A pie-chart is a representation of values as slices of a circle with different colors. The slices are labeled and the numbers corresponding to each slice is also represented in the chart.

In SAS the pie chart is created using PROC TEMPLATE which takes parameters to control percentage, labels, color, title etc.

Syntax

The basic syntax to create a pie-chart in SAS is −

PROC TEMPLATE;
DEFINE STATGRAPH pie;
BEGINGRAPH;
LAYOUT REGION;
PIECHART CATEGORY = variable /
DATALABELLOCATION = OUTSIDE
CATEGORYDIRECTION = CLOCKWISE
START = 180 NAME = 'pie';
DISCRETELEGEND 'pie' /
TITLE = ' ';
ENDLAYOUT;
ENDGRAPH;
END;
RUN;

Following is the description of parameters used −

• variable is the value for which we create the pie chart.

Simple Pie Chart

In this pie chart we take a single variable form the dataset. The pie chart is created with value of the slices representing the fraction of the count of the variable with respect to the total value of the variable.

Example

In the below example each slice represents the fraction of the type of car from the total number of cars.

PROC SQL;

create table CARS1 as

SELECT make, model, type, invoice, horsepower, length, weight

FROM

SASHELP.CARS

WHERE make in ('Audi','BMW')

;

RUN;

PROC TEMPLATE;

DEFINE STATGRAPH pie;

BEGINGRAPH;

LAYOUT REGION;

PIECHART CATEGORY = type /

DATALABELLOCATION = OUTSIDE

CATEGORYDIRECTION = CLOCKWISE

START = 180 NAME = 'pie';

DISCRETELEGEND 'pie' /

TITLE = 'Car Types';

ENDLAYOUT;

ENDGRAPH;

END;

RUN;

PROC SGRENDER DATA = cars1

TEMPLATE = pie;

RUN;

When we execute the above code, we get the following output −

sas 35

Pie Chart with Data Labels

In this pie chart we represent both the fractional value as well as the percentage value for each slice. We also change the location of the label to be inside the chart. The style of appearance of the chart is modified by using the DATASKIN option. It uses one of the inbuilt styles, available in the SAS environment.

Example

PROC TEMPLATE;

DEFINE STATGRAPH pie;

BEGINGRAPH;

LAYOUT REGION;

PIECHART CATEGORY = type /

DATALABELLOCATION = INSIDE

DATALABELCONTENT = ALL

CATEGORYDIRECTION = CLOCKWISE

DATASKIN = SHEEN

START = 180 NAME = 'pie';

DISCRETELEGEND 'pie' /

TITLE = 'Car Types';

ENDLAYOUT;

ENDGRAPH;

END;

RUN;

PROC SGRENDER DATA = cars1

TEMPLATE = pie;

RUN;

When we execute the above code, we get the following output −

sas 36

Grouped Pie Chart

In this pie chart the value of the variable presented in the graph is grouped with respect to another variable of the same data set. Each group becomes one circle and the chart has as many concentric circles as the number of groups available.

Example

In the below example we group the chart with respect to the variable named “Make”. As there are two values available (“Audi” and “BMW”) so we get two concentric circles each representing slices of car types in its own make.

PROC TEMPLATE;

DEFINE STATGRAPH pie;

BEGINGRAPH;

LAYOUT REGION;

PIECHART CATEGORY = type / Group = make

DATALABELLOCATION = INSIDE

DATALABELCONTENT = ALL

CATEGORYDIRECTION = CLOCKWISE

DATASKIN = SHEEN

START = 180 NAME = 'pie';

DISCRETELEGEND 'pie' /

TITLE = 'Car Types';

ENDLAYOUT;

ENDGRAPH;

END;

RUN;

PROC SGRENDER DATA = cars1

TEMPLATE = pie;

RUN;

When we execute the above code, we get the following output −

sas 37

So, this brings us to the end of blog. This Tecklearn ‘How to create Pie Charts in SAS’ blog helps you with commonly asked questions if you are looking out for a job in SAS. If you wish to learn SAS and build a career in Data Analytics domain, then check out our interactive, SAS Training for SAS BASE Certification Training, that comes with 24*7 support to guide you throughout your learning period. Please find the link for course details:

SAS Training for SAS BASE Certification

SAS Training for SAS BASE Certification Training

About the Course

SAS Certification Training is intended to make you an expert in SAS programming and Analytics. You will be able to analyse and write SAS code for real problems, learn to use SAS to work with datasets, perform advanced statistical techniques to obtain optimized results with Advanced SAS programming. In this SAS online training course, you will also learn SAS macros, Machine Learning, PROC SQL, procedure, statistical analysis and decision trees. You will also work on real-life projects and prepare for the SAS Certified Base Programmer certification exam. Upon the completion of this SAS online training, you will have enough proficiency in reading spreadsheets, databases, using SAS functions for manipulating this data and debugging it.

Why Should you take SAS Training?

• The average salary for a Business Intelligence Developer skilled in SAS is $100k (PayScale salary data)

• SAS, Google, Facebook, Twitter, Netflix, Accenture & other MNCs worldwide are using SAS for their Data analysis activities and advance their existing systems.

• SAS is a Leader in 2017 Gartner Magic Quadrant for Data Science Platform.

What you will Learn in this Course?

Introduction to SAS

• Introduction to SAS

• Installation of SAS

• SAS windows

• Working with data sets

• Walk through of SAS windows like output, search, editor etc

SAS Enterprise Guide

• How to read and subset the data sets

• SET Statement

• Infile and Infile Options

• SAS Format -Format Vs Informat

SAS Operators and Functions

• Using Variables

• Defining and using KEEP and DROP statements

• Output Statement

• Retain Statement

• SUM Statement

Advanced SAS Procedures

• PROC Import

• PROC Print

• Data Step Vs Proc

• Deep Dive into Proc

Customizing Datasets

• SAS Arrays

• Useful SAS Functions

• PUT/INPUT Functions

• Date/Time Functions

• Numeric Functions

• Character Functions

SAS Format and SAS Graphs

• SAS Format statements

• Understanding PROC GCHART, various graphs, bar charts: pie, bar

Sorting Techniques

• NODUP

• NODUKEY

• NODUP Vs NODUKEY

Data Transformation Function

• Character functions, numeric functions and converting variable type

• Use functions in data transformation

Deep Dive into SAS Procedures, Functions and Statements

• Find Function

• Scan Function

• MERGE Statement

• BY Statement

• Joins

• Procedures Vs Function

• Where Vs If

• What is Missover

• NMISS

• CMISS

PROC SQL

• SELECT statement

• Sorting of Data

• CASE expression

• Other SELECT statement clauses

• JOINS and UNIONS

Using SAS Macros

• Benefits of SAS Macros

• Macro Variables

• Macro Code Constituents and Macro Step

• Positional Parameters to Macros

Got a question for us? Please mention it in the comments section and we will get back to you.

530