Data Challenge by SAS

Overview:

Address the challenges to validate and manipulate the dataset appropriately using SAS Studio software.

Output:

SAS workfile

Note:

• Explore different types of data sets by validating and preparing relevant data for analysis through the steps of:
  • Data filtering
  • Data formatting
  • Data sorting
  • Conditional processing
• Each challenge requires specific “data steps” to reproduce the expected outcome. Filter definite rows using conditional processing (i.e., if…, then…), to sort data appropriately as well as to format different data types such as dates.

Useful Material:

Prudhomme G. (2018). Business Data Processing. Arcler Press. ISBN-10: 1773614479

Hastie, T., Tibshirani, R., & Friedman, J. (2009). The Elements of Statistical Learning. Springer. ISBN: 9780387848570

SAS e-learning: https://www.sas.com/en_au/learn/academic-programs/resources/free-sas-e-learning.html

_{^{Edit on Sep 27, 2020}}