Food Delivery: 8,500 Synthetic Indonesian Operational Records

8,500 rows of synthetic operational and customer satisfaction data simulate the Indonesian food delivery market, authored by ZakyF in 2026. The records mimic services like GoFood or GrabFood and are engineered with intentional data quality issues like outliers and missing values.

Use Cases

• Developing data cleaning pipelines to handle the intentional missing values and outliers
• Analyzing customer satisfaction trends based on simulated feedback scores
• Optimizing delivery operations by modeling the messy operational data

Strengths

• 8,500 records
• Simulates specific Indonesian market dynamics
• Includes intentional data quality issues for training

Limitations

• Synthetic nature may not capture complex human behavioral nuances
• Small scale of 8,500 rows
• Geographic focus limited to Indonesian market simulations

Provenance

Source

ZakyF via Hugging Face

Collection Method

synthetic (generated via Python notebook)

Freshness

Last updated March 2026.

Geography

Indonesia