Graphs using SAS Programming

SAS is powerful business intelligence tools for creating a wide range of business and scientific graphs. Graph is another way to analyze the data and user can easily reach to your conclusion by just look at graph instead of seeing the large dataset.

SAS software contains collection of procedures, sas datasets containing map data, and other utility procedures and application that help manage graphical data and output.

After the version of SAS 9.2 a new family of procedures introduces for creating the statistical graphs. This family of SG procedures includes the SGPLOT, SGSCATTER and SGPANEL procedures. The SG procedures provides detail concept to create graphs commonly used in data analysis in many industries.

So let see how we use these procedures to create the graphs in SAS studio.

SGPLOT PROCEDURE:

The SGPLOT procedure is designed to create a single-celled graph, with multiple plots overlaid within a single set of axes. The SGPLOT procedure is optimized to display overload plots on a single set of axes. For Example:

Scatterplot Graph:

Scatterplot is a type of graph which is best for representing the relationship between two variables.

proc sgplot data=SASHELP.IRIS;             /*--TITLE and FOOTNOTE--*/             title H=12pt 'ScatterPlot Graph';             /*--Scatter plot settings--*/             scatter x=SepalLength y=PetalLength / group=Species                         markerattrs=(symbol=DiamondFilled size=8) transparency=0.1   name='Scatter';             /*--X Axis--*/             xaxis grid;             /*--Y Axis--*/             yaxis grid;             /*--Legend Settings--*/             keylegend / location=Inside across=1; run;

                           

Bar Chart:

Bar graphs provide a visual presentation of categorical data.

proc sgplot data=SASHELP.RETAIL;             /*--TITLE and FOOTNOTE--*/             title 'Bar Graph';             /*--Bar chart settings--*/             vbar YEAR / response=SALES stat=Mean name='Bar' fillattrs=(color=OLIVE) datalabel=sales dataskin=pressed;             /*--Response Axis--*/             yaxis grid; run;

Line Graph:

Line graph is a type of graph which is used to represent the time series data.

PROC SGPLOT DATA=sashelp.tourism;             series x=Year y= vsp / LEGENDLABEL='VSP' MARKERS LINEATTRS=(COLOR=OLIVE                         THICKNESS=2 PATTERN=SOLID) MARKERATTRS=(COLOR=OLIVE symbol=circlefilled);                         xaxis grid;                         yaxis grid;                         series x=Year y= cpisp / LEGENDLABEL='cpisp' MARKERS LINEATTRS=(COLOR=MAROON                         THICKNESS=2 PATTERN=SOLID) MARKERATTRS=(COLOR=MAROON symbol=circlefilled);                         xaxis grid;                         yaxis grid;                         INSET 'Tourism Data Analysis' / POSITION= topleft border;             TITLE "Line Graph"; RUN;

By using SGPLOT procedure you can plot many graph like series plots, band plots, needle plots and vector plot etc.

SGPANEL PROCEDURE:

SGPANEL procedure created a panel for the values of one or more classification variables. Each graph in the panel can contain either a single plot or multiple overlaid plots.

title1 "Distribution of Cholesterol Levels"; proc sgpanel data=sashelp.heart; panelby weight_status sex / layout=lattice novarname; hbox cholesterol / group=status; run;

SGSCATTER PROCEDURE:

The SGSCATTER procedure creates a paneled graph for multiple combinations of variables. For example:

proc sgscatter data=sashelp.cars; compare y=mpg_highway x=(weight enginesize horsepower ) / group=type; run;

This way you can plot lots of attractive graph using SG procedure.