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Python Data Cleaning and Preparation Best Practices:
A practical guide to organizing and handling data from various sources and formats using Python
English | 2024 | ISBN: 1837634742 | 744 Pages | EPUB (True) | 13 MB
Professionals face several challenges in effectively leveraging data in today's data-driven world. One of the main challenges is the low quality of data products, often caused by inaccurate, incomplete, or inconsistent data. Another significant challenge is the lack of skills among data professionals to analyze unstructured data, leading to valuable insights being missed that are difficult or impossible to obtain from structured data alone.

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