Explorer: FixMyStreet

B categories - Dog Fouling

Reports by hour of day

Description: B categories:

Grouping of FixMyStreet Categories into 29 B Categories - More Info.

Description: Reports by hour of day:

Which hour of the day a report was made in. 1 represents reports between 1AM and 2PM

This chart shows the distribution of reports in B categories - Dog Fouling 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 is a monochrome version of the above for showing the pattern without comparisons to the general scene.

This chart shows the percentage of this type or report (B categories - Dog Fouling) as a percentage of all reports in the B categories collection.

This chart shows the percentage of this type or report (B categories - Dog Fouling) as a percentage of reports of the same category in the overall dataset.

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.

This chart shows the percentage difference between the expected and actual result - representing the scale of difference between this category and the general dataset.

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.

Data Table

Download CSV for this table.