WIP
This javascript package provides a web component <table-charter>
that hosts an app (using lit) which allows to interactively choose the plot type and its settings of the crosstabs generated with the crosstabser package (for instance, by calling the Tabula$save_html_app()
). Please open the demo for an interactive walkthrough and to see it live.
For an interactive demo how table_charter depends on datadaptor & crosstabser see here. See here for a description of the data format needed by table_charter.
If you also want to experiment with the code inside the table_charter web component, install it on your machine with (needs git & npm):
git clone https://gitlab.com/urswilke/table_charter
cd table_charter
npm i
In order to use table_charter you need to load the underlying code into your html. The easiest way is to load the source code of the npm package (which you can download from unpkg for every published version) in a stand-alone html file.
To understand how you can embed table_charter in html documents, have a look at the minimal_example.html stand-alone html file. When the source code is loaded, it provides the TableCharter
web component that contains the app which you can embed with the <table-charter>
tag in your html.
In example_dashboard.html we added a header (with the option to change the language of the app; only English and German for now, but other languages can be easily added with an according json file in src/languages and adapting languages.js) and a footer and some styling.
- You can run the app by downloading a stand-alone html file and open it locally in your browser.
- Another way is to install the package on your machine (see above) and then generate a stand-alone file with the current state of all the needed javascript code included (in contrast to providing a download link to the unpkg cdn) running:
npm run standalone-build
You can run the app on a dev server on your computer with vite by entering the following in your console:
npm run dev
This will run the app in index.html
and all the related source code on a local dev server (example_dashboard.html
is a stand-alone version of index.html
).
Our demo is the result of deploying the production version of the table_charter html element automatically each time code is pushed into this repo (with the pages
part in the gitlab ci). By forking this repo and adapting the data used, you can deploy dashboards with your own data to the web.
You can embed the app in a quarto document as it's done here (the qmd document that creates this interactive demo) and allows to use datadaptor and crosstabser in the same file.
An example how you can embed table-charter in an observable notebook is shown here.
The tests are made with webdriverio and can be run on firefox with
npm run test
and on chrome with
npm run test -- --chrome
They are also run on push with the gitlab ci.
The versatility of the lit element with charts from observable plot and the tidy data structure allow to easily
- add further options to controll the charts' features & appearance,
- connect the dashboard to a data base,
- easily expand the generated plot types, such as
- plotting the data of multiple questions in different columns, or
- assembling the survey data of different years
- etc. ...
Please take note that the source code of this repo is published under the AGPLv3 license.