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5 results for deepnote.com:

robert_ritz OP t1_it7guxr wrote

www.datafantic.com/whats-up-with-airbnb-cleaning-fees/). To see the code and data for this check it out on [Deepnote](https://deepnote.com/workspace/datafantic-3bd1a992-4cfb-4c56-aaaf-931ce087ce8c/project/2022-10-20-Whats-up-with-Airbnb-fees-3a09bbfb-7f5f-46b3-8fa0-788f71b2887f/notebook/02%20-%20Exploring%20Fees-6d942b81aec849c794cf4298106189ae). Tools used: Python, Pandas, Numpy, Matplotlib Approximately 300 listings from each city were scraped from Airbnb

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robert_ritz OP t1_iuq3vpq wrote

view the code and data used to generate this plot, you can find it [here](https://deepnote.com/workspace/datafantic-3bd1a992-4cfb-4c56-aaaf-931ce087ce8c/project/2022-08-17-Top-songs-when-I-was-in-high-school-7c21eb15-caf5-4a09-9d2b-13b3512c0e34/%2F00%20-%20What%20songs%20were%20hot%20when%20you%20were%20in%20high%20school%3F.ipynb).

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nickinkorea OP t1_izwr9ku wrote

rules, hopefully this one sticks! Python & plotly! Full data, including code, can be found here: https://deepnote.com/workspace/nick-ddf4-fa47b8cd-3acd-41f8-aa2d-9e1e2d778508/project/Pooplog-1bd1f268-de01-49f8-8eea-2292dabe4163/notebook/Notebook%201-23514d59ae444729a7cfb55ee85c1084

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