Tag: data analysis

Evan Miller's statistics pages are useful because they speak to programmers who need decision math, not notation theater. This one is especially good as a quick reference for formulas that show up in experiments and product metrics.

Worth keeping near the statistics posts because it encourages the right instinct: make the uncertainty explicit before turning a number into a decision.

This is an older link, but the basics age well: understand the question, inspect the data, be skeptical of easy patterns, and communicate the analysis so someone can use it.

I am keeping the original http URL because that is the canonical source that still resolves. The content fits the site's recurring theme: analysis is decision support, not chart production.

This is a practical reference link for the part of data science that happens before the model: selecting, filtering, grouping, reshaping, and checking tabular data.

I would not treat a cheat sheet as a learning path, but it is exactly the kind of link that saves context switching during exploratory analysis.

PCA is one of those concepts that gets overused and under-explained. This is a useful reference for the intuition, terminology, and tradeoffs around dimensionality reduction.

Keeping it because PCA sits at a nice intersection for this site: linear algebra, exploratory data analysis, feature review, and the danger of compressing structure before you know what matters.