The core of Statistical Process Control (SPC) lies in the understanding of variation. The challenge with using data is that variation can make charts confusing, making it difficult to interpret if things are going well or poorly. SPC pioneers, like W. Edwards Deming, highlighted that the inability to handle variation is a primary obstacle to becoming data-driven. SPC offers a concise set of tools to effectively manage and interpret variation in data analysis.

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