Graphically Speaking
Data Visualization with a focus on SAS ODS Graphics
Often, we have data where most of the observations are clustered within a narrow range, with a few outliers positioned far away. When all the data is plotted, the axis is scaled to accommodate all the data, thus skewing the scale. Techniques to handle such data have been addressed earlier
This week I had the opportunity to present a 1/2 day seminar on creating clinical graphs using the SG procedures during an In-House SAS Users' group meeting. I have presented this seminar quite a few times now, and I always learn something. The audience was very receptive, with some people
Have you ever wondered why sometimes a SGPLOT or GTL graph has markers drawn beyond the extreme tick and value on an axis and sometimes not? And, if you prefer your graphs to always have tick values on the axis that cover the whole range of data, how can you
One of the key benefits of using a horizontal bar chart is the ability to display statistics for each bar. This is a popular feature for the HBAR statement with the SAS/GRAPH GCHART procedure. So, let us review the options available to us to create such graphs using SGPLOT. The
Just this morning I received a request for a brief survey from Apple on my feedback about the new iPhone6+. Yes, I finally got one, dead last in the family. The survey followed the usual format, with a number of questions on what I like or dislike about it, with
Heat maps are a great way to visualize the bi-variate distribution of data. Traditionally, a heat may may have two numeric variables, placed along the X and Y dimension. Each variable range is sub divided into equal size bins to create a rectangular grid of bins. The number of observations