This chart shows the distribution of reports in B categories - Rubbish 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 - Rubbish) 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 - Rubbish
item
Reports
tooltip
style
series
0
3980
Actual: 3980
blue
A
1
1714
Actual: 1714
blue
A
2
825
Actual: 825
blue
A
3
568
Actual: 568
blue
A
4
580
Actual: 580
blue
A
5
1290
Actual: 1290
blue
A
6
5339
Actual: 5339
berry
A
7
16800
Actual: 16800
berry
A
8
32250
Actual: 32250
berry
A
9
41839
Actual: 41839
berry
A
10
42785
Actual: 42785
berry
A
11
43123
Actual: 43123
berry
A
12
38950
Actual: 38950
berry
A
13
37226
Actual: 37226
berry
A
14
36500
Actual: 36500
light grey
A
15
35331
Actual: 35331
blue
A
16
33714
Actual: 33714
blue
A
17
28922
Actual: 28922
blue
A
18
25685
Actual: 25685
blue
A
19
22268
Actual: 22268
blue
A
20
19820
Actual: 19820
blue
A
21
16545
Actual: 16545
blue
A
22
12903
Actual: 12903
blue
A
23
8041
Actual: 8041
blue
A
0
5123
Expected: 5123
dark grey
E
1
2362
Expected: 2362
dark grey
E
2
1249
Expected: 1249
dark grey
E
3
847
Expected: 847
dark grey
E
4
761
Expected: 761
dark grey
E
5
1434
Expected: 1434
dark grey
E
6
4530
Expected: 4530
dark grey
E
7
13124
Expected: 13124
dark grey
E
8
26343
Expected: 26343
dark grey
E
9
37675
Expected: 37675
dark grey
E
10
39339
Expected: 39339
dark grey
E
11
39656
Expected: 39656
dark grey
E
12
37473
Expected: 37473
dark grey
E
13
36413
Expected: 36413
dark grey
E
14
36740
Expected: 36740
dark grey
E
15
36208
Expected: 36208
dark grey
E
16
34467
Expected: 34467
dark grey
E
17
29335
Expected: 29335
dark grey
E
18
26375
Expected: 26375
dark grey
E
19
24715
Expected: 24715
dark grey
E
20
23560
Expected: 23560
dark grey
E
21
21167
Expected: 21167
dark grey
E
22
17499
Expected: 17499
dark grey
E
23
10589
Expected: 10589
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 - Rubbish
Item
style
Percentage
tooltip
0
blue
-22.31
Difference: -22.31
1
blue
-27.43
Difference: -27.43
2
blue
-33.95
Difference: -33.95
3
blue
-32.94
Difference: -32.94
4
blue
-23.78
Difference: -23.78
5
blue
-10.04
Difference: -10.04
6
berry
17.86
Difference: 17.86
7
berry
28.01
Difference: 28.01
8
berry
22.42
Difference: 22.42
9
berry
11.05
Difference: 11.05
10
berry
8.76
Difference: 8.76
11
berry
8.74
Difference: 8.74
12
berry
3.94
Difference: 3.94
13
berry
2.23
Difference: 2.23
14
light grey
-0.65
Difference: -0.65
15
blue
-2.42
Difference: -2.42
16
blue
-2.18
Difference: -2.18
17
blue
-1.41
Difference: -1.41
18
blue
-2.62
Difference: -2.62
19
blue
-9.90
Difference: -9.9
20
blue
-15.87
Difference: -15.87
21
blue
-21.84
Difference: -21.84
22
blue
-26.26
Difference: -26.26
23
blue
-24.06
Difference: -24.06
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 - Rubbish
Item
style
Reports
tooltip
0
blue
-1143
Difference: -1143
1
blue
-648
Difference: -648
2
blue
-424
Difference: -424
3
blue
-279
Difference: -279
4
blue
-181
Difference: -181
5
blue
-144
Difference: -144
6
berry
809
Difference: 809
7
berry
3676
Difference: 3676
8
berry
5907
Difference: 5907
9
berry
4164
Difference: 4164
10
berry
3446
Difference: 3446
11
berry
3467
Difference: 3467
12
berry
1477
Difference: 1477
13
berry
813
Difference: 813
14
light grey
-240
Difference: -240
15
blue
-877
Difference: -877
16
blue
-753
Difference: -753
17
blue
-413
Difference: -413
18
blue
-690
Difference: -690
19
blue
-2447
Difference: -2447
20
blue
-3740
Difference: -3740
21
blue
-4622
Difference: -4622
22
blue
-4596
Difference: -4596
23
blue
-2548
Difference: -2548
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.