Copyedit interactive data visualization dashboard

[charlottejmc]

I've now prepared my copyedits for en/interactive-data-visualization-dashboard, represented in Issue #609.

[charlottejmc]

Hello @hluling and @caiocmello,

I've now prepared the copyedits for this lesson. I'd be grateful if you could review the adjustments and confirm that you are happy for me to merge these. You can see the details of my edits under the files changed tab!

I'd like to bring your attention to the comments I have attached to specific lines. You can respond to any of my suggestions via the comments below, or click Resolve conversation if you're happy with them like this:

If you want to make edits, please work here by clicking the three dots at the upper right of the file, then Edit file:

[charlottejmc]

One other thing, @hluling: your lesson will need a very short abstract (1-2 sentences max) to give a rapid overview of what it teaches. Could you prepare this and either send it to me via a comment, or add it directly in this branch to the abstract field in the markdown file's YAML header? Thank you!

[hluling]

Hi @charlottejmc, thanks for the edits! There is just one unresolved comment, please see above. Everything else looks good to me!

Abstract: This lesson demonstrates how to create interactive web-based dashboards using Python's Dash library, focusing on two case studies in media studies. By walking through the process of data retrieval, visualization, and web deployment, the lesson provides a practical guide for digital humanities researchers to make their research outputs more accessible and engaging through interactive data visualization.

[charlottejmc]

Thank you very much, @hluling! I'll now merge this copyedit branch so that your lesson can move to the next step in our publishing process, which is typesetting.