Monthly Drug Inventory and Demand Data for Forecasting

Hashan-7's Drug Demand Dataset provides historical monthly inventory data for multiple drug brands, including stock levels, issued quantities, and received quantities. The dataset includes a raw file and a feature-engineered version with time-series features such as lag values and rolling statistics. It was last updated on Hugging Face in April 2026.

Use Cases

• Forecasting monthly drug demand based on historical stock and issued quantity data.
• Training time-series models using engineered features like lag values and rolling statistics.
• Analyzing inventory trends and supply patterns for multiple drug brands.

Strengths

• Includes a feature-engineered version (drugs_featured.csv) specifically prepared for model training.
• Contains multiple time-series features, such as lag values and rolling statistics, as mentioned in the description.
• Data is structured for monthly inventory analysis across multiple drug brands.

Limitations

• Column-level documentation is absent; field semantics must be inferred after download.
• Row count, file size, and license information are unknown, which may limit suitability assessment.
• Description metadata is limited; actual data quality requires manual inspection after download.

Provenance

Source

Hugging Face user hashan-7.

Collection Method

Likely compiled from medical inventory records; specific gathering method is unknown.

Time Range

Temporal coverage is not specified.

Freshness

Last updated 2026-04-19 17:52:20; freshness should be verified.

Geography

Spatial coverage is not specified.