Answer:
The reason that programming is so important is that it directs a computer to complete these commands over and over again, so people do not have to do the task repeatedly. Instead, the software can do it automatically and accurately.
Explanation:
A table. Hope this helps friend
Answer:
NumPy contains a large number of various mathematical operations.
...
Numpy | Mathematical Function.
Function Description
expm1() Calculate exp(x) – 1 for all elements in the array.
exp2() Calculate 2**p for all p in the input array.
log10() Return the base 10 logarithm of the input array, element-wise.
log2() Base-2 logarithm of x.
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>"
William had to manually edit the data if he wants to remove the null values and incorrect column headers.
<h3>What is data editing?</h3>
Data editing is known to be a term that connote the act of making changes, reviewing or adjustment some survey data.
Note that by editing one can remove want one do not want from a group of data and as such, William had to manually edit the data if he wants to remove the null values and incorrect column headers.
Learn more about data from
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