These CKAN Versions are exactely matched:

• 2.10.0
• 2.10.1
• 2.10.2
• 2.10.3
• 2.10.4
• 2.10.5
• 2.10.6
• 2.10.7
• 2.10.8
• 2.10.9
• 2.11.0
• 2.11.1
• 2.11.2
• 2.11.3
• 2.11.4
• 2.12.0
• 2.7.0
• 2.7.1
• 2.7.10
• 2.7.11
• 2.7.12
• 2.7.2
• 2.7.3
• 2.7.4
• 2.7.5
• 2.7.6
• 2.7.7
• 2.7.8
• 2.7.9
• 2.8.0
• 2.8.1
• 2.8.10
• 2.8.11
• 2.8.12
• 2.8.2
• 2.8.3
• 2.8.4
• 2.8.5
• 2.8.6
• 2.8.7
• 2.8.8
• 2.8.9
• 2.9.0
• 2.9.0a
• 2.9.1
• 2.9.10
• 2.9.11
• 2.9.13
• 2.9.2
• 2.9.3
• 2.9.4
• 2.9.5
• 2.9.6
• 2.9.7
• 2.9.8
• 2.9.9

CKAN dataset preview

Note: Still in development status.

Adds automatically charts for all datasets in the dataset list. Uses messytables to discover field types.

Installation

pip install ckanext-datasetpreview

Or install from source:

git clone https://github.com/unckan/ckanext-datasetpreview.git
cd ckanext-datasetpreview
python setup.py develop

Add datasetpreview to your CKAN config file’s ckan.plugins setting.

Configuration

Available config options:

# Define if the extension should draw chart for:
# - 'ALL'    All datasets with a CSV resource
# - 'EXTRA' Just datasets with the 'dataset_preview' extra dictionary defined
# - 'NO'     No datasets will show any preview
ckanext.datasetpreview.draw = 'ALL'  # default draw all
ckanext.datasetpreview.chart_height = 300  # pixels

Per-Dataset Configuration

Each dataset can add an extra value with the key dataset_preview:

extras["dataset_preview"] = {
    # Field to use in the chart. Could be:
    # - A list of field names (valid in the CSV resource)
    # - Default will be [0, 1] (the first two columns in the CSV)
    # - You can use numbers instead of field names
    "fields": ["Field1", "Field2"],
    "chart_type": "Bar",  # Allows 'Pie', 'Bar', 'Column'
    # URL could be:
    # - An external URL
    # - Don't use this value: will be "csv_resource" which picks the first CSV resource
    # - Name of the resource in the dataset (must be a CSV)
    "url": "csv_resource",
    "height": 450,  # pixels
    "chart_color": "#AA5521"
}

If you don’t set up each dataset, it will show the first CSV resource in the dataset (using the first two columns).

License

MIT license