Total Reports
Affected Users
Unique Reporters
Avg per Day
Average Reports
Peak Time
Highest Activity
Comparison to Previous Period
Current Period
229
30.08.25 - 29.09.25
Significant increase in disruptions
Comparison to Average
Current (last 30 days)
229
Weekly Pattern
Most disruptions occur during weekdays
Daily Pattern
No pronounced daily peak detected
Peak Time: All Day
Trend
Disruptions are increasing over time
Detected Anomalies
Di., 2. Sept.
Expected: ~8 | Actual: 40
Mi., 10. Sept.
Expected: ~8 | Actual: 18
Do., 4. Sept.
Expected: ~8 | Actual: 16
Trend Analysis
Trend
↑ Increasing
Average
8
Volatility
7
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
27.09.2025 - 29.09.2025
11
3 Tage
Major Disruptions
26.09.2025
12
1 Tag
Minor Disruptions
23.09.2025 - 25.09.2025
17
3 Tage
Major Disruptions
22.09.2025
11
1 Tag
Minor Disruptions
12.09.2025 - 21.09.2025
42
10 Tage
Major Disruptions
10.09.2025 - 11.09.2025
28
2 Tage
Minor Disruptions
08.09.2025 - 09.09.2025
9
2 Tage
Major Disruptions
07.09.2025
11
1 Tag
Minor Disruptions
05.09.2025 - 06.09.2025
11
2 Tage
Major Disruptions
02.09.2025 - 04.09.2025
71
3 Tage
0
0%
22
73%
8
27%
0
0%
Report Frequency Distribution
Average Interval
3 Std
Median Interval
58 Min
Most Frequent Category
1-3 h