For Data Scientists & ML Engineers · Aluminum
Aluminum Data for Data Scientists
Aluminum data for data scientists: 10 datasets on one shelf. Every one delivered as API, files, or warehouse rows.
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API, files, or your warehouse. Daily, weekly, or hourly.
How we ranked these aluminum datasets for data scientists
Datadory catalogs 13 primary aluminum datasets and scored each source for quality; the catalog-wide average is 7.81 out of 10. These 10 average a 7.10 quality score, slightly under the catalog mean because aluminum coverage skews toward PDF statistical yearbooks.
Which aluminum datasets load straight into pandas?
Only one aluminum source ships Parquet: the Hugging Face price dataset, whose auto-converted files drop into pandas with a single read_parquet call. That scarcity mirrors the wider catalog — just 4.9% of the 1,744 datasets Datadory catalogs ship Parquet, even though 22.6%.
Where does aluminum fit in the wider Datadory catalog?
Aluminum is one of the 159 viable industries in Datadory's 1,744-dataset catalog. Cross-industry picks for this persona live in the best datasets for data scientists, and head-to-head scoring for the top records is in the USGS summaries-versus-IAI comparison.
Straight answers
Where can I find alternative data for quantitative research on aluminum?
USA Trade Online provides monthly US import and export volumes by HS code, partner country, state and port from January 2002 — flow detail most price vendors never publish. Pair it with International Aluminium Institute production across ten regions since 1973 and USGS apparent-consumption tables to build fundamental factors.
Rows before rollout
Sample rows from any shelf entry — the field dictionary and coverage notes ride along. If the shelf misses what you need, say so; sourcing requests are half our job.
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