Info & Data

Everything you need to know about the dataset, methodology, and how we transform raw trips into actionable insights.

Records

~50k

Fields

20+

Dataset overview

The dataset contains anonymized trip summaries collected across multiple vehicle types. Each row represents an aggregated daily summary per vehicle and location. We carefully clean and normalize fields such as ride date, vehicle type, trip duration, and trip distance before analysis.

Source

Partner telemetry

Format

CSV (cleaned)

License

Internal / Shared

Methodology

We perform structured cleansing, deduplication, and type normalization. Aggregations are computed per day and vehicle type; durations and distances are converted to consistent units and outliers are flagged using robust statistical thresholds.

Cleaning

Null handling, trimming, and date parsing.

Aggregation

Daily summaries and weekday grouping for trend analysis.

Anomalies

Zero/negative trips detected and flagged; long-trip outliers identified.

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