One thing users have expressed repeatedly in our conversations is that data is more than facts and figures—it’s about telling a story. Tables and graphs are only interesting if they build to actionable insights.
These stories are increasingly being created in Jupyter Notebooks. From data cleanup to statistical modeling and machine learning, notebooks provide data professionals with an interactive environment for crafting compelling narratives with data.
Given the importance of notebooks, it’s only natural that users would want to host notebooks alongside their CSV and Excel files in data.world. That’s why we’ve added full support for notebook previews. Simply upload your notebook files, and we’ll render stunning previews.
I’ve collected a couple of beautiful examples from Peter Norvig in this Notebook Examples dataset. I look forward to seeing the stories you will tell over the coming months.
