EDAAnalyzer
Comprehensive EDA with telemetry stats, lap analysis, and metadata discovery
Configuration
- Slice Type:
lap - Metadata Only: False
When to Use
- User asks 'what data do I have' or 'show me my telemetry'
- User wants to understand data quality before detailed analysis
- User asks about available channels or data completeness
- User wants to find correlations between telemetry channels
- User asks about lap time distribution or consistency
- User wants fuel consumption analysis
- Data scientist exploring unfamiliar telemetry dataset
Options
| Option | Type | Default | Description |
|---|---|---|---|
granularity | Literal[coarse, normal, detailed] | "normal" | Level of detail in analysis output |
comparison_mode | Literal[absolute, relative, percentage] | "absolute" | How to compare metrics across subjects |
sample_limit | int | 10000 | Maximum telemetry samples to analyze (0 = no limit) Constraints: ≥ 0 |
top_correlations | int | 10 | Number of top correlation pairs to include Constraints: ≥ 1, ≤ 50 |
include_enriched_metadata | bool | True | Include discovered track/car/session fields in output |
lap_selection | str | "all" | Lap selection mode: 'all', 'best', 'n_best' Choices: all, best, n_best |
n_best_laps | int | None | 5 | Number of best laps when lap_selection='n_best' |
Examples
Example 1
User Query: What telemetry data do I have?
Call:
analyze(analyzers='eda', event='...')
Explanation: Shows all channels, lap metadata, and discovered metadata
Example 2
User Query: How consistent were my lap times?
Call:
analyze(analyzers='eda', event='...')
Explanation: Shows lap time distribution with mean, std, quartiles
Example 3
User Query: What's my fuel consumption?
Call:
analyze(analyzers='eda', event='...')
Explanation: Shows fuel consumption statistics per lap