This shiny Notion Database captures sales history, including all customers and their information. We can edit it and use it everyday to track our sale performance. This page shows how we can analyse this data with notebooks, and embed results back into Notion.

Sales database

This database is loaded into Python's Pandas DataFrame every day, analysed and visualized. You can find the analysis, visualizations and the source code here.

Finally, we can embed the final analysis directly into Notion. The following graph shows sales per country.

https://embed.deepnote.com/1abb082c-b452-448d-83a0-9ef33cb24bbd/eecbe27c-b88e-4fc4-be46-3db57fd7222c/00005-563b703c-688f-4a86-94f9-06fcf0f7dd3e?height=83

We want to keep data fresh, so we scheduled the Deepnote notebook to run every day in the morning.

Example feature showcase.png

As we can see, the data is fresh!

https://embed.deepnote.com/1abb082c-b452-448d-83a0-9ef33cb24bbd/eecbe27c-b88e-4fc4-be46-3db57fd7222c/00006-efb7c0f9-5a6d-4b61-901c-2efaf8b9537c?height=89