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A SAS program is a combination of Data steps, global statements, SAS Component Language (SCL), SQL statements and SAS Macro statements.
This hackathon has been designed to help you practice and evaluate your analytics learning. Predict categories Rookie, Champion, Rising Star, Star, Rock Star & Mega Star of professionals.
Simple data visualization guide for SAS beginners and learners. It includes various data visualisation methods, and application with implementation in SAS.
SAS vs R vs Python have similar abilities and have its own importance. This infographic describes the best tool to be used in the analytics industry.
Ultimate guide to create data visualization and resources for understanding various data visualization methods used in graphs, charts, heatmap, box plot etc
Learn the use of First. and Last. variables in SAS for data processing using examples. These variables are formed in SAS PDV, when BY and SET are used together.
Data exploration in SAS is performed using the DATA step and PROC SQL. A complete guide to data exploration and data munging methods for preparation in SAS.
SAS learning path for people who want to learn SAS. This learning path provides SAS courses, SAS career details to start their career in analytics.
Merging or Joining is one of the most common steps in data preparation. This article introduces merging in SAS and SAS merge datasets.
Combining datasets in SAS a most common task. SAS provides ways to merge and combine two datasets in SAS using append, Concatenate and Interleave.
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