By using a format, you can change the tick values and create values that range from 100 to 50 to 100 to display the probable outcome of a sporting event.
Curve labels in series plots can be positioned inside or outside the graph. Date variables can be specified as TYPE=LINEAR with a date format or more commonly as TYPE=DATE. Sometimes external curve labels might appear below or above the graph, particularly with TYPE=DATE axes. This post shows you ways to move them to the right of the graph.
Last week I published an article on creating bar charts with visual category values. The idea was to use visual icons for the category values in a HBAR of age by animal. For the data, I referred to a visual from the 2010 Encyclopedia Britannica Inc. that I found on the
Browsing on the web, I ran into a simple but visually interesting graph of financial data. Really, it could be any data, but this one showed up under "Financial Graphs". I thought this would give me an opportunity to speak about an interesting new feature added to SERIES plot with
One request came in for the previous article on Circle link graph, for the addition of arrow heads to indicate the direction of the flow. Given that I am using a SERIES plot to render the links, it is relatively easy to add arrow heads to the links as the SERIES
There has been some interest in "Circle Link Graph" diagrams where the nodes are laid out in a circle, with links going from one node in the circle to another. I recall seeing one diagram during the 2014 World Cup Soccer tournament, showing the number of players from one country that
This weekend I was reviewing my portfolio of stocks as usual. Yes, I do have a small stock portfolio with a few stocks, and normally I use free stock charting software to review the stock plots. These sites allow you to view the daily stock prices along with many technical
A couple of weeks back I described q way to create a Schedule Chart using the SGPLOT procedure. In that case, I used the HIGHLOW plot to draw bar segments, both for a single and grouped case. A natural extension is to create one with links between each segment. So,
Last week I wrote about how you can use the Discrete Attributes Map to ensure that group values with specific names are represented in the graph with specific colors or other visual attributes such as marker symbol or line pattern. This attributes map also supports a special keyword "OTHER" which can be used to
Often we have the need to see the data by two different classifiers at the same time, as requested by a recent query on the SAS Communities page. In this example I have simulated a response over time for patients by study and treatment. We want to create series plots
Spark lines, made popular by Edward Tufte, provide a way to visualize trends in a concise space, often inline with the rest of the narrative or data. Previously, I posted an article on Spark Plots in which I created different plot types, some of which included multiple graphs and data in each row. For such
CTSPedia.org is a website of Knowledge Base for Clinical and Translational Research. On this site you can find sample graphs for statistical analysis of safety data for Clinical Research. Graphs included in this resource have been submitted by contributors, and include a graph for Liver Function for different tests by treatment.
A user recently posted a question in the SAS communities forum about how to best display two measures by one classifier using a Bar-Line graph, where the scale of the two measures is vastly different. This got me thinking about various different ways to represent such data. Here are some of my thoughts,
Let us ring in the new year with something simple and useful. A recent question by a user over the holidays motivated this article on what is likely a commonly used graph. We want to compare the preformance of two categories along with a third measure. This could be something like "How
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
