Data Science and Data Preparation Article Overview by Gerhard
This is a navigation article for all my SAS Communities contributions. It is used as a central navigation point for the content that I provided at this platform and is updated with every new article that I publish.
Last updated: 2024-10-15
Articles are clustered by different content dimensions, thus they might appear more than once in the list below.
Most Recent Articles
How I made your model using SAS Viya series
Feature Engineering
- Feature Engineering 1 - Using Correlation Analysis to Describe Behavior over Time
- Feature Engineering #2 - Accordance with predefined pattern
- Feature Engineering #3 – Describing the Trend over Time
- 3 ways to consider movable holidays in SAS
Data Quality for Analytics
- The structure of MISSING VALUES in your data - get a clearer picture with the %MV_PROFILING macro
- Using the TIMESERIES procedure to check the continuity of your timeseries data
- Replace MISSING VALUES in TIMESERIES DATA using PROC EXPAND and PROC TIMESERIES
- Have a look at your TIMESERIES data from a bird's-eye view - Profile their missing value structure
- Using SAS Enterprise Miner for Predictive Modeling Simulation Studies
- Using the GLMSELECT procedure to calculate individual reference values in outlier detection
- Early Picture of the Data Quality Status of Your Analysis Data? SAS® Visual Analytics Shows You How
Data Assembly
Tipps and Tricks
- Automatically highlight data-driven events with reference lines in line-charts
- 3 ways to consider movable holidays in SAS
Analytics and SAS/STAT Procedures
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Encoding of CLASS Variables in Regression Analysis - Better understand the ORDINAL encoding
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Display the hidden estimate for the reference category in EFFECT coding for better interpretability
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%CALC_REFERENCE_CATEGORY displays the "hidden" coefficient in EFFECT encoding for CLASS variables
Simulating Data and Models
- Using SAS Enterprise Miner for Predictive Modeling Simulation Studies
- Simulate timeseries data with a SAS DATA Step and SAS Functions
SAS Global Forum Papers
- SUGI2006: Efficient “One-Row-per-Subject” Data Mart Construction for Data Mining
- SGF2015: Early Picture of the Data Quality Status of Your Analysis Data? SAS® Visual Analytics Shows You How
- SGF2018: Getting More Insight into Your Forecast Errors with the GLMSELECT and QUANTSELECT Procedures
References
Find more details in my webinars at Youtube:
and on Medium | LinkedIn | Github | SAS-Books
Most of the content of these articles is taken from my SAS Press books
- Data Quality for Analytics Using SAS
- Applying Data Science - Business Case Studies Using SAS
- Data Preparation for Analytics Using SAS
