datasette-nteract-data-explorer

datasette-nteract-data-explorer

Automatic data visualization for Datasette

Installation

Install this plugin in the same environment as Datasette.

datasette install datasette-nteract-data-explorer

Usage

• Click "toggle" to open the panel
• Use the "advanced settings" mode to override the inferred field types. (For example, you may want to treat a number as a "string" to make it appear available as a dimension that could be used with color)
• See a live demo of this component in action.
• TODO: Add a live Datasette demo.

Development

Python

To set up this plugin locally, first checkout the code. Then create a new virtual environment:

cd datasette-nteract-data-explorer
python3 -mvenv venv
source venv/bin/activate

Or if you are using pipenv:

pipenv shell

Or if you are using pyenv:

pyenv virtualenv 3.9.10 datasette-nteract-data-explorer
pyenv

Now install the dependencies and test dependencies:

pip install -e '.[test]'

To run the tests:

pytest

Javascript

To ensure stability when resolving 3rd party dependencies, we use the Yarn package manager.

yarn install

To build a local test page

yarn run serve:dev

To build the package for production

yarn run build

Acknowledgements

• The Data Explorer was designed by Elijah Meeks. I co-maintain this project as part of the Nteract open-source team. You can read about the design behind this tool here
• The data model is based on the Frictionless Data Spec.
• This plugin was bootstrapped by Simon Willison's Datasette plugin template