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Data Analytics is the procedure of analyzing raw data and deciding about how to convert raw data into useful information. So basically, this theory helps organizations or individuals to make sense of data. You can use different techniques and tools to help organizations make decisions and succeed.
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What will be the output of the following R code?
c(4,7,TRUE,3+7i) -> v1
c(9,6,FALSE,3+7i) ->> v2
print(v1)
print(v2)
[114+01 4+1i 7+01 3+7i
[1] 9+0i 9+1i 6+0i 3+7i
[1]4+0i7+0i1+0i3+7i
[1] 9101 6+0i 0+01 3+7i
[1) 4+0i 7+7l1+1i 3+7i
[1] 9+Oi 9+1i 6+6i 3+7i
[1]4+4i7+7i1+1i3+7i
[119+9i 6+6i1+1i 3+7i
Answer:
[1]4+0i7+0i1+0i3+7i
[1] 9101 6+0i 0+01 3+7i
A user wants to read and print the contents of a CSV file named myexample-csv that is present in his current working directory. Which of the following is the correct syntax of the command that should be executed by him to accomplish this task?
data <- read(myexample.csv)
print(data)
data <- read.file(”myexample.csv")
print(data)
data <- read.csv("myexample.csv")
print(data)
data <~ read.data(myexample.csv)
print(data)
Answer:
data <- read.csv("myexample.csv")
print(data)