The SGPLOT procedure supports a wide variety of plot types that you can use directly or combine together to create more complex graphs. Even with this flexibility, there might be times you run across a graph that you cannot create using one of the standard plot types. An "area" bar
ODS Graphics procedures primarily strive towards the following goal: "Make simple graphs easy and complex graphs possible". SGPLOT procedure allows you create simple graphs with a single plot statement, and create complex graphs by layering together or combining multiple plot statements. Generally, the appearance follows the guidelines set by industry
This post shows you how to make a bar chart and an X-axis table; ensure consistency in the order of the legend, bar subgroups, and axis table rows; coordinate the colors for each of those components; and drive all the color choices from an attribute map.
Naomi Robbins has posted a contest, part 1 of which is to submit alternative representations for the following graph: Clearly, usage of two pie charts to represent the share of the B2B and B2C referrals will invite many responses. To create the graph, I took the data shown in the Pie Charts themselves, so we are using percent
A graph in a recent article in Fortune magazine caught my eye. The graph shows the cost of hosting the Summer Olympics over the past eight events. Here is what I termed the "Medal" graph. Now, practitioners of the art of Effective Graphics would likely find some shortcomings in the graph. Clearly
In the previous post on Broken Y-Axis, I reviewed different ways to display data as a Bar Chart, where the response values for some categories are many orders of magnitude larger than the other values. These tall bars force the display of other values to be squeezed down thus making it harder to compare
Often we want to display data as a bar chart where a few observations have large values compared to the rest. Comparison between the smaller values becomes hard as the small bars are squeezed by the tall bars. Here is an example data, and a bar chart showing the data. The large values
This post is a result of an intriguing question posed by a user on the SAS communities' page. How to create a bar chart where the category is a combination of two variables var_1 and var_2 (each with values of '+' and '-'), and get a X axis that shows each
Creating bar charts with log response axis has come up a few times in the past few days. Before we look into how we could do this, it would be worth pointing out the considerable opinion in the blogosphere against use of log response axes for bar charts. See BizIntelGuru and
Recently, a user asked about creating a Bar Chart of Value by Date, where the dates are displayed on a scaled interval axis. Consider this simulated data set of value by date and treatment shown below. This data set only has one value for each date and treatment combination. We can use the VBAR statement
