From the course: Build with AI: Data Pipelines with Cursor, Neon, and Streamlit

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Build a Streamlit dashboard

Build a Streamlit dashboard

- [Instructor] We have built a powerful data pipeline that allows us to extract data on academic papers and store that data. But now the crucial question is how do we analyze this data? How do we extract insights from this data? And the ideal answer to this question is visualization. Visualization is key to allow people to work with data. So for now, we have our pipeline, and we can write SQL queries, we can export files, we can look at our table in Neon, but none of that is as powerful as having a dashboard where we can visualize our data. And this is where Streamlit comes into place. Streamlit is an open source solution to quickly and easily build beautiful dashboards in Python. And we're going to leverage Streamlit to visualize our data and build an interactive dashboard. Now, the first step would be to install the Streamlit Python library in our code base. But you might remember that we've already done this, when we…

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