try this:
> library(sqldf)
> table1 <- read.csv(text = "POSTAL | VALUE
+ 1000|49
+ 1010|100
+ 1020|50", sep="|")
> table2 <- read.csv(text = "INSEE | POSTAL
+ A|1000
+ B|1000
+ C|1010
+ D|1020", sep="|")
> table3 <- sqldf("
+ select table2.INSEE
+ , 1.0 * table1.VALUE / counts.nPos
Hi,
I have following 2 tables:
Table 1:
POSTAL | VALUE
1000|49
1010|100
1020|50
Table 2:
INSEE | POSTAL
A|1000
B|1000
C|1010
D|1020
I would like to convert this to the following:
INSEE | VALUE_SPREAD
A|24.5
B|24.5
C|100
D|50
I can achieve this with a nested SQL query (through counting the
num
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