Answer:
The solution code is written in R script.
- #string variable
- character_str<- "Hello World"
- #logical variable
- logic <- a > b
- #Missing value
- myVec <-c(1, 2, 3, NA)
- #Use class to check data type
- class(character_str)
- class(logic)
- class(myVec)
Explanation:
A string variable is a variable that hold a string (the letters enclosed within quotation marks) (Line 2)
A logical variable is a variable that hold a logical value (either True or False). The logical value is created by comparing two variables (Line 5).
In R, missing value is an unknown value which is represented by NA symbol (Line 8).
We can use in-built method <em>class </em> to check for the variable type in R (Line 11-13). For example, the output of <em>class(character_str)</em> is "<em>character</em>"
A technician's first step with an A/C system is to perform visual inspection
Based on the Microsoft Excel data validation, the option that is not an Error Style for data validation is the <em><u>choice that does not show an error alert.</u></em>
Given that there is no option available, the best way to answer this question is to show the types of Error Styles for data validation available.
<h3>Different types of Error Style for data validation</h3>
- Stop style: this will bring the option of "Retry, " "Cancel, " and "Help."
- Warning style: this will show "Continue," with options of "Yes," "No," "Cancel," and "Help."
- Information Style: this will ask you to input the whole number with the option of "Ok," "Cancel," and "Help."
Hence, in this case, it is concluded that the Error Style for data validation is Stop, Warning, and Information Style.
Learn more about Error Style for data validation here: brainly.com/question/18497347
