Quick Start Guide
Quick Start Guide
At the end of this tutorial, you'll know how to use DataHub Cloud to turn datasets and data-driven content on GitHub into a published, shareable site.
Note: While our tutorial focuses on publishing a dataset, with a few tweaks, you can turn this into an engaging data story.
Start out from our template
- Go to Datahub Cloud Template
- Give your new repository a name
- You can make it either public or private - it works with both
- Create the repository
- Done! This is what it should look like:
- Now that you've got your own copy, it's time to publish it with Datahub Cloud
Sign up
If you have early access and you got the access link, go to the sign-up page and sign up. If you don't, please sign up here for free for early access
Publish your dataset
- Click on "Create New Site" and follow the steps
Note: Make sure to choose the GitHub repository you just created.
- This was quite quick, right?
- Now, hit "Visit" and let's see what it looks like:
You are ready to roll!
Now you can either enhance this dataset or try publishing your own dataset (continue reading).
Note: For the time being, you're going to have to click on the "Sync" button on Datahub Cloud after every change made in your repository (we are currently working on removing this step).
Enhancing your dataset
Start populating your new repository with data. Enhance your content with other data visualisation components and markdown features. Update your README using Markdown to provide insights into your dataset. Let your data tell its story!
- For a full list of supported markdown features visit https://flowershow.app/docs/syntax
- For a full list and API of available data visualisation components visit https://storybook.portaljs.org
Try Datahub Cloud with your own dataset
Do you have an existing dataset on Github that you want to publish with Datahub Cloud?
- Navigate to Datahub Cloud
- Create a new site
- Publish your dataset by choosing your dataset repository
- Done! Click "Visit" to see the outcome
- Share your cool new dataset page with colleagues and friends
