When creating bar charts, it is very common to display labels with the bars to make it easier to determine the bar values or to provide additional information in the chart. However, these labels can take away valuable data space, particularly if you generate a smaller-sized graph. As you see
As we continue to process and understand the ongoing effects of the novel coronavirus, many of us have grown used to viewing COVID-19 dashboards and visualizations, including this popular coronavirus dashboard from SAS. If you are more accustomed to building graphs and visualizations using the SGPLOT and SGPANEL procedures, this
This is the 2nd installment of the "Getting Started" series, and the audience is the user who is new to the SG Procedures. It is quite possible that an experienced users may also find some useful nuggets here. One of the most popular and useful graph types is the Bar
Often we see bar charts showing revenues or other related measures by a classifier using a visual of a stack of coins. Such visuals are not strictly for the purposes of accurate magnitude comparisons, but more for providing an interesting visual to attract the attention of the reader. In other words -
As Sheldon Cooper would say, this is the first episode of "Fun with Charts". I did not find a cool term like "Vexillology" and "Cartography" is taken by map making, so let us go with "Chartology". Yesterday, I saw a couple of interesting bar charts as shown on the right. I thought
SG Procedures and GTL provide you with a large set of plot statements, such as BarChart, ScatterPlot, BoxPlot and more. You can use them for the intended purpose, and all is well and good. However, the real fun starts when you leverage a plot to do something that was not
Often we have situations where the category values on the graph have long character strings. This is often the case when graphing survey responses to questions. The questions may be sentences, sometimes moderately long. With SAS 9.4, GTL and SG now support the ability to display tick values split over
Creating bar charts with group classification is very easy using the SG procedures. When using a group variable, the group values for each category are stacked by default. Using the sashelp.prdsale data set and default STAT of SUM, here is the graph and the code. SGPLOT code: proc sgplot data=sashelp.prdsale;
When comparing results by category and group, putting the items to be compared close together usually leads to a graph that is easier to decode. Take the case of the data (simulated) shown below. Here we have population by age group and sex. To compare the population by sex, it is
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,
