Charticulator is a new charting tool that allows you to design charts by interactively specifying constraints.
Follow the following steps to prepare a development environment:
- Install nodejs 8.0+: https://nodejs.org/
- Install yarnjs 1.7+: https://yarnpkg.com/
Install node modules:
yarn
Copy the template configuration file and edit its contents:
cp config.template.yml config.yml
# (on windows, use copy instead of cp)
Run the following command to build Charticulator, which will create a self contained bundle in the dist
folder:
yarn build
Run a local web server to test Charticulator:
# Serve Charticulator at http://localhost:4000
yarn server
# Serve Charticulator publicly at http://0.0.0.0:4000
# Use this if you want to enable access from another computer
yarn public_server
For a live development environment, keep the following command running:
yarn start
This command watches for any change in src/
and sass/
, and recompiles Charticulator automatically.
Once this up, open http://localhost:4000/
to launch Charticulator. Now when you change the source code, the app can be updated by simply
refreshing the browser page (you may need to disable browser cache).
In development mode, there is a test application for UI components, which can be accessed at http://localhost:4000/test.html.
The watch mode won't update when you change the following:
- config.yml
- THIRD_PARTY.yml
- webpack.config.js
When you update these, please do yarn build
again.
You can add custom sample datasets that can be used with Charticulator. To do so, create a datasets
folder at the root of the repository(if it doesn't exist), add your .csv
(or .tsv
) to that folder, and finally create a files.json
file in the folder with the following contents:
[
{
"name": "<Your dataset display name>",
"description": "<Your dataset desription>",
"tables": [
{
"name": "<Your dataset file name without extension>",
"type": "<csv || tsv>",
"url": "<Your dataset file name with extension>"
}
]
}
]
Charticulator currently include a rudimentary test code:
yarn test
More test cases are needed.
This project welcomes contributions and suggestions. Most contributions require you to agree to a Contributor License Agreement (CLA) declaring that you have the right to, and actually do, grant us the rights to use your contribution. For details, visit https://cla.microsoft.com.
When you submit a pull request, a CLA-bot will automatically determine whether you need to provide a CLA and decorate the PR appropriately (e.g., label, comment). Simply follow the instructions provided by the bot. You will only need to do this once across all repos using our CLA.
This project has adopted the Microsoft Open Source Code of Conduct. For more information see the Code of Conduct FAQ or contact [email protected] with any additional questions or comments.