DASHBOARDING
Last reviewed: 2026-05-29
Purpose: Dashboard design and data visualization techniques — covering real-time monitoring dashboards, tool selection, and visual best practices.
Contents
Overview
This folder covers dashboard design principles, visualization techniques, and tool selection for monitoring, analytics, and operations dashboards.
Dashboard Types
- Operational/Monitoring Dashboards — Real-time metrics, alerts, SLAs (Grafana, Prometheus)
- Analytical/Business Dashboards — Historical trends, KPIs, reports (Power BI, Tableau)
- Executive Dashboards — High-level summaries, scorecards, drill-down capability
- Technical Dashboards — System health, performance, logs, traces
Real-World Examples
The training ecosystem includes working dashboards across multiple tools:
Grafana Observability Dashboard (RL Parser)
- Pub/Sub publish rate by event type (time series)
- Latency percentiles (p50, p95, p99)
- Error rates and error counts
- Total events published (stat/gauge)
- Event distribution (pie chart)
- Distributed tracing views from Jaeger
Streamlit Dashboard (Wikipedia Changes)
- Metric cards with delta indicators (changes, users, domains per minute)
- Time series line chart of changes/users/domains trends
- Bot vs non-bot pie chart
- Top users, top bots, top non-bots bar charts
- Drill-down by user (domain and change type breakdown)
- Auto-refresh with configurable interval
Plotly Dash Dashboard (Wikipedia Changes)
- Real-time indicator gauges with delta
- Auto-updating time series (1-second interval)
- Live timestamp display