Examples of unconventional aggregation

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1.     Aggregate sum after enumeration grouping

【 example 1】 From the city GDP In the table , Separate statistics of municipalities directly under the central government 、 Per capita in first tier and second tier cities GDP. City GDP Some of the data in the table are as follows ：

ID	City	GDP	Population
1	Shanghai	32679	2418
2	Beijing	30320	2171
3	Shenzhen	24691	1253
4	Guangzhou	23000	1450
5	Chongqing	20363	3372
…	…	…	…

【SPL Script 】

	A	B
1	=connect("db")	/ Connect to database
2	=A1.query("select * from GDP")	/ Check the city GDP surface
3	[["Beijing","Shanghai","Tianjing","Chongqing"].pos(?)>0,["Beijing","Shanghai","Guangzhou","Shenzhen"].pos(?)>0,["Chengdu","Hangzhou","Chongqing","Wuhan","Xian","Suzhou","Tianjing","Nanjing","Changsha","Zhengzhou","Dongguan","Qingdao","Shenyang","Ningbo","Kunming"].pos(?)>0]	/ Enumerate municipalities 、 First tier cities and second tier cities
4	=A2.enum@r(A3,City)	/ Group by city enumeration
5	=A4.new(A3(#):Area,~.sum(GDP)/~.sum(Population)*10000:CapitaGDP)	/ Count the average person in each group GDP. It uses functions sum() Sum up

    A5 The results are as follows ：

Area	CapitaGDP
["Beijing","Shanghai","Tianjing","Chongqing"].pos(?)>0	107345.03
["Beijing","Shanghai","Guangzhou","Shenzhen"].pos(?)>0	151796.49
["Chengdu","Hangzhou","Chongqing","Wuhan","Xian","Suzhou","Tianjing","Nanjing","Changsha","Zhengzhou","Dongguan","Qingdao","Shenyang","Ningbo","Kunming"].pos(?)>0	106040.57

 

2.     Merge overlapping time intervals

【 example 2】 Take the customer ANATR Merge order records with recurring time periods . Some data in the customer table are as follows ：

OrderID	Customer	SellerId	OrderDate	FinishDate
10308	ANATR	7	2012/09/18	2012/10/16
10309	ANATR	3	2012/09/19	2012/10/17
10625	ANATR	3	2013/08/08	2013/09/05
10702	ANATR	1	2013/10/13	2013/11/24
10759	ANATR	3	2013/11/28	2013/12/26
…	…	…	…	…

【SPL Script 】

	A	B
1	=connect("db")	/ Connect to data source
2	=A1.query("select * from Orders where   Customer='ANATR'order by OrderDate")	/ Select customers ANATR Order information for , Sort by order date
3	=A2.group@i(OrderDate>max(FinishDate[,-1]))	/ When the order date is greater than the completion date of all previous orders, the new group
4	=A3.new(Customer,~.min(OrderDate):OrderDate,~.max(FinishDate):FinishDate)	/ Using functions min() Calculate the earliest order date of each group as the order date , Using functions max Calculate the latest order date as the completion date

    A4 The results are as follows ：

Customer	OrderDate	FinishDate
ANATR	2012/09/18	2012/10/17
ANATR	2013/08/08	2013/09/05
ANATR	2013/10/13	2013/11/24
ANATR	2013/11/28	2013/12/29
…	…	…

 

3.     Count the number of satisfied conditions in group aggregation

【 example 4】 Ask for the number of students who failed in each subject in a class . Some of the data in the report form are as follows ：

CLASS	STUDENTID	SUBJECT	SCORE
Class   one	1	English	84
Class   one	1	Math	77
Class   one	1	PE	69
Class   one	2	English	81
Class   one	2	Math	80
…	…	…	…

【SPL Script 】

	A	B
1	=connect("db")	/ Connect to database
2	=A1.query("select * from Scores where   CLASS='Class one'")	/ Check the results of class one students
3	=A2.groups(SUBJECT;   count(SCORE<60):FailCount)	/ Group summary , It uses functions count() Count the number of people who failed

    A3 The results are as follows ：

SUBJECT	FailCount
English	2
Math	0
PE	2

 

4.     In a set of Boolean values , Aggregation performs logic and operations

【 example 5】 According to a series of primary school online teaching terminal Questionnaire , See if all students have access to mobile phones . The questionnaire and summary contents of each class are as follows ：

ID	STUDENT_NAME	TERMINAL
1	Rebecca   Moore	Phone
2	Ashley   Wilson	Phone,PC,Pad
3	Rachel   Johnson	Phone,PC,Pad
4	Emily   Smith	Phone,Pad
5	Ashley   Smith	Phone,PC
6	Matthew   Johnson	Phone
7	Alexis   Smith	Phone,PC
8	Megan   Wilson	Phone,PC,Pad
…	…	…

【SPL Script 】

	A	B	C
1	=directory@ps("D:/Primary   School")		/ Recursively traversing directories , List all files
2	for A1	=file(A2).xlsimport@t()	/ Circularly import the questionnaire of each class excel file
3		=B2.([TERMINAL,"Phone"].ifn().split@c().pos("Phone")   > 0)|@	/ When the terminal in the questionnaire is not filled in, it is not considered that the mobile phone terminal is not supported , Using functions ifn() Guarantee that this item is true.
4	=B3.cand()		/ Using functions A.cand() Calculation B3 Are all members of true

    A4 The results are as follows ：

Value

false

 

5.     In a set of Boolean values , To perform logic or operations in aggregation

【 example 6】 Check with customers RATTC, stay 2014 Whether it has been ranked in the top three of monthly sales . The data in the sales table are as follows ：

OrderID	Customer	SellerId	OrderDate	Amount
10400	EASTC	1	2014/01/01	3063.0
10401	HANAR	1	2014/01/01	3868.6
10402	ERNSH	8	2014/01/02	2713.5
10403	ERNSH	4	2014/01/03	1005.9
10404	MAGAA	2	2014/01/03	1675.0
…	…	…	…	…

【SPL Script 】

	A	B
1	=connect("db").query("select   * from sales")	/ Connect to data source , Read the sales list
2	=A1.select(year(OrderDate)==2014)	/ elect 2014 Annual data
3	=A2.group(month(OrderDate))	/ take 2014 Year data are grouped by month
4	=A3.(~.groups(Customer;   sum(Amount):Amount))	/ The members after grouping summarize the sales amount according to the customer group
5	=A4.new(~.top(-3; Amount):Top3)	/ Cycle the data for each month , Before calculating the monthly sales 3 The customer
6	=A5.(Top3.(Customer).pos("RATTC")>0)	/ Judge whether the top three of each month include customers RATTC
7	=A6.cor()	/ Using functions A.cor() Calculation A6 Whether there are members of true

    A7 The results are as follows ：

Value

false

 《SPL CookBook》 There are more examples of relevant calculations in .