The two major SAS steps are data and proc.
SAS programming structure is based on two essential steps, Data and Proc.
1. The DATA step:
This involves collecting and uploading the essential data to the program memory. It is used to update, modify and edit the data in case of any errors once it has been added to a dataset. New datasets can be created from existing ones by updating, editing, and/or merging them. at the end of this step, SAS data sets are created.
2. The PROC step:
This step processes and analyses the data collected into datasets in the previous step. it is used to perform specific functions on the data. at the end of the proc step, a result or report is produced.
In a SAS code, each line of code should begin either with a DATA or PROC step.
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- Analysis: analysis is done in the PROC step.
- Content: Data or content is collected in the DATA step.
- Stat: a stat function acquires the status information regarding a specific file. Functions are performed on the datasets in the PROC step.
- Run: This command is used to execute a code.
- Import: Datasets are created by importing data from other datasets and outside.
- Print: the report produced at the end of the PROC step can be printed as a hard copy.
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D. All of the Above.
If you are using a Twitter account for marketing your personal brand, you certainly should evaluate your entire profile, which includes your pictures, bio and tweets.
Answer:
The output of the given code as follows:
<u>Output:
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1122
Explanation:
In the given java code the two for loop is defined, which can be described as follows:
- In the first loop, a"loop" variable is used, which starts from 1 and ends when the value of loop is less than 3, inside the loop a print function is used, that print value 1.
- In the next step, another for loop is declared, inside the loop a variable "loop2" variable is used, that's working is the same as the above loop, but in this loop, it will print a value, that is 2.
Answer:
The overview of the given scenario is described in the explanation section below.
Explanation:
- BTS (Binary search tree) tends to be a tree with several nodes noting that perhaps the left sub-tree, along with its leaf, tends to have a key which is less than or equal to anything like the parental node value. The do-tree, including its leaf, seems to have a value greater than those of the key from it's own parent node.
- Binary search algorithm finds a general vicinity in the collection of O(log n) time complexity items whereby n represents the number of elements in the array.
So the provided has never been the binary search trees of its algorithm.
A. 249
B. 342
