It was Ann Jackson’s last #WOW2020 challenge of the year, to build this divergent histogram depicting the average life expectancy by gender, with each bar indicating the number of countries with that life expectancy.
Ann hinted that reshaping the data may help, so I chose to do this by pivoting the data. To do this, in the data pane, I selected both the Life Expectancy Male and Life Expectancy Female columns, then right-clicked and selected Pivot.
This results in the number of rows in the data set being doubled, with a field called Pivot Field Names containing the values Life Expectancy Male and Life Expectancy Female, and then a field called Pivot Field Values which contains the life expectancy value. This field I renamed to Life Expectancy Age and moved it to the top section of the fields pane (above the line), so it is treated like a dimension rather than a measure.
We need to count the countries, so I created
Let’s see what this all looks like
Filtering by Year (2012), adding Life Expectancy Age to Rows, Pivot Field Names to Columns and Country Count to Text we get
Filtering out the Null and we have the basic data we want to plot, which we can do by
- Year on Filter set to 2012
- Life Expectancy Age on Filter set to exclude Null
- Pivot Field Names on Columns
- Life Expectancy Age on Columns (continuous)
- Country Count on Rows
- Mark Type set to Bar
- Size set to Fixed
If we move Pivot Field Names from Columns to Colour, we get an overlapping bar.
But we want the males to be going down the chart, so let’s change the Country Count field to be
IF CONTAINS(ATTR([Pivot Field Names]),’Female’) THEN COUNTD([Country/Region]) ELSE COUNTD([Country/Region])*-1 END
which is basically inverting the values for the male, and is pretty much the crux of the challenge 🙂
We need to label the max bar for each gender, or in this case the max & min. So showing mark labels and setting to just label the max and min values, we have a couple of issues….
… the labels are positioned in the centre, and males is labelled -13, rather than 13. To fix the positioning, we need to turn stacked marks off via the Analysis menu (took a bit of while to figure this one out).
To resolve the negative labelling, I formatted the County Count field to custom format to #,##0;#,##0
The final requirement is to ensure the axis range is identical. To do this I created reference lines based on the maximum value
Max Count Ref Line
which I then copied
Max Count Ref Line (Copy)
WINDOW_MAX([Country Count]) *-1
Adding both of these to the Detail shelf, and setting the table calculation to compute by the fields below
And apart from some formatting and the tooltips, that should be complete. My published viz is here. When I looked at Ann’s version, she tackled it differently, which is the beauty of these challenges – there’s often more than one solution.
Happy vizzin’! Stay Safe!