This post demonstrates how to rank data and how to place these ranks into roughly equal groups. There are certain variables, such as annual salary, that are highly skewed. There are many who earn between $50,00 and $150,000, but some who earn millions or hundreds of millions of dollars a
My buddy Chris recently blogged about accessing the IoT data from an M&M jar being monitored in one of the breakrooms at SAS. Now I'm going to take things a step further and analyze that data with some graphs. Grab a snack, and follow along, as we dig into this
This is the 5th installment of the Getting Started series. The audience is the user who is new to the SG Procedures. Experienced users may also find some useful nuggets of information here. A histogram reveals features of the distribution of the analysis variable, such as its skewness and the peak which
Recently, my fellow SAS blogger Rick Wicklin wrote a post showing how to graph the ages of all the US presidents. And Chris Hemedinger showed how to create a bar chart showing the number of presidents having each of the 12 zodiac signs. Both are interesting graphs, but I wanted to
Last week a user expressed the need to create a graph like the one shown on the right using SAS. This seems eminently doable using GTL and I thought I would undertake making this graph using SAS 9.3. The source data required to create this graph is only the
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
By now you have heard all about the SAS(R) STUDIO software that provides access to the power of SAS analytics in a Web browser. The SAS(R) University Edition is also available free for higher education teaching, learning and research. This software includes ODS Graphics software for creating graphs. You can
In recent conversations with many SAS users at NESUG, SESUG and WUSS, a pattern emerges on the question of creating graphs with SAS or R. Many SAS users are aware of the new graph features in SAS that create high quality graphs with minimum fuss. But, many have not actually used
In reference to a previous article on Violin Plots, a reader asked about creating comparative mirrored histograms to compare propensity scores. While I had my own understanding of "Mirrored Histograms", I also looked this up on the web. Google showed many cases of two histograms back to back, either horizontally or vertically.
The Scatter Plot Matrix statement supports a couple of different configurations. The basic is the N x N panel of cells, with each cell showing scatter plots plot for a pair of variables at a time. Here is an example of a 3 x 3 scatter plot matrix for the
Recently a user posted a question on the SAS/GRAPH and ODS Graphics Communities page on how to plot the normal density curves for two classification levels in the same graph. We have often seen examples of a distribution plot of one variable using a histogram with normal and kernel density curves. Here is a simple example: Code Snippet:
Here are a couple of bar charts showing the city mileage of cars by Type and Origin using the SGPLOT procedure from the sashelp.cars dataset. title 'Vehicle Mileage by Type'; proc sgplot data=cars; format mpg_city 4.1; vbar type / response=mpg_city stat=mean datalabel; xaxis display=(nolabel); run; title 'Counts by Country'; proc sgplot
