Deutsche GigaNetz - Detailed Analysis
Comprehensive disruption statistics and trends
Total Reports
Affected Users
Unique Reporters
Avg per Day
Average Reports
Peak Time
Highest Activity
Comparison to Previous Period
Current Period
14
08.10.25 - 07.11.25
Significant increase in disruptions
Comparison to Average
Current (last 30 days)
14
Ungewöhnliche Aktivität erkannt
Weekly Pattern
Most disruptions occur during weekdays
Daily Pattern
Highest activity in the afternoon (12 PM - 6 PM)
Peak Time: 12:00 - 18:00
Trend
Disruptions are increasing over time
Detected Anomalies
Do., 6. Nov.
Expected: ~2 | Actual: 4
Trend Analysis
Trend
→ Stable
Average
0
Volatility
1
Hourly Distribution
The hourly distribution shows patterns in disruption reports throughout the day.
Weekday Analysis
Average disruption reports per weekday based on the last 30 days.
Activity Heatmap
Shows the intensity of disruption reports by day of week and hour.
Severity Timeline
Minor Disruptions
13.10.2025 - 06.11.2025
14
9 Tage
0
0%
9
100%
0
0%
0
0%
Report Frequency Distribution
Average Interval
2 Tage
Median Interval
1 Tage
Most Frequent Category
> 24 h