Graphically Speaking
Data Visualization with a focus on SAS ODS Graphics
Calendar Heatmaps are an interesting alternative view of time-series data. The measured value is displayed as color mapped cells in a calendar. Calendar Heatmaps can be easily created with SAS 9.3 using just the HEATMAPPARM, SERIESPLOT and BLOCKPLOT statements in GTL and some simple data manipulation. The example below shows
When viewing time series data, often we only want to see the trend in the data over time and we are not so concerned about the actual data values. With multiple time series plots, forecasting software can find clusters to help us view series with similar trends. Recently I saw a graph showing the trend of unemployment
The dimensions of your graph can affect the aspect ratio, which in turn, can subtly affect the perception of your viewers. When visual perception is of prime importance, the aspect ratio of the graph needs to be adjusted with care. This technique is known as ‘banking’, was introduced by William
A frequently asked question about the Survival Plot is: "How can I display the 'At Risk' data outside the plot area?". The survival plot rendered by the LIFETEST procedure displays the at risk data inside the plot data area. The reason for this is the potential for varying number of treatment groups. Here
In a previous article we discussed how to add axis aligned statistics table to a Lipid graph using GTL. Other graphs such as the Survival Plot also utilize the same technique to display the "at risk" statistics aligned by time or visits along the X axis. Often, we also need to display
The heatmap is a graphical representation of a table where colors are used to represent the values in the table. This is an effective graphic for finding the minimum and maximum values across the table and may surface patterns in the data. With the addition of the HEATMAPPARM statement to