Community đ â
Learning D3? Love data visualization? Donât go it alone! Join our community to get help, be inspired, and do the same for others.
Staying up-to-date â
If you like D3, please star âď¸ our GitHub repo to show appreciation and to see updates on your GitHub dashboard.
And of course, follow us on Observable, Mastodon, Twitter, and LinkedIn!
Getting help â
We recommend asking for help on the Observable forum. Or if you prefer chat, join the Observable community Slack.
We encourage you to share your work, no matter how messy, on Observable. Sharing live code is the easiest way to let people see what you see, and to debug your problem. Strive for a minimal, reproducible example â it helps people hone in on your problem more quickly.
When asking for help, donât just post your code and ask people to fix it. Provide context, and say what you want help with. For example:
- What are you trying to achieve? What is your goal?
- What other solutions have you tried?
- What behavior are you currently seeing?
- Is the current behavior not what you expect?
If you think youâve found a bug in D3, please file a GitHub issue. But donât use an issue to ask for help â youâll have better luck on the forum or Slack.
Getting involved â
Weâd love for you to join the community! Here are some ways to participate:
Share your work on Observable. Working in public is a great way to help others learn and be inspired. Donât worry if your code is messy or unfinished; sharing drafts normalizes the challenges that everyone experiences doing data visualization.
Upvote đ or comment on GitHub issues. Weâd love your input on what to build next. If your desired feature isnât already there, or if youâve found a bug, file an issue and tell us about it.
Answer questions or participate in discussions on the Observable forum and the Observable community Slack. Youâll help others, and might learn something yourself, too.
Please help us maintain a positive environment for all by adhering to our code of conduct. Thank you!