In this guide:
- Publishing your data notebooks
- How to publish data notebooks
- What can you do after you publish your notebook?
Publishing your data notebooks
Let’s say that you’ve already imported your data, performed some aggregations, and visualized the results using different chart blocks. You have finished your data notebook, and all your data is formatted and easy to digest. So what is next?
If you are an executive and this is your KPI dashboards, you might want to share them with the rest of the board. Alternatively, if you are the marketing manager, you would want your team to always be informed of your marketing campaign results to successfully measure marketing spend.
To help you achieve all these goals, we made it easy to publish your data notebooks, so you can share them with the rest of the team, company, or partners.
How to publish data notebooks
After you build your data workflow, you can proceed and publish the data notebook. You can do that by navigating to the left pane and clicking the “Publish Notebook” button.
Right after you click the button, a new pop-up screen will appear. Choose "Ask" if you want your colleagues to provide their own data, or "Don't" to make sure your data is always used in the workflow.
Based on what you set, you’ll get two different previews of your data notebook.
If your setting was to ask for the data, the first step will be available for other users and it will prompt them to import data. The remaining steps will be view-only, except for those who have editing permissions.
If you’ve restricted the input block, then collaborators will only be able to preview and run this notebook, and all the steps will be view-only.
What can you do after you publish your notebook?
After a notebook is published, you can:
If you have the appropriate permissions, clicking on the "Edit Notebook" button will take you back to the editable version of your notebook.
2. Preview the notebook
This option allows you to preview the latest version of your data app.
This option lets you or another collaborator run the notebook. The goal of running a notebook is to get new results from newly collected data using the same predefined data workflow. You can read more about running notebooks on the official guide for that action.