CKAN extension which allows users to visualize data in a very efficient and intuitive way, in a simple to use User Interface. The viewer automatically creates the most meaningful chart based on the chosen columns. Administrators can create predefined charts and easily configure them based on the needs.

Compatibility with core CKAN versions:

• Intuitive and easy to use. This CKAN extension enables users to easily build and visualize charts that are simple to use.
• Predefined charts. Administrators can create meaningful charts for users as CKAN views, so they can immediately visualize and understand the data.
• Standalone chart viewer. The extension allows the chart viewer to be embedded on third-party websites without creating CKAN views.
• Intelligent chart type selection. Depending on the data types of the columns that are chosen, the extension automatically chooses the most appropriate type to visualize the data.
• Drag-and-drop columns. Creating a chart is as easy as dragging a column from the list of all available columns into the X or Y axis.
• Color attribute. Data in the chart can be grouped based on the selected column and colored for each distinct value.
• Visually distinct columns. All available columns that can be dragged are color coded based on the data type of the column and have a specific icon defined in a legend.
• Chart types. The viewer supports the following types of chart: bar, line and point, with more coming in the next release.
• Customizable color palette. The extension comes with a default color palette that is using carefully chosen colors that are accessible, with the possibility to change them and add additional ones from a configuration page.
• Customizable chart type icons. For each supported chart type, there is a corresponding icon that can be customized from a configuration page.
• Mobile support. Drag-and-drop functionality is supported on mobile devices as well.
• Responsive. The extension is optimized to work across many screen sizes, from mobile to desktop.

• HTML, CSS, Bootstrap, JavaScript, jQuery, Chart.js, SortableJS, Python

• Predefined chart

• Intelligent chart type selection

• Drag-and-drop columns

• Color attributes

• Chart colors

• Data types

• Chart types

• Customizable color palette

.. Add any additional install steps to the list below. For example installing any non-Python dependencies or adding any required config settings.

To install ckanext-visualize:

1. Activate your CKAN virtual environment, for example:

   . /usr/lib/ckan/default/bin/activate

2. Install the ckanext-visualize Python package into your virtual environment:

   pip install ckanext-visualize

3. Add visualize to the ckan.plugins setting in your CKAN config file (by default the config file is located at /etc/ckan/default/production.ini).

4. Restart CKAN. For example if you've deployed CKAN with Apache on Ubuntu:

   sudo service apache2 reload

To install ckanext-visualize for development, activate your CKAN virtualenv and do:

git clone https://github.com/keitaroinc/ckanext-visualize.git
cd ckanext-visualize
python setup.py develop
pip install -r requirements.txt
pip install -r dev-requirements.txt

To run the tests, do:

pytest --ckan-ini=test.ini

To run the tests and produce a coverage report, first make sure you have pytest-cov installed in your virtualenv (pip install pytest-cov) then run:

pytest --ckan-ini=test.ini  --cov=ckanext.visualize

The default icons that are used for the types of chart are taken from The R Graph Gallery.

The illustration that is used is a modified version based on the open-source illustration from Katerina Limpitsouni.

• Performance. If a resource contains large data, e.g. more than 10000 rows, the viewer may be slower as it needs more time to prepare the data.
• Internet Explorer. The HTML element <input type="color"> is not supported in Internet Explorer, therefore the color picker does not work in the administrator configuration page.