Ensure any data pertaining to people are rounded to the nearest whole number.
Do not use "M" and "k". Use full figures with thousands-separator.
Examples:
data entry refers to 104678.9 people
--> this should be displayed as 104,679
.
data entry refers to 109987789.49 people
--> this should be displayed as 109,987,789
.
Prefer full financial years, as in 2016-2017
rather than 2017
or 2016-17
. This is because
Most people don't know that in the municipal sphere (unlike national) 2017
means 2016-2017
Many people won't realise that the -17 means the next year - writing it in full is much easier to understand correctly the first time.
Order financial years in subindicator groups in reverse chronological order - that is 2018-2019 and then 2017-2016. People are most often interested in the latest financial year.
Always mark the financial year column as non-aggregatable. Summing over financial years usually doesn't make sense for an abritrary number of financial years and can easily lead to surprises for users.
When the financial year column is not the variable, add a default filter to match the latest financial year. Marking financial year as non-aggregatable will already add a filter for it, but adding default filter configuration will ensure that a sensible value is selected in the filter.
The reasoning for our preferred age bands is as follows:
Ideally bands should align with voting age
Ideally bands should align across datasets e.g. demographics should align with election data
perhaps 0-18, 18-19, 20-29, 30-39, 40-49, 50-59, 60+
Label data sources as {{ dataset title }} - {{ organisation }}
so that users can more easily find the right data source.
as opposed to