This paper gives an introduction to some basic but critically important concepts of statistics and data analysis for the SAS programmer who pulls or manipulates data, but who might not understand what goes into a proper data analysis. We first introduce some basic ideas of descriptive statistics for one-variable data and then expand those ideas into many variables. We then introduce the idea of statistical significance and then conclude with how all these ideas can be used to answer questions about the data. Examples and SAS® code are provided.
Graphing is an essential step for exploratory data analysis and statistical modeling. However, when graphing an ordered progression of time series plots, it can be difficult to effectively display the progression without looking disorganized and chaotic. This paper shows a couple of approaches to this problem using the GPLOT procedure from SAS®/GRAPH® software and the LAYOUT OVERLAY, LAYOUT DATAPANEL and SERIESPLOT statements from the Graphic Template Language (GTL) in ODS statistical graphics.