The DATA step remains a popular way to create and manipulate SAS data sets. Whether you are reshaping a data set entirely or simply assigning values to a new variable, there are numerous tips and tricks that you can use to save time and keystrokes.
SAS' Leonid Batkhan shows you how to compare SAS data sets that include common and uncommon columns. You'll learn how to check mark commonalities and color-code differences in data tables side-by-side columns and add a comments field to see greater detail.
If you’re like me, you struggle to buy gifts. Most folks in my inner circle already have everything they need and most of what they want. Most folks, that is, except the tech-lovers. That’s because there’s always something new on the horizon. There’s always a new gadget or program. Or
Site relaunches with improved content, organization and navigation. In 2016, a cross-divisional SAS team created developer.sas.com. Their mission: Build a bridge between SAS (and our software) and open source developers. The initial effort made available basic information about SAS® Viya® and integration with open source technologies. In June 2018, the
With time series data analysis, we can apply moving average methods to predict data points without seasonality. This includes Simple Average (SA), Simple Moving Average (SMA), Weighted Moving Average (WMA), Exponential Moving Average (EMA), etc. For series with a trend but without seasonality, we can use linear, non-linear and autoregressive