How to load hundreds of datasets in a Streamlit app with PyDataset

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In this video, you'll learn from @DataProfessor how to use the PyDataset Python library in a Streamlit app to access hundreds of datasets.

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I’ve a question regarding using streamlit. I have a python notebook created for analyzing some citizen science data for one particular city. I want to replicate the same kind of analysis for different cities. Example, load the data, clean data, do the basic statistical analysis and machine learning models etc.

I want to automate this functions so people can do the same task without coding. Is steamlit suitable for this ? Thanks

zahrafarook
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This should work:

idx = == selected_data]
title_data = data().at[idx[0], 'title']

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