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1blu - Detailed Analysis

Comprehensive disruption statistics and trends

Time Range: 30.08.25 - 29.09.25

Total Reports

2
+100%vs. Previous Period

Affected Users

2

Unique Reporters

Avg per Day

0

Average Reports

Peak Time

9:00

Highest Activity

Comparison to Previous Period

Current Period:30.08.2025 - 29.09.2025
Previous Period:31.07.2025 - 30.08.2025

Current Period

2

30.08.25 - 29.09.25

+100%
Previous Period (31.07.25 - 30.08.25)1
Difference+1

Significant increase in disruptions

Comparison to Average

Average Period:29.03.2025 - 29.09.2025

Current (last 30 days)

2

+50%
6-Monats-Durchschnitt (29.03.25 - 29.09.25)1
Abweichung+1

Weekly Pattern

Weekday Focus

Most disruptions occur during weekdays

Daily Pattern

Uniform

No pronounced daily peak detected

Peak Time: All Day

Trend

Increasing

Disruptions are increasing over time

Trend Analysis

Trend

→ Stable

Average

0

Volatility

0

Hourly Distribution

The hourly distribution shows patterns in disruption reports throughout the day.

Weekday Analysis

Mo
2

Average disruption reports per weekday based on the last 30 days.

Activity Heatmap

Su
Mo
Tu
We
Th
Fr
Sa
0
1
2
3
4
5
6
7
8
9
10
11
12
13
14
15
16
17
18
19
20
21
22
23
Less
More

Shows the intensity of disruption reports by day of week and hour.

Severity Timeline

01.09.202501.09.2025

Minor Disruptions

01.09.2025

2

1 Tag

0

0%

1

100%

0

0%

0

0%

Report Frequency Distribution

Average Interval

3 Std

Median Interval

3 Std

Most Frequent Category

1-3 h

< 5 min
0
5-15 min
0
15-30 min
0
30-60 min
0
1-3 h
1
3-6 h
0
6-12 h
0
12-24 h
0
> 24 h
0

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