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Loading CSV and SQL Data into Pandas

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29 May 2020CPOL4 min read
In this second part of the Data Cleaning with Python and Pandas series, now that we have a Jupyter Notebook set up and some basic libraries initialized, we need to load some data. To do this, we’ll load data from a CSV file, as well as from a local SQLite database.
The first step in any data analysis process is to ingest the dataset, evaluate how clean it is, and decide what we need to do to fix inherited issues.

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This article, along with any associated source code and files, is licensed under The Code Project Open License (CPOL)

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About the Author

Glenn Prince
Architect
United States United States
Hi! I'm a Solution Architect, planning and designing systems based in Denver, Colorado. I also occasionally develop web applications and games, as well as write. My blog has articles, tutorials and general thoughts based on more than twenty years of misadventures in IT.

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