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This document provides an introduction to the PROC REPORT procedure in the SAS System, showcasing its capabilities in generating reports and handling data in a non-windowing environment.
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How to fill out PROC REPORT - SAMPLE REPORTS

01
Open the PROC REPORT procedure in your SAS program.
02
Define the dataset you want to report on using the DATA= option.
03
Specify the columns to include in the report with the VAR statement.
04
Use the CLASS statement to categorize data, if necessary.
05
Customize the report layout with options like HEADLINE, HEADSKIP, and TITLE.
06
Add formatting options for numeric and character variables as needed.
07
Run the procedure to generate the report.

Who needs PROC REPORT - SAMPLE REPORTS?

01
Data analysts who need to create detailed reports.
02
Researchers summarizing their findings in a structured format.
03
Business professionals presenting data insights to stakeholders.
04
Anyone looking to analyze datasets and present findings in a tabular format.
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PROC FORMAT is a procedure that creates map- pings of data values into data labels. The user de- fined FORMAT mapping is independent of a SAS DATASET and variables and must be explicitly as- signed in a subsequent DATASTEP and/or PROC. PROC FORMAT can be viewed as a table lookup.
PROC REPORT constructs a report as follows: It consolidates the data by group, order, and across variables. It calculates all statistics for the report, those for detail rows as well as those for summary lines in breaks. Statistics include those computed for analysis variables.
Reports can be categorized as detail, summary, customized, and multipanel. Examples of each are shown in Figures 1.1 through 1.4. Detail reports list information at the observation level of a data set (see Figure 1.1).
PROC FORMAT can be used to define groups of data. If your data are numeric, the groups allow you to report the data as meaningful distributions. The groups also allow data to be recoded based on the group definitions. Groups can be defined and then codes assigned to each group.
In general, PROC PRINT is simple to use and provides a quick approach with minimal statements. However, beyond simple listings, PROC PRINT has limited options, whereas PROC REPORT can also produce simple listings, without too many more statements or options than PROC PRINT, and provides much more flexibility.
In general, PROC PRINT is simple to use and provides a quick approach with minimal statements. However, beyond simple listings, PROC PRINT has limited options, whereas PROC REPORT can also produce simple listings, without too many more statements or options than PROC PRINT, and provides much more flexibility.
The basic syntax of PROC REPORT is as follows : proc report data=dataset-name; column variable1 variable2 variable3; run; data=dataset-name: Specify the dataset that contains the data you want to include in the report. column: Specify the order and variables to be shown in the report.
PROC REPORT Option Tables LS= Spacing for line-size. PS= Spacing for page-size. MISSING Do not drop missing values in calculations and groupings. REPORT= Calls specific stored report definition.

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PROC REPORT is a procedure in SAS (Statistical Analysis System) used to create customizable reports from data sets. It allows users to define how data is displayed, including formatting, calculations, and layout.
Individuals or organizations that regularly handle data analysis and reporting using SAS, especially those in fields such as finance, healthcare, or research where reporting standards are necessary.
To fill out PROC REPORT, users must specify the data source, define the variables to be included in the report, and customize presentation options such as sorting, grouping, and applying calculations. Users can write the PROC REPORT code in a SAS program and execute it to generate the report.
The purpose of PROC REPORT is to produce formatted reports from data in SAS datasets. It helps to summarize, present, and analyze data in an organized manner, making it easier for users to draw conclusions and make decisions based on the displayed information.
The information reported should include relevant data variables, summaries (like means or totals), and any other calculations or groupings required for clarity. This may also include titles, footnotes, and specific segmentation of data as per reporting requirements.
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