attributes
- Optional Extra Renderers: Charting and Exporting
- Used By
How can I build the code and run the tests?
To install the development dependencies, just run
npm install, which will create a
node_modules directory with the files required to run the Gulp build system.
After modifying any of the
.coffee files at the top of the repo, you can compile/minify the files into the
dist directory by running
The easiest way to modify the code and work with the examples is to leave a
node_modules/gulp/bin/gulp.js watch serve command running, which will automatically compile the CoffeeScript files when they are modified and will also run a local web server you can connect to to run the tests and examples.
How can I contribute?
Pull requests are welcome! Here are some Contribution Guidelines.
I have a question, how can I get in touch?
Please first check the Frequently Asked Questions and if you can't find what you're looking for there, or in the wiki, then please create a GitHub Issue. When creating an issue, please try to provide a replicable test case so that others can more easily help you. Please do not email the author directly, as you will just be asked to create a Github Issue :)
Copyright & Licence (MIT License)
PivotTable.js is © 2012-2016 Nicolas Kruchten, Datacratic, other contributors
Permission is hereby granted, free of charge, to any person obtaining a copy of this software and associated documentation files (the "Software"), to deal in the Software without restriction, including without limitation the rights to use, copy, modify, merge, publish, distribute, sublicense, and/or sell copies of the Software, and to permit persons to whom the Software is furnished to do so, subject to the following conditions:
The above copyright notice and this permission notice shall be included in all copies or substantial portions of the Software.
THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY, FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM, OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE SOFTWARE.