This chart shows the distribution of reports in B categories - Street Lights for Reports by hour of day.
This analysis has used a chi-square test to examine the differences between this distribution and how it would be expected to be distributed if behaved identically to the general dataset (all reports).
The test statistic is 71,221.46 and the p-value is <0.00001.
As each graph only explores the interaction of two variables analysis may be incomplete or misleading where other variables interact with both. A relationship can be statistically significant without necessarily implying one causes the other.
Columns in Red and Blue have at least a 95% chance of a real difference from the general dataset and at least a 1% different from the expected value.
Red means a category has more reports than expected. Blue means it has less.
This chart shows the percentage of this type or report (B categories - Street Lights) as a percentage of reports of the same category in the overall dataset.
Dataframe for chart: Actual vs expected
Subtitles:
Reports by hour of day
FixMyStreet - B categories - Street Lights
item
Reports
tooltip
style
series
0
4419
Actual: 4419
berry
A
1
2245
Actual: 2245
berry
A
2
1180
Actual: 1180
berry
A
3
880
Actual: 880
berry
A
4
676
Actual: 676
berry
A
5
1056
Actual: 1056
berry
A
6
2478
Actual: 2478
berry
A
7
4684
Actual: 4684
blue
A
8
7654
Actual: 7654
blue
A
9
11943
Actual: 11943
blue
A
10
12030
Actual: 12030
blue
A
11
11692
Actual: 11692
blue
A
12
10598
Actual: 10598
blue
A
13
9601
Actual: 9601
blue
A
14
9792
Actual: 9792
blue
A
15
9463
Actual: 9463
blue
A
16
10439
Actual: 10439
blue
A
17
11394
Actual: 11394
blue
A
18
12487
Actual: 12487
berry
A
19
14295
Actual: 14295
berry
A
20
15061
Actual: 15061
berry
A
21
15662
Actual: 15662
berry
A
22
14858
Actual: 14858
berry
A
23
8977
Actual: 8977
berry
A
0
2057
Expected: 2057
dark grey
E
1
948
Expected: 948
dark grey
E
2
501
Expected: 501
dark grey
E
3
340
Expected: 340
dark grey
E
4
305
Expected: 305
dark grey
E
5
576
Expected: 576
dark grey
E
6
1819
Expected: 1819
dark grey
E
7
5269
Expected: 5269
dark grey
E
8
10577
Expected: 10577
dark grey
E
9
15126
Expected: 15126
dark grey
E
10
15795
Expected: 15795
dark grey
E
11
15922
Expected: 15922
dark grey
E
12
15045
Expected: 15045
dark grey
E
13
14620
Expected: 14620
dark grey
E
14
14751
Expected: 14751
dark grey
E
15
14538
Expected: 14538
dark grey
E
16
13839
Expected: 13839
dark grey
E
17
11778
Expected: 11778
dark grey
E
18
10589
Expected: 10589
dark grey
E
19
9923
Expected: 9923
dark grey
E
20
9459
Expected: 9459
dark grey
E
21
8499
Expected: 8499
dark grey
E
22
7026
Expected: 7026
dark grey
E
23
4251
Expected: 4251
dark grey
E
This chart draws out differences between actual and expected values in this dataset (how far off this category is from the typical distribution of the wider data).
This helps to demonstrate the scale of any deviation from the general dataset. When the amount of data available is large, a difference can be statistically significant while being relatively small.
Dataframe for chart: Percentage difference
Subtitles:
A red bar means the value is higher than expected for a 'typical' report, blue means it is lower.
FixMyStreet - B categories - Street Lights
Item
style
Percentage
tooltip
0
berry
114.83
Difference: 114.83
1
berry
136.81
Difference: 136.81
2
berry
135.53
Difference: 135.53
3
berry
158.82
Difference: 158.82
4
berry
121.64
Difference: 121.64
5
berry
83.33
Difference: 83.33
6
berry
36.23
Difference: 36.23
7
blue
-11.10
Difference: -11.1
8
blue
-27.64
Difference: -27.64
9
blue
-21.04
Difference: -21.04
10
blue
-23.84
Difference: -23.84
11
blue
-26.57
Difference: -26.57
12
blue
-29.56
Difference: -29.56
13
blue
-34.33
Difference: -34.33
14
blue
-33.62
Difference: -33.62
15
blue
-34.91
Difference: -34.91
16
blue
-24.57
Difference: -24.57
17
blue
-3.26
Difference: -3.26
18
berry
17.92
Difference: 17.92
19
berry
44.06
Difference: 44.06
20
berry
59.22
Difference: 59.22
21
berry
84.28
Difference: 84.28
22
berry
111.47
Difference: 111.47
23
berry
111.17
Difference: 111.17
This chart shows the percentage difference between the expected and actual result - representing the scale of difference between this category and the general dataset.
Dataframe for chart: Absolute difference
Subtitles:
A red bar means the value is higher than expected for a 'typical' report, blue means it is lower.
FixMyStreet - B categories - Street Lights
Item
style
Reports
tooltip
0
berry
2362
Difference: 2362
1
berry
1297
Difference: 1297
2
berry
679
Difference: 679
3
berry
540
Difference: 540
4
berry
371
Difference: 371
5
berry
480
Difference: 480
6
berry
659
Difference: 659
7
blue
-585
Difference: -585
8
blue
-2923
Difference: -2923
9
blue
-3183
Difference: -3183
10
blue
-3765
Difference: -3765
11
blue
-4230
Difference: -4230
12
blue
-4447
Difference: -4447
13
blue
-5019
Difference: -5019
14
blue
-4959
Difference: -4959
15
blue
-5075
Difference: -5075
16
blue
-3400
Difference: -3400
17
blue
-384
Difference: -384
18
berry
1898
Difference: 1898
19
berry
4372
Difference: 4372
20
berry
5602
Difference: 5602
21
berry
7163
Difference: 7163
22
berry
7832
Difference: 7832
23
berry
4726
Difference: 4726
This chart shows the absolute difference between the expected and actual result - representing how many more or less reports were received in this category compared to what was expected.