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PennyroyalTea
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lime

Convert Lime GDPR CSV exports into interactive visual dashboards.

4|Updated Apr 6, 2026
Search Tags:#data visualization#dashboard#geospatial#spatial analysis#personal data#csv processing
One-click install
npx skills add https://github.com/PennyroyalTea/awesome-gdpr-vis --skill lime-pennyroyaltea
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: lime
Source: https://github.com/PennyroyalTea/awesome-gdpr-vis/tree/main/lime
Command: npx skills add https://github.com/PennyroyalTea/awesome-gdpr-vis --skill lime-pennyroyaltea

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill requires leaflet, deck.gl, chart.js, and includes scripts (resource) and references (resource) components.

What problem does it solve?

This Skill enables users to build interactive visualizations of their Lime eBike and scooter GDPR data exports, simplifying the analysis of riding patterns, locations, and usage metrics.

Core Features & Use Cases

  • Visual Data Dashboards: Create maps, charts, and analytics to explore trip history, spatial habits, and spending trends.
  • Data Processing: Aggregate CSV data into JSON for efficient rendering and interaction.
  • Use Case: A user can upload their Lime trip and payment data to generate a monthly ride summary, heatmaps of favorite locations, and surveillance analysis visualizations, all without complex setup.

Quick Start

Request your Lime data, preprocess the CSV files into JSON, then load the resulting dashboard HTML file and prompt it to visualize your data.

Frequently Asked Questions about lime

High-intent search queries and answers about installing and using this skill.

FAQPage Schema
How do I visualize Lime GDPR data exports from CSV files?▼

To visualize Lime GDPR data, this Skill converts your trip, payment, and app event CSV exports into interactive visual dashboards. It aggregates CSV data into JSON for efficient rendering and layered map visualizations.

Can I create spatial heatmaps and trip history charts from Lime scooter data?▼

Yes, you can generate spatial heatmaps and trip history charts from Lime scooter data. The dashboards leverage Leaflet and deck.gl for map visualizations, alongside Chart.js for temporal and behavioral analytics.

What is the best way to process personal Lime eBike trip data for spatial analysis?▼

The best way to process personal Lime eBike trip data for spatial analysis is preprocessing the GDPR exports into JSON. This enables comprehensive exploration of riding patterns and locations through layered visual maps.

Do I need Leaflet and deck.gl to build interactive dashboards for Lime app events?▼

Yes, Leaflet and deck.gl are required to build interactive dashboards for Lime app events. These libraries handle the layered map visualizations and spatial data rendering for your GDPR exports.

Does this Skill support monthly ride summaries and spending trend analysis from Lime CSV exports?▼

Yes, this Skill supports monthly ride summaries and spending trend analysis from Lime CSV exports. It transforms your payment and trip records into visual analytics without requiring complex setup.

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