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Random sampling, reproducibility, subsetting, and counting outcomes — all through a simple coin flip simulation. The concepts here apply everywhere in data analysis.
Generate synthetic data, compute descriptive stats, filter by condition, and cap outliers using winsorization — the core data cleaning toolkit in base R.
How the creative economy is evolving: the size of the creator economy, declining institutional trust, the evidence on arts education outcomes, and the growing role of data in creative fields.
Main effects tell you what each variable does in isolation. Interaction effects tell you whether the combination matters. Here's how to test for both using Python's statsmodels.
Analytics engineer turning fragmented tidbits into confidence: messy data structured, patterns caught early, answers made plain with AI.
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