Tag: Scatter Plot

Data Visualization
Sanjay Matange 3
Grouped Timeline

Recently, a user posed a question on how to plot stacked frequencies on a time axis.  The data included frequencies of different viruses by week.  The data is modified to preserve confidentiality and is shown below. The user's first instinct was to use a bar chart with stacked groups.  This works for automatically computing frequencies

Data Visualization
Sanjay Matange 14
A Better AE Timeline

Back in February, I posted an article on creating Adverse Event Timeline Graph.  In the SAS 9.2 version (first one), one item that was less than ideal was the way to position the AE names to the left of the event.  The AE names are displayed using the scatter plot statement

Data Visualization
Sanjay Matange 22
Forest Plot with Subgroups

During SAS Global Forum 2012, I had conversations with many SAS users who wanted to create Forest Plots.  However, there was one new twist.  The study names were subgrouped by categories like 'Age', 'Sex', etc., with multiple entries under each subgroup.  The name of each study within the subgrouped was indented

Data Visualization
Sanjay Matange 8
Non-breaking space

Forest plots come in many flavors.   An example of a Forest plot using GTL is available on the SAS support web site.  Simple forest plots can also be created using SGPLOT procedure by using the SCATTER statement with MARKERCHAR to display data aligned with the plot by study names. One issue

Data Visualization
Sanjay Matange 0
Extended Bands

In the Clinical Research domain, there is often the need to display lab values by treatment or test and it is often useful to view this data along with reference lines showing the normal ranges.  The obvious way is to use reference lines to denote the normal ranges. SGPLOT Code: proc sgplot data=band; scatter x=x y=y

Data Visualization
Sanjay Matange 3
Butterfly plots

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

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