Create a Jupyter Notebook that, using `polars` to process the data, does a thorough exploratory data analysis of data saved in `youtube_videos.db`, for all columns.
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Per-script thresholds would dramatically reduce false positive rates. Treating Mathematical Alphanumeric Symbols with the same urgency as Cyrillic makes no sense when the data shows a 0.145 gap in mean SSIM between them.
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