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Sas Version 9.0 !free!

SAS Version 9.0 (released in 2004) was a landmark update that transformed SAS from a coding-intensive tool into a more accessible business intelligence platform . This version introduced the SAS 9 Intelligence Platform

, which moved toward a centralized metadata-driven architecture. Key Features and Innovations SAS Enterprise Guide : Version 9.0 established SAS Enterprise Guide

as the primary point-and-click interface, allowing non-programmers to perform complex data analysis through visual process flows. Scalability and Performance : It introduced parallel processing and multi-threading for procedures like

, significantly speeding up data handling on systems with multiple CPUs. ODS Enhancements

: The Output Delivery System (ODS) was improved to better format reports for Excel, PDF, and HTML. Data Interoperability

: Added native support for importing and exporting files from Microsoft Excel 2002, Access 2002, SPSS, and Stata. Technical Architecture

SAS 9 utilizes a multi-tier architecture to manage data and processing: Metadata Tier

: Centralizes definitions of data, users, and security settings. Server/Compute Tier : Where the actual SAS processing and data analysis occur. Middle Tier

: Manages web traffic and coordinates communication between the client and server. Client Tier : The user-facing software, such as SAS Enterprise Guide SAS Management Console Common Commands for SAS 9 Users

The year was 2004, and the halls of SAS Institute were buzzing with the energy of "Project Mercury." For years, SAS had been the powerhouse of the back office—the domain of seasoned statisticians who spoke in the cryptic tongue of semi-colons and DATA steps. But with the launch of SAS Version 9.0, the world of data was about to get a major facelift. The Dawn of "Project Mercury"

For the data veterans of the early 2000s, Version 9.0 wasn't just another update; it was a revolution in accessibility. Before this, "point-and-click" felt like a distant dream. Version 9.0 introduced custom user interfaces tailored to specific roles, effectively democratizing data. The crown jewel was SAS Enterprise Guide, which became the primary graphical interface, allowing users to navigate complex datasets without needing to memorize every line of code. Under the Hood

While the surface was becoming friendlier, the engine underneath was getting more powerful. Version 9.0 brought:

Multi-Processing Prowess: Procedures like SORT, SQL, MEANS, and TABULATE were updated to take advantage of multi-processing I/O, drastically cutting down processing time for massive data jobs.

Macro Magic: Programmers gained new tools like the IN boolean operator, which turned long, messy strings of OR statements into clean, readable code.

Windows Integration: It was optimized for the latest tech of the time, including 32-bit and 64-bit Windows XP and Windows Server 2003. The Legacy

SAS 9.0 became the foundation for the longest-running version in the company’s history. It paved the way for modern giants like SAS Viya, transforming SAS from a niche tool for researchers into a global standard for business intelligence, drug discovery, and even NBA fan experiences.

The story of SAS Version 9.0 , released in 2004, is often remembered as the moment the "dinosaur" of heavy-duty coding grew a friendly face. Internally, the project was known by the ambitious codename "Project Mercury"

—a nod to the swift messenger of the gods, signaling a major shift in how fast and accessible data could become.

Before Version 9, SAS was largely the domain of "hardcore" programmers who spent their days in a wall of text. Project Mercury’s mission was to break those walls down by introducing a point-and-click interface The Birth of the "Business User"

The real drama of Version 9.0 wasn't just in the code, but in the user interface (UI) revolution . It marked the rise of the SAS Enterprise Guide Sas Version 9.0

as the primary way people interacted with the software. Suddenly, you didn't need to be a coding wizard to run a regression or manage a database; you could be a business analyst who just wanted to understand customer behavior. A Swiss Army Knife for Science

While business users were clicking through menus, scientists were pushing Version 9.0 into bizarre and fascinating territories. Because of its massive processing power, Version 9.0 became a staple in academic research for decades, used in studies ranging from: Space Mysteries

: Astronomers used SAS 9.0 to process data from the XMM-Newton satellite, helping to map the X-ray lightcurve of Sagittarius A

* (the supermassive black hole at the center of our galaxy) over a 150-year period. The Science of Music : Researchers used it to analyze whether different musical rhythms

could improve the welfare and physiological health of livestock. Childhood Health

: It was used to estimate missing physical activity data for children by analyzing "wear time" from accelerometers. The Legacy of the "9" Even as newer, cloud-based versions like

have arrived, the "9.x" lineage remains the backbone of highly regulated industries like clinical research and banking. It established the standard for an audit trail

, where every click and code run is automatically documented—a feature that made it "better than Excel" for high-stakes enterprise work. specific differences between the classic SAS 9.0 and the modern cloud platform? What is Brief History of SAS Company? - PESTEL Analysis

The Evolution of Analytics: A Deep Dive into SAS Version 9.0

Released in 2004, SAS Version 9.0 (internally codenamed "Project Mercury") represented one of the most significant architectural shifts in the history of the SAS Institute. Designed to make advanced analytics accessible to a broader range of business users, Version 9.0 introduced fundamental changes to how the software processed data and how users interacted with it. A New Architectural Standard: Multi-Threaded Processing

The most critical technical advancement in SAS 9.0 was the introduction of a multi-threaded architecture. Prior to this version, SAS typically operated in a serial fashion, processing data one step at a time.

Threaded Kernel (TK): Version 9.0 introduced the threaded kernel, allowing the software to break down complex tasks—such as sorting and summarization—into smaller "chunks" that could be processed simultaneously across multiple CPUs.

Automatic Performance Gains: Many procedures, including PROC SORT and PROC MEANS, were modified to automatically detect and utilize multiple processors, significantly reducing execution times for large-scale data tasks.

Scalable Performance Data Engine (SPDE): This engine enabled parallel I/O, allowing SAS to read and write data to multiple partitioned sets simultaneously, further increasing throughput. User Experience and Accessibility

Before Version 9.0, SAS was primarily the domain of expert programmers. "Project Mercury" sought to change this by introducing role-based interfaces and enhancing graphical options.

SAS Enterprise Guide: Version 9.0 established SAS Enterprise Guide as the primary point-and-click graphical user interface (GUI), allowing users to perform complex analyses without writing raw code.

Enhanced Editor: The software introduced improvements to the programming environment, such as the Enhanced Editor with autosave features and better accessibility aids for Windows users.

ODS Improvements: The Output Delivery System (ODS) saw major enhancements, including better formatting options and the ability to export directly to Microsoft Excel 2002 files. Key Functional Enhancements

Beyond the architecture, SAS 9.0 introduced a suite of new functions and procedures that streamlined the data management process. SAS Version 9

New Statistical Functions: For the first time, common tasks like calculating a median became simple with the introduction of the MEDIAN function. Other additions included the "CAT" family of functions for easier string concatenation (replacing cumbersome TRIM and LEFT combinations).

Extended Format Names: Version 9.0 increased the limit for numeric and character format names to 32 and 31 characters respectively, moving past the traditional 8-byte limit.

Data Integrity: Enhanced support for audit trails and integrity constraints allowed users to better track updates and prevent data entry errors. Impact on Industry Research

Because of its stability and advanced capabilities, SAS Version 9.0 became a staple in academic and medical research. It has been used extensively for:

SAS Version 9.0 (released in 2002-2004) was a landmark release known as "Project Mercury". It introduced significant architectural changes, specifically a point-and-click interface designed to make SAS more accessible to non-programmers. Key Features and Enhancements

SAS 9.0 focused on scalability, performance, and user experience.

Multiprocessing Capabilities: Enhanced control over hardware processing for better performance on multi-CPU systems.

Graphical User Interface (GUI): SAS Enterprise Guide became the primary point-and-click interface, allowing users to build tasks and manage data without writing manual code.

Advanced Data Management: Added relational database entry functions, audit trails for tracking updates, and generation data sets for backing up data.

ODS Enhancements: Improved Output Delivery System (ODS) for creating custom reports and formatting, including better integration with Excel 2002 files.

New Functions: Introduced numerous new character and numeric functions, formats, and procedures like PROC CALIS (for path analysis). Installation Guide Installing SAS 9.0 typically involves the SAS Setup Wizard.

Preparation: Ensure system requirements are met; modern systems (e.g., Windows 11) generally require newer versions like SAS 9.4M7 or higher. SAS Setup Wizard: Insert the setup media (CD-ROM or network location).

Run the System Requirements Wizard to verify hardware and OS compatibility.

Provide the SAS Installation Data (SID) file to license the software. Installation Types:

Personal Installation: All files are stored on the local PC.

Client Installation: Software runs locally but associates with shared files on a network server. Basic Programming Structure SAS 9.0 programs follow a standard two-step structure:

DATA Step: Used to retrieve, manage, and manipulate data. It organizes data into tables (data sets) with rows (observations) and columns (variables).

PROC Step: Used to analyze data and report findings. Common procedures include PROC PRINT for listing data and PROC MEANS for descriptive statistics. Core Components Base SAS Basic procedures and data management. SAS/STAT Advanced statistical analysis. SAS/GRAPH Graphics and data visualization. SAS/OR Operations research. SAS/ETS Econometrics and time series analysis.

For more modern applications, users typically transition to SAS 9.4 or cloud-native alternatives like SAS Viya. Real-World Impact: Use Cases for SAS 9

In SAS version 9.0, a "good report" is typically achieved by leveraging the Output Delivery System (ODS) and PROC REPORT, both of which saw significant enhancements in this release. SAS 9.0 (internally known as "Project Mercury") was specifically designed to make reporting more accessible and visually appealing for business users. Key Features for Better Reporting in SAS 9.0

ODS Enhancements: Version 9.0 introduced improved ODS formatting, allowing for more attractive, concise, and functional output beyond standard text listings.

Microsoft Office Integration: It added the ability to natively import and export Microsoft Excel 2002 spreadsheets and Access tables, making it easier to share reports in common office formats.

ODS LAYOUT (Experimental): This version introduced ODS LAYOUT, which allowed programmers to precisely place text, tables, and graphics on a single page, though it was considered experimental at the time.

SAS Enterprise Guide: Version 9 established SAS Enterprise Guide as the primary point-and-click interface, which simplified report creation for non-programmers.

Extended Names: Support for format and informat names longer than 8 characters was introduced, allowing for more descriptive labels within data and reports. Recommended Tools for Modern SAS 9 reporting

While 9.0 was groundbreaking, current users typically use SAS 9.4 (the latest maintenance release), which includes even more advanced reporting tools:

ODS EXCEL: A newer destination that creates native Excel files with high-quality formatting by default.

SGPLOT: Enhanced statistical graphics procedures for creating high-quality charts and plots.

SAS Content Assessment: For those moving to newer systems, the Profile report for SAS Enterprise Guide Migration helps evaluate existing reports and projects.

Real-World Impact: Use Cases for SAS 9.0

2. 64-Bit Computing and Extended Capabilities

Version 9.0 arrived as 64-bit server operating systems (Windows Server 2003, AIX 5L, Solaris 9, HP-UX 11i) became mainstream. SAS 9.0 was optimized for these environments, delivering:

  • Addressable memory beyond 4 GB: Allowing models on datasets with millions of rows to be held entirely in RAM.
  • Larger variable names: Up to 32 characters (from 8 in some older versions).
  • Support for up to 32,767 variables in a PDV (Program Data Vector) where earlier limits had been much lower.
  • Improved integer and floating-point precision using long primitive types.

For SAS programmers, this meant PROC SORT and PROC SQL could handle previously unthinkable volumes without crashing or swapping to disk.

Sample Code: Generating a Summary Report with ODS PDF

/* SAS 9.0 - Demonstrating ODS PDF output and DATA step enhancements */

/* Create sample sales data /
data sales_data;
length Product $15 Region $10;  / Explicit length for character vars */
do Year = 2001 to 2004;
do Region = 'North', 'South', 'East', 'West';
do Product = 'Widgets', 'Gadgets', 'Doohickeys';
Units = int(ranuni(0) * 1000 + 200);
Price = round(ranuni(0) * 50 + 10, 0.01);
Revenue = Units * Price;
output;
end;
end;
end;
run;


/* Use PROC MEANS with ODS to capture statistics */
ods output summary = sales_stats;
proc means data=sales_data sum mean nway;
class Region Product;
var Units Revenue;
output out=summary_data sum(Units Revenue)=TotalUnits TotalRevenue
mean(Units Revenue)=AvgUnits AvgRevenue;
run;
ods output close;


/* Generate formatted report in PDF (one of the new ODS destinations in 9.0) */
ods pdf file="C:\SAS90_Example.pdf" style=journal;


title "SAS 9.0 Regional Sales Report";
title2 "Data Period: 2001-2004";


proc print data=summary_data noobs label;
where type = 3;  /* Region*Product combinations */
var Region Product TotalUnits TotalRevenue AvgUnits AvgRevenue;
format TotalRevenue dollar12.2 AvgRevenue dollar10.2;
label TotalUnits = "Total Units Sold"
TotalRevenue = "Total Revenue"
AvgUnits = "Average Units per Year"
AvgRevenue = "Average Revenue per Year";
run;


ods pdf close;


/* Display log message confirming SAS version */
%put NOTE: This code is compatible with SAS Version 9.0;

1. Data Management

  • CAS (Cloud Analytic Services) – in-memory engine for big data
  • DS2 – advanced data manipulation with threading
  • FedSQL – ANSI SQL for multiple databases
  • HDAT procedure – high-performance analytics

SAS Version 9.0 (released in 2004) was a landmark update that transformed SAS from a coding-intensive tool into a more accessible business intelligence platform . This version introduced the SAS 9 Intelligence Platform

, which moved toward a centralized metadata-driven architecture. Key Features and Innovations SAS Enterprise Guide : Version 9.0 established SAS Enterprise Guide

as the primary point-and-click interface, allowing non-programmers to perform complex data analysis through visual process flows. Scalability and Performance : It introduced parallel processing and multi-threading for procedures like

, significantly speeding up data handling on systems with multiple CPUs. ODS Enhancements

: The Output Delivery System (ODS) was improved to better format reports for Excel, PDF, and HTML. Data Interoperability

: Added native support for importing and exporting files from Microsoft Excel 2002, Access 2002, SPSS, and Stata. Technical Architecture

SAS 9 utilizes a multi-tier architecture to manage data and processing: Metadata Tier

: Centralizes definitions of data, users, and security settings. Server/Compute Tier : Where the actual SAS processing and data analysis occur. Middle Tier

: Manages web traffic and coordinates communication between the client and server. Client Tier : The user-facing software, such as SAS Enterprise Guide SAS Management Console Common Commands for SAS 9 Users

The year was 2004, and the halls of SAS Institute were buzzing with the energy of "Project Mercury." For years, SAS had been the powerhouse of the back office—the domain of seasoned statisticians who spoke in the cryptic tongue of semi-colons and DATA steps. But with the launch of SAS Version 9.0, the world of data was about to get a major facelift. The Dawn of "Project Mercury"

For the data veterans of the early 2000s, Version 9.0 wasn't just another update; it was a revolution in accessibility. Before this, "point-and-click" felt like a distant dream. Version 9.0 introduced custom user interfaces tailored to specific roles, effectively democratizing data. The crown jewel was SAS Enterprise Guide, which became the primary graphical interface, allowing users to navigate complex datasets without needing to memorize every line of code. Under the Hood

While the surface was becoming friendlier, the engine underneath was getting more powerful. Version 9.0 brought:

Multi-Processing Prowess: Procedures like SORT, SQL, MEANS, and TABULATE were updated to take advantage of multi-processing I/O, drastically cutting down processing time for massive data jobs.

Macro Magic: Programmers gained new tools like the IN boolean operator, which turned long, messy strings of OR statements into clean, readable code.

Windows Integration: It was optimized for the latest tech of the time, including 32-bit and 64-bit Windows XP and Windows Server 2003. The Legacy

SAS 9.0 became the foundation for the longest-running version in the company’s history. It paved the way for modern giants like SAS Viya, transforming SAS from a niche tool for researchers into a global standard for business intelligence, drug discovery, and even NBA fan experiences.

The story of SAS Version 9.0 , released in 2004, is often remembered as the moment the "dinosaur" of heavy-duty coding grew a friendly face. Internally, the project was known by the ambitious codename "Project Mercury"

—a nod to the swift messenger of the gods, signaling a major shift in how fast and accessible data could become.

Before Version 9, SAS was largely the domain of "hardcore" programmers who spent their days in a wall of text. Project Mercury’s mission was to break those walls down by introducing a point-and-click interface The Birth of the "Business User"

The real drama of Version 9.0 wasn't just in the code, but in the user interface (UI) revolution . It marked the rise of the SAS Enterprise Guide

as the primary way people interacted with the software. Suddenly, you didn't need to be a coding wizard to run a regression or manage a database; you could be a business analyst who just wanted to understand customer behavior. A Swiss Army Knife for Science

While business users were clicking through menus, scientists were pushing Version 9.0 into bizarre and fascinating territories. Because of its massive processing power, Version 9.0 became a staple in academic research for decades, used in studies ranging from: Space Mysteries

: Astronomers used SAS 9.0 to process data from the XMM-Newton satellite, helping to map the X-ray lightcurve of Sagittarius A

* (the supermassive black hole at the center of our galaxy) over a 150-year period. The Science of Music : Researchers used it to analyze whether different musical rhythms

could improve the welfare and physiological health of livestock. Childhood Health

: It was used to estimate missing physical activity data for children by analyzing "wear time" from accelerometers. The Legacy of the "9" Even as newer, cloud-based versions like

have arrived, the "9.x" lineage remains the backbone of highly regulated industries like clinical research and banking. It established the standard for an audit trail

, where every click and code run is automatically documented—a feature that made it "better than Excel" for high-stakes enterprise work. specific differences between the classic SAS 9.0 and the modern cloud platform? What is Brief History of SAS Company? - PESTEL Analysis

The Evolution of Analytics: A Deep Dive into SAS Version 9.0

Released in 2004, SAS Version 9.0 (internally codenamed "Project Mercury") represented one of the most significant architectural shifts in the history of the SAS Institute. Designed to make advanced analytics accessible to a broader range of business users, Version 9.0 introduced fundamental changes to how the software processed data and how users interacted with it. A New Architectural Standard: Multi-Threaded Processing

The most critical technical advancement in SAS 9.0 was the introduction of a multi-threaded architecture. Prior to this version, SAS typically operated in a serial fashion, processing data one step at a time.

Threaded Kernel (TK): Version 9.0 introduced the threaded kernel, allowing the software to break down complex tasks—such as sorting and summarization—into smaller "chunks" that could be processed simultaneously across multiple CPUs.

Automatic Performance Gains: Many procedures, including PROC SORT and PROC MEANS, were modified to automatically detect and utilize multiple processors, significantly reducing execution times for large-scale data tasks.

Scalable Performance Data Engine (SPDE): This engine enabled parallel I/O, allowing SAS to read and write data to multiple partitioned sets simultaneously, further increasing throughput. User Experience and Accessibility

Before Version 9.0, SAS was primarily the domain of expert programmers. "Project Mercury" sought to change this by introducing role-based interfaces and enhancing graphical options.

SAS Enterprise Guide: Version 9.0 established SAS Enterprise Guide as the primary point-and-click graphical user interface (GUI), allowing users to perform complex analyses without writing raw code.

Enhanced Editor: The software introduced improvements to the programming environment, such as the Enhanced Editor with autosave features and better accessibility aids for Windows users.

ODS Improvements: The Output Delivery System (ODS) saw major enhancements, including better formatting options and the ability to export directly to Microsoft Excel 2002 files. Key Functional Enhancements

Beyond the architecture, SAS 9.0 introduced a suite of new functions and procedures that streamlined the data management process.

New Statistical Functions: For the first time, common tasks like calculating a median became simple with the introduction of the MEDIAN function. Other additions included the "CAT" family of functions for easier string concatenation (replacing cumbersome TRIM and LEFT combinations).

Extended Format Names: Version 9.0 increased the limit for numeric and character format names to 32 and 31 characters respectively, moving past the traditional 8-byte limit.

Data Integrity: Enhanced support for audit trails and integrity constraints allowed users to better track updates and prevent data entry errors. Impact on Industry Research

Because of its stability and advanced capabilities, SAS Version 9.0 became a staple in academic and medical research. It has been used extensively for:

SAS Version 9.0 (released in 2002-2004) was a landmark release known as "Project Mercury". It introduced significant architectural changes, specifically a point-and-click interface designed to make SAS more accessible to non-programmers. Key Features and Enhancements

SAS 9.0 focused on scalability, performance, and user experience.

Multiprocessing Capabilities: Enhanced control over hardware processing for better performance on multi-CPU systems.

Graphical User Interface (GUI): SAS Enterprise Guide became the primary point-and-click interface, allowing users to build tasks and manage data without writing manual code.

Advanced Data Management: Added relational database entry functions, audit trails for tracking updates, and generation data sets for backing up data.

ODS Enhancements: Improved Output Delivery System (ODS) for creating custom reports and formatting, including better integration with Excel 2002 files.

New Functions: Introduced numerous new character and numeric functions, formats, and procedures like PROC CALIS (for path analysis). Installation Guide Installing SAS 9.0 typically involves the SAS Setup Wizard.

Preparation: Ensure system requirements are met; modern systems (e.g., Windows 11) generally require newer versions like SAS 9.4M7 or higher. SAS Setup Wizard: Insert the setup media (CD-ROM or network location).

Run the System Requirements Wizard to verify hardware and OS compatibility.

Provide the SAS Installation Data (SID) file to license the software. Installation Types:

Personal Installation: All files are stored on the local PC.

Client Installation: Software runs locally but associates with shared files on a network server. Basic Programming Structure SAS 9.0 programs follow a standard two-step structure:

DATA Step: Used to retrieve, manage, and manipulate data. It organizes data into tables (data sets) with rows (observations) and columns (variables).

PROC Step: Used to analyze data and report findings. Common procedures include PROC PRINT for listing data and PROC MEANS for descriptive statistics. Core Components Base SAS Basic procedures and data management. SAS/STAT Advanced statistical analysis. SAS/GRAPH Graphics and data visualization. SAS/OR Operations research. SAS/ETS Econometrics and time series analysis.

For more modern applications, users typically transition to SAS 9.4 or cloud-native alternatives like SAS Viya.

In SAS version 9.0, a "good report" is typically achieved by leveraging the Output Delivery System (ODS) and PROC REPORT, both of which saw significant enhancements in this release. SAS 9.0 (internally known as "Project Mercury") was specifically designed to make reporting more accessible and visually appealing for business users. Key Features for Better Reporting in SAS 9.0

ODS Enhancements: Version 9.0 introduced improved ODS formatting, allowing for more attractive, concise, and functional output beyond standard text listings.

Microsoft Office Integration: It added the ability to natively import and export Microsoft Excel 2002 spreadsheets and Access tables, making it easier to share reports in common office formats.

ODS LAYOUT (Experimental): This version introduced ODS LAYOUT, which allowed programmers to precisely place text, tables, and graphics on a single page, though it was considered experimental at the time.

SAS Enterprise Guide: Version 9 established SAS Enterprise Guide as the primary point-and-click interface, which simplified report creation for non-programmers.

Extended Names: Support for format and informat names longer than 8 characters was introduced, allowing for more descriptive labels within data and reports. Recommended Tools for Modern SAS 9 reporting

While 9.0 was groundbreaking, current users typically use SAS 9.4 (the latest maintenance release), which includes even more advanced reporting tools:

ODS EXCEL: A newer destination that creates native Excel files with high-quality formatting by default.

SGPLOT: Enhanced statistical graphics procedures for creating high-quality charts and plots.

SAS Content Assessment: For those moving to newer systems, the Profile report for SAS Enterprise Guide Migration helps evaluate existing reports and projects.

Real-World Impact: Use Cases for SAS 9.0

2. 64-Bit Computing and Extended Capabilities

Version 9.0 arrived as 64-bit server operating systems (Windows Server 2003, AIX 5L, Solaris 9, HP-UX 11i) became mainstream. SAS 9.0 was optimized for these environments, delivering:

For SAS programmers, this meant PROC SORT and PROC SQL could handle previously unthinkable volumes without crashing or swapping to disk.

Sample Code: Generating a Summary Report with ODS PDF

/* SAS 9.0 - Demonstrating ODS PDF output and DATA step enhancements */

/* Create sample sales data /
data sales_data;
length Product $15 Region $10;  / Explicit length for character vars */
do Year = 2001 to 2004;
do Region = 'North', 'South', 'East', 'West';
do Product = 'Widgets', 'Gadgets', 'Doohickeys';
Units = int(ranuni(0) * 1000 + 200);
Price = round(ranuni(0) * 50 + 10, 0.01);
Revenue = Units * Price;
output;
end;
end;
end;
run;


/* Use PROC MEANS with ODS to capture statistics */
ods output summary = sales_stats;
proc means data=sales_data sum mean nway;
class Region Product;
var Units Revenue;
output out=summary_data sum(Units Revenue)=TotalUnits TotalRevenue
mean(Units Revenue)=AvgUnits AvgRevenue;
run;
ods output close;


/* Generate formatted report in PDF (one of the new ODS destinations in 9.0) */
ods pdf file="C:\SAS90_Example.pdf" style=journal;


title "SAS 9.0 Regional Sales Report";
title2 "Data Period: 2001-2004";


proc print data=summary_data noobs label;
where type = 3;  /* Region*Product combinations */
var Region Product TotalUnits TotalRevenue AvgUnits AvgRevenue;
format TotalRevenue dollar12.2 AvgRevenue dollar10.2;
label TotalUnits = "Total Units Sold"
TotalRevenue = "Total Revenue"
AvgUnits = "Average Units per Year"
AvgRevenue = "Average Revenue per Year";
run;


ods pdf close;


/* Display log message confirming SAS version */
%put NOTE: This code is compatible with SAS Version 9.0;

1. Data Management