Hi!
So far 133 copies of Deep Into Pharo have been sold. I used
Roassal2 to visualize countries
Here is a screenshot:
The data are embedded within the distribution of Roassal2.
Just execute:
RTMetricMap
new example06DeepIntoPharo
and you will get the same rendering.
The map builder has attracted some interest. Here is a small
example on how you can render you own data.
First of all, you need some data. Usually, you get data in a
tabular table. For example, I just stumbled on http://www.gdbridge.org/gdb_index
I copy and paste the small columns on the right hand side of
the web page into a string in a workspace.
I then convert the third column as floats. I paint all
countries in white. I then paint countries from the table using
the first column as a name, and the third column as a color
gradient
-=-=-=-=-=-=-=-=-=-=-=-=-=-=-=
| b table |
b := RTMetricMap new.
table := RTTabTable new.
table input: 'Hong Kong, China 1 0.631447
Singapore 2 0.5889286
Netherlands 3 0.515425
Switzerland 4 0.5018929
United States 5 0.4871152
Norway 6 0.4851121
Denmark 7 0.4665922
Sweden 8 0.4567912
Finland 9 0.4460537
Korea, Rep. 10 0.4382369
Ireland 11 0.4324097
Luxembourg 12 0.4227912
Germany 13 0.4190357
Belgium 14 0.4022478
Canada 15 0.3983661
Australia 16 0.3982408
United Kingdom 17 0.3930691
Japan 18 0.3904902
Spain 19 0.3876414
Kuwait 20 0.3800776
France 21 0.377015
Brunei Darussalam 22 0.3627484
Austria 23 0.3621858
Israel 24 0.3585244
China 25 0.3560882' usingDelimiters: String tab.
table convertColumn: 3 to: [ :t | Float readFrom: t ].
b allCountriesColor: Color white.
b countries: table values named: #first metric: #third.
b open
b := RTMetricMap new.
table := RTTabTable new.
table input: 'Hong Kong, China 1 0.631447
Singapore 2 0.5889286
Netherlands 3 0.515425
Switzerland 4 0.5018929
United States 5 0.4871152
Norway 6 0.4851121
Denmark 7 0.4665922
Sweden 8 0.4567912
Finland 9 0.4460537
Korea, Rep. 10 0.4382369
Ireland 11 0.4324097
Luxembourg 12 0.4227912
Germany 13 0.4190357
Belgium 14 0.4022478
Canada 15 0.3983661
Australia 16 0.3982408
United Kingdom 17 0.3930691
Japan 18 0.3904902
Spain 19 0.3876414
Kuwait 20 0.3800776
France 21 0.377015
Brunei Darussalam 22 0.3627484
Austria 23 0.3621858
Israel 24 0.3585244
China 25 0.3560882' usingDelimiters: String tab.
table convertColumn: 3 to: [ :t | Float readFrom: t ].
b allCountriesColor: Color white.
b countries: table values named: #first metric: #third.
b open
-=-=-=-=-=-=-=-=-=-=-=-=-=-=-=
Oh… almost forgot. You can export a visualization on the web.
Here is the generated HTML for the sells
Cheers,
Alexandre
--
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Alexandre Bergel http://www.bergel.eu
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Alexandre Bergel http://www.bergel.eu
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