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Stata imports may store numeric-looking variables as strings, breaking analysis commands. Learn to detect the type with describe and convert safely using destring.
Learn when to use Stata's 1:1 and m:1 merge commands, how the _merge variable works, and how to avoid type mismatches and data duplication when combining datasets.
Discover a minimal yet powerful Elasticsearch ILM policy that automates hot‑warm‑cold tiering, cost control, and data retention, complete with operational checks and safeguards for production clusters.
Stop repeating layout and tag declarations in every Markdown file. Learn how the Eleventy Data Cascade merges global, directory, and template data to keep your project DRY.
How to pick the right Stata merge type (1:1, 1:m, m:1), validate keys with isid and duplicates tag, and read the _merge variable to catch mismatches before they corrupt your data.
Stata 16's frames let you hold multiple datasets in memory and link them with frlink/frget instead of merge-and-save cycles. A worked example, plus the honest trade-offs.
Learn how to use the Eleventy Data Cascade to eliminate redundancy by structuring shared data across global, directory, and page levels.
Stop repeating the same front matter in every Markdown file. Learn how to use the Eleventy Data Cascade to manage site-wide, directory-specific, and file-level metadata efficiently.
stata
elasticsearch
eleventy