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How to Normalize Data to a 3 Sigma Model: Best Practices and Common Pitfalls? - Printable Version +- Proxy Community (https://proxycommunity.com/forum) +-- Forum: Technical Community Support (https://proxycommunity.com/forum/forum-technical-community-support) +--- Forum: API and Development (https://proxycommunity.com/forum/forum-api-and-development) +--- Thread: How to Normalize Data to a 3 Sigma Model: Best Practices and Common Pitfalls? (/thread-how-to-normalize-data-to-a-3-sigma-model-best-practices-and-common-pitfalls) |
“” - fastDrifter99 - 15-03-2025 Hey! So, I’ve been working on something similar, and I found that z-scores are the best way to normalize data to a 3 sigma model. But here’s a tip: always check your data for normality first. If it’s not normally distributed, you might need to transform it before scaling. Also, if you’re using Python, check out the `scipy.stats.zscore` function. It’s super easy to use and can save you a ton of time. And don’t forget to watch out for outliers—they can really mess with your results. |