For Data Scientists & ML Engineers · Packaged Foods Meats
Packaged Foods & Meats Data for Data Scientists
Packaged Foods Meats data for data scientists: 13 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.
Which packaged foods & meats datasets qualify for data-science work?
This slice keeps the thirteen packaged foods & meats records that clear Datadory's relevance bar for data scientists and ML engineers — six score maximum relevance 3, another six sit at relevance 2. Quality runs above the domain norm: the slice averages 8.7 of 10 against the 7.81 catalog-wide mean across the 1,744 datasets Datadory catalogs, two sources hit a perfect 10, and nine of thirteen score 9 or higher versus 62.8% (1,096 datasets) everywhere else. Browse the packaged-foods-meats data hub for the full industry inventory, or the all data-scientists resources hub for sibling slices.
How fresh are these feeds, and what does that mean for pipelines?
Daily sources support drift monitoring on product attributes and spot prices, monthly vintages such as ERS Food Price Outlook suit forecast evaluation, and the two annual archives are baseline material rather than streaming inputs.
Straight answers
Can I use packaged foods data as alternative data for quantitative research?
Yes. USDA GATS documents monthly HS-10 US agricultural trade flows behind a JSON API, and ERS Food Price Outlook exposes monthly forecast vintages of CPI/PPI percent changes spanning 1974 to 2025.
Where do I get training data for packaged foods models?
Match the grain: product-level features from Open Food Facts' 4.7M products, per-100g nutrient vectors joined through the USDA FoodData Central API by keyword, brand or UPC, supply-side targets from NASS Quick Stats livestock and slaughter series, and demand targets from the ERS Food Expenditure Series dating to 1889.
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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