Click here to see the SAS code.
Click here to see the example.
This example uses data from this ZDNet page.
Here is some text from the article, explaining the story behind the data...
You *really* need to read this, to understand the graph, and then
it makes perfect sense! :)
"Cheapest movie tickets per capita price are in India, U.S., China Posted by ZDNet Research @ 11:31 pm
ScreenDigest sent us details of its Cinema Index survey, which compares
the cost of the movie ticket to average earnings around the world. Movie
lovers in India, the U.S., China, Luxembourg and Ireland can rejoice,
with a movie ticket costing them less than half an hour of work. In
Estonia and Bulgaria, one has to put roughly two hours of work to
catch a flick.
The Cinema Index is an at-a-glance way of comparing earnings with cinema
prices. The lower the number in minutes, the less expensive a cinema
ticket is relative to earnings power. The top two countries are very
good examples of how the Index can be interpreted. While Indian net
hourly earnings are relatively low (at $0.70 per hour), the average
cinema ticket is also very low (at $0.19), which evens out the relatively
low levels of both and results in an average of 16.6 minutes work to earn
enough money to buy a cinema ticket.
At the other end of the scale, the average U.S. net hourly income is
$15.20. The average ticket price is just over $6, which results in a
cinema index of 23.9 minutes. China has a similar structure to India,
and this results in a Cinema Index of 25.7 minutes. This augurs well
for the current multiplex investment plans in China by Warner and a
number of local players. Portugal and Turkey both have Cinema indexes
either side of the global average (which is just under 57 minutes)."
The plot itself is pretty straightforward.
I assign a different value to 'colorvar' for the "average" bar,
so I can color it differently (using the subgroup gchart option).
I hardcode the reflines, rather than using autohref, because I
don't want a refline at zero.
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