Avishek Panigrahi - Bad data - anecdotes and examples from the real world | PyData NYC 2023

www.pydata.org

https://drive.google.com/file/d/1kNBo...

Many data science initiatives fail because of the unavailability of good data.

In this talk, I go over examples of bad data I’ve encountered in real life projects. I present hypotheses about the reasons that lead to bad data; tools, techniques and patterns to “debug and correct” bad data; simple workflows for validation, verification and automation to identify bad data using commonly available tools from the PyData and Python ecosystem. Finally, I’ll go over some prescriptive techniques for how you can approach data projects with non-ideal-data to improve odds of success.

PyData is an educational program of NumFOCUS, a 501(c)3 non-profit organization in the United States. PyData provides a forum for the international community of users and developers of data analysis tools to share ideas and learn from each other. The global PyData network promotes discussion of best practices, new approaches, and emerging technologies for data management, processing, analytics, and visualization. PyData communities approach data science using many languages, including (but not limited to) Python, Julia, and R.

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