Data deviation and distribution play crucial roles in data analysis and statistics. They help us understand the variability and patterns within datasets, which is essential for making informed decisions in various fields such as finance, healthcare, marketing, and more. Python, with its rich ecosystem of libraries like NumPy, Pandas, and Matplotlib, provides powerful tools for analyzing and...
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