From the course: Advanced Pandas
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Accelerate EDA with pandas-Profiling
- [Instructor] The popularity and usefulness of Pandas has put it at the center of the Python data analysis universe. So it's no surprise that it's spawned countless sister packages and dependencies throughout the Python ecosystem. One related package, which I highly encourage you to use, particularly if you want to accelerate your exploratory data analysis, is Pandas Profiling. This simple and intuitive package will effectively take your data frame and output an interactive and highly comprehensive profile for each variable in your data. It surfaces the descriptive statistics for each variable, provides a correlation matrix, and assesses the data quality, and more. Much of the proceeding work in this course can more readily be done with Pandas Profiling. Excited? Me too. Let's dive in. In addition to importing Pandas, we'll want to import ProfileReport from pandas_profiling. If you don't have this installed, you can…
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