6.12 Enumerated grouping: overlapping groups
At times we need to put members that meet multiple grouping conditions to all corresponding groups.
Calculate Per Capita GDP in municipalities, first-tier cities and second-tier cities according to city GDP table. Note that one member may belong to more than one group. Beijing, for instance, is both a municipality and a first-tier city. Below is part of data in the city GDP table:
ID | CITY | GDP | POPULATION |
---|---|---|---|
1 | Shanghai | 32679 | 2418 |
2 | Beijing | 30320 | 2171 |
3 | Shenzhen | 24691 | 1253 |
4 | Guangzhou | 23000 | 1450 |
5 | Chongqing | 20363 | 3372 |
… | … | … | … |
In SPL, @r option can work with A.enum() function to check whether all members match a condition in each group during an enumerated grouping operation.
SPL script:
A | |
---|---|
1 | =T(“CityGDP.txt”) |
2 | [[“Beijing”,“Shanghai”,“Tianjin”,“Chongqing”],[“Beijing”,“Shanghai”,“Guangzhou”,“Shenzhen”],[“Chengdu”,“Hangzhou”,“Chongqing”,“Wuhan”,“Xian”,“Suzhou”,“Tianjin”,“Nanjing”,“Changsha”,“Zhengzhou”,“Dongguan”,“Qingdao”,“Shenyang”,“Ningbo”,“Kunming”]] |
3 | [A2(1).pos(?)>0,A2(2).pos(?)>0,A2(3).pos(?)>0] |
4 | =A1.enum@r(A3,CITY) |
5 | [Municipality,First-tier city, Second-tier city] |
6 | =A4.new(A5(#):AREA,~.sum(GDP)/~.sum(POPULATION)*10000:CAPITA_GDP) |
A1 Import CityGDP table.
A2 Define a constant of municipalities, first-tier cities and second-tier cities.
A3 Enumerate conditions for being a municipality, first-tier city or a second-tier city.
A4 Use A.enum() function to group records according to the enumerated conditions, during which @r option check whether every member matches a condition for the corresponding group.
A5 Define names of groups.
A6 Calculate Per Capita GDP in each group according to result of the enumerated grouping operation.
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