SAS Course Training : Module 5 - Deep Dive into SAS Dataset Advanced Options

In this SAS Course Training module5, the SET statement is used to manipulate existing datasets. You can copy data from one dataset to another, selecting specific variables or observations. You can also rename variables, combine datasets, and even protect datasets with passwords.
Key points covered include:
* Copying data from existing datasets using the SET statement.
* Selecting specific variables or observations to copy.
* Renaming variables within the SET statement.
* Combining datasets using the SET statement.
* Adding labels and passwords to datasets.
* Overwriting existing datasets or preventing overwrites.
* Extracting specific observations based on their position.
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📌 Material and Task : drive.google.com/drive/folders/1sup67-_M8UZLVK7p_WuwYWDjp8RwlKRh?usp=sharing
⏩ Topics Covered in this Video
00:00 Introduction
00:44 SET Concept In SAS
22:14 SAS Task For this Video
Stay tuned for more SAS programming tutorials to enhance your data analysis skills and become a proficient SAS programmer.
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[@swethakemidi601]

Thanku sir

[@GreatOnlineTraining]

Thank you😀

[@theMarvelous_11]

Thank you❤🌹

[@GreatOnlineTraining]

You are so welcome

[@arunadirishala7425]

Good morning sir Thank u sir Name of the observation number 3 is Alice

[@GreatOnlineTraining]

Great job its correct answer

[@ShashiChandra]

Can you please make a video on how to convert SAS dataset to xml formatted .txt file

[@GreatOnlineTraining]

Thank you for the suggestion! I'll definitely consider making a video on that topic.

[@mtt11]

Sir how come we get 3rd observation? In 1st dataset only 3 records are there nad in 2nd we have only 2records so if we combine both we will get only 1st two records either of classA or class B

[@janaveebhoi6428]

Alice is the name of 3rd observation, can you make video on Survival analysis topic or else if you have any video on that please post link here. Thank you

[@GreatOnlineTraining]

Sure We will upload soon

[@vishwajeetsingh951]

data classA; input StudentID Name$ Score; datalines; 1 John 85 2 Jane 90 3 Alice 78 ; run; data classB; input StudentID Name$ Score; cards; 4 Bob 88 5 Carol 93 ; run; data combined; Set classA classB; run; proc print data=combined; run; Obs StudentID Name Score 1 1 John 85 2 2 Jane 90 4 4 Bob 88 5 5 Carol 93

[@GreatOnlineTraining]

Good

[@ananthuravalika7721]

Alice will be the name in 3rd row

[@GreatOnlineTraining]

Great Job Its Correct Answer