We use cookies, including third-party cookies from Google to serve personalized ads through AdSense, to operate this site and understand how it is used. By continuing to browse, you accept this use. See our Privacy Policy and Terms of Use for details, including how to opt out of personalized advertising.
Accept
SmartData CollectiveSmartData Collective
  • Analytics
    AnalyticsShow More
    What Kind of Problem-Solving Distinguishes Data Analysts From Software Engineers -- AI-generated illustration
    What Kind of Problem-Solving Distinguishes Data Analysts From Software Engineers
    7 Min Read
    chatgpt image jul 21, 2026, 04 34 30 pm
    4 Core Benefits of Predictive Maintenance after Vibration Analysis
    10 Min Read
    How Does Data Mining Boost Customer Satisfaction in Logistics? Harnessing Analytics for Results -- AI-generated illustration
    How Does Data Mining Boost Customer Satisfaction in Logistics? Harnessing Analytics for Results
    11 Min Read
    chatgpt image jul 13, 2026, 04 23 45 pm
    How Data Analytics Helps Companies Improve User Engagement
    19 Min Read
    chatgpt image jul 13, 2026, 03 59 46 pm
    How Data Analytics Improves Multi-Location Search Strategies
    10 Min Read
  • Big Data
  • BI
  • Exclusive
  • IT
  • Marketing
  • Software
Search
© 2008-25 SmartData Collective. All Rights Reserved.
Reading: SAS ODS Report Writing Interface: A Quick Demo
Share
Notification
Font ResizerAa
SmartData CollectiveSmartData Collective
Font ResizerAa
Search
  • About
  • Help
  • Privacy
Follow US
© 2008-23 SmartData Collective. All Rights Reserved.
SmartData Collective > Big Data > Data Visualization > SAS ODS Report Writing Interface: A Quick Demo
Big DataData VisualizationSoftware

SAS ODS Report Writing Interface: A Quick Demo

JiangtangHu
JiangtangHu
5 Min Read
SAS ODS Report Writing Interface: A Quick Demo
Illustrative image generated with OpenAI gpt-image-1.
SHARE

I personally nominated SAS ODS Report Writing Interface as one of the best technologies I found in SAS in 2012. It can generate reports cell by cell and row by row and provides a lot of flexibility to produce highly customized reports. Basically, to use it,

  • first assign an ODS destination. Nothing new, and I prefer HTML like

ods html   file=”output.html” style=sasweb;

  • then create a object(instance) based on the ODS Report Writing class, odsout,

declare odsout myout();

ODS Report Writing Interface holds some so-called object-oriented features. Odsout is a predefined class (or, a SET, a CONTAINER), then you take from it an instance or an object, myout(or any other legal SAS variable names). Suppose Odsout is a class for apples, then myout is a specific apple.

More Read

Big Data Improves the Features of Debit and Credit Cards
Big Data Improves the Features of Debit and Credit Cards
The Type of Data Marketers Need from IT
TDWI Boston Dec 6 – Secrets of Analytical Leaders: Insights from Information Insiders +
Leveraging Big Data and Analytics to Enhance Patient-Centered Care
How The US Online Gaming Industry Is Turning To Big Data To Survive
  • apply methods associated with the Odsout class, like CELL, ROW, TABLE to generate reports.

Roughly methods are just the functions (subroutines, procedures) in the object oriented world. For example, in SAS Data Steps, you use function weight(apple) to get the weight of the apple; in object oriented world, you use apple.weight() to return the same thing. In ODS Report Writing Interface, if you want to get a table, use TABLE methods:

    • myout.TABLE_START() to start a table
    • myout.TABLE_END to end a table

Then all we need to do next is to use the flexible SAS data steps to leverage the ODS Report Writing Interface methods (see docs). The codes, you can see below, are pretty verbose compared to its counterparts, PROC REPORT, but that’s why it gains power to build highly customized reports. It’s also very structural (and easy to build, like playing blocks):

/*making a sortable HTML table*/
%macro ods_html_sort_table;
   
   
   
%mend;

title ;
ods listing close;
ods html   file=”a:\test\iris.html” style=sasweb headtext=”%ods_html_sort_table”;

data _null;
    set sashelp.iris;
    by Species;
   
/*    create an object, obj, based on the ODS Report Writing class, odsout*/
    if _n_ = 1 then do;
        dcl odsout obj();
    end;

    if (first.Species) then do; *by group processing;
       obj.title(text: “Fisher’s Iris Data Set by Species”); *title;

/*       start a table*/
       obj.table_start();
               obj.row_start();
              if (Species = “Setosa”) then
                 obj.image(file: “Iris_setosa.jpg” );*insert image;
              else if (Species = “Versicolor”) then
                 obj.image(file: “Iris_versicolor.jpg” );
              else if (Species = “Virginica”) then
                 obj.image(file: “Iris_virginica.jpg” );
            obj.row_end();

            obj.row_start();
                obj.format_cell(text: “Iris Species”,  overrides: “fontweight=bold just=right” );
                obj.format_cell(text: Species, column_span: 3, overrides: “just=left”);
            obj.row_end();

            obj.row_start();
                obj.format_cell(text: “Unit”,  overrides: “fontweight=bold just=right” );
                obj.format_cell(text: “(mm)”, column_span: 3, overrides: “just=left”);
            obj.row_end();
       obj.table_end();

       /* start another table */
       obj.table_start();
            obj.head_start();
                obj.row_start();
                    obj.format_cell(text: “Sepal Length” , overrides: “fontweight=bold”);
                    obj.format_cell(text: “Sepal Width” , overrides: “fontweight=bold”);
                    obj.format_cell(text: “Petal Length” , overrides: “fontweight=bold”);
                    obj.format_cell(text: “Petal Width” , overrides: “fontweight=bold”);
                obj.row_end();
            obj.head_end();
    end;

        obj.row_start();
            obj.format_cell(data: SepalLength);
            obj.format_cell(data: SepalWidth);
            obj.format_cell(data: PetalWidth);
            obj.format_cell(data: SepalLength);
        obj.row_end();

    if (last.Species) then do;
        obj.table_end();

        obj.note(data: “Note: These Tables are Sortable.”); *note;

        obj.foot_start(); *footer;
            obj.row_start();
                obj.cell_start();
                    obj.format_text(data: “Footer: Data from SAS V&sysver at &sysscp &sysscpl Sashelp.iris”,just:”C”);
                obj.cell_end();
            obj.row_end();
        obj.foot_end();

        obj.page();
    end;
run;

ods html close;
ods listing;

Note:

    • A flavor added to get a sortable HTML report. Thanks to Charlie Huang and then Andrew Z to introduce a Javascript library JQury to SAS HTML report.
    • The full report, see here.
    • If column spannings needed, use the following codes as header (and the report here):

obj.head_start();
    obj.row_start();
        obj.format_cell(text: “Sepal” , overrides: “fontweight=bold”,column_span: 2);
        obj.format_cell(text: “Petal” , overrides: “fontweight=bold”,column_span: 2);
    obj.row_end();

    obj.row_start();
        obj.format_cell(text: “Length” );
        obj.format_cell(text: “Width” );
        obj.format_cell(text: “Length” );
        obj.format_cell(text: “Width” );
    obj.row_end();
obj.head_end();

  • ODS Report Writing Interface will get rid of its preproduction hat since SAS 9.4, but you can use it somehow since SAS 9.1.3. For more, see the draft SAS 9.4 ODS documentation with ODS Report Writing Interface.
  • To get started, see the developer’s paper.
TAGGED:ODSprogrammingsas
Share This Article
Facebook Pinterest LinkedIn
Share

Follow us on Facebook

Latest News

Flat editorial illustration: The article's core relationship is workload-by-workload decision-making for cloud migration, where s
Which Workloads Should Move to the Cloud?
Cloud Computing Exclusive IT
Flat editorial illustration: The article positions data governance as a strategic board-level concern rather than a purely techni
Why Data Governance Is Becoming a Board-Level Business Priority
Big Data Exclusive Policy and Governance
Flat editorial illustration: The article argues that data annotation quality should be measured by inspectable gold sets, written
The Top Data Annotation Companies Are Separated by Proof of Quality, Not Headcount
Big Data Exclusive
Flat editorial illustration: The article's core relationship is the gap between raw bank-feed records and reliable subscription i
Subscription Trackers Have a Transaction Data Problem
Big Data Exclusive

Stay Connected

1.2KFollowersLike
33.7KFollowersFollow
222FollowersPin

You Might also Like

Analytics Valley: Big Data, Data Scientists and SAS Programmers
AnalyticsHadoopOpen Source

Analytics Valley: Big Data, Data Scientists and SAS Programmers

5 Min Read
Learning SPSS for SAS users
Data MiningPredictive Analytics

Learning SPSS for SAS users

4 Min Read
SAS Stored Process Errors: Three Common Issues to Avoid
Analytics

SAS Stored Process Errors: Three Common Issues to Avoid

3 Min Read
Top Programming Languages For Data Developers In 2019
ExclusiveProgramming

Top Programming Languages For Data Developers In 2019

8 Min Read

SmartData Collective is one of the largest & trusted community covering technical content about Big Data, BI, Cloud, Analytics, Artificial Intelligence, IoT & more.

How To Get An Award Winning Giveaway Bot
How To Get An Award Winning Giveaway Bot
Big Data Chatbots Exclusive
AI chatbots
AI Chatbots Can Help Retailers Convert Live Broadcast Viewers into Sales!
Chatbots

Quick Link

  • About
  • Contact
  • Privacy
Follow US
© 2008-26 SmartData Collective. All Rights Reserved.
Welcome Back!

Sign in to your account

Username or Email Address
Password

Lost your password?