Data Science for Agricultural and Applied Economics
AAE 718 introduces data science concepts for agricultural economics using Python and R for data processing and visualization.
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Introduction to data and data processing using both Python and R programming languages. Concepts covered include loading data, data acquisition, cleaning data, visualization/exploring data, and storing data.
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Model & dataset provenance
{
"model": "nvidia/Qwen3.6-35B-A3B-NVFP4",
"model_revision": "1355db6a052410cfd62085d94b58866fd0f2c3c5",
"task_version": "14",
"output_id": "c7683eb43cd51746e77c3f83aa6b032b3d9652ecdd9348fe3a11552af52173e5",
"requirements_status": "valid",
"dataset_revision": "e243353dcb7d79b7247ced91d69443ef4c2a6349",
"observed_at": "2026-09-07 15:55:43.033547+00:00"
}