DZone
Thanks for visiting DZone today,
Edit Profile
  • Manage Email Subscriptions
  • How to Post to DZone
  • Article Submission Guidelines
Sign Out View Profile
  • Post an Article
  • Manage My Drafts
Over 2 million developers have joined DZone.
Log In / Join
Refcards Trend Reports Events Over 2 million developers have joined DZone. Join Today! Thanks for visiting DZone today,
Edit Profile Manage Email Subscriptions Moderation Admin Console How to Post to DZone Article Submission Guidelines
View Profile
Sign Out
Refcards
Trend Reports
Events
Zones
Culture and Methodologies Agile Career Development Methodologies Team Management
Data Engineering AI/ML Big Data Data Databases IoT
Software Design and Architecture Cloud Architecture Containers Integration Microservices Performance Security
Coding Frameworks Java JavaScript Languages Tools
Testing, Deployment, and Maintenance Deployment DevOps and CI/CD Maintenance Monitoring and Observability Testing, Tools, and Frameworks
Culture and Methodologies
Agile Career Development Methodologies Team Management
Data Engineering
AI/ML Big Data Data Databases IoT
Software Design and Architecture
Cloud Architecture Containers Integration Microservices Performance Security
Coding
Frameworks Java JavaScript Languages Tools
Testing, Deployment, and Maintenance
Deployment DevOps and CI/CD Maintenance Monitoring and Observability Testing, Tools, and Frameworks
What's in store for DevOps in 2023? Hear from the experts in our "DZone 2023 Preview: DevOps Edition" on Fri, Jan 27!
Save your seat
  1. DZone
  2. Coding
  3. Languages
  4. Descriptive Analysis With SAS

Descriptive Analysis With SAS

Different descriptive analysis techniques with SAS include PROC MEANS, PROC ANOVA, PROC FREQ, PROC UNIVARIATE, and PROC CORR.

Jitendra Bafna user avatar by
Jitendra Bafna
CORE ·
Mar. 17, 17 · Opinion
Like (4)
Save
Tweet
Share
19.58K Views

Join the DZone community and get the full member experience.

Join For Free

PROC MEANS is one of the most common SAS procedures used for analyzing data. It is used to calculate descriptive statistics like the number of observations (N), mean, standard deviation, and max and min value.

proc means data = libref.ecommerce ;
run;

This code will compute descriptive statistics for all the numeric variables in the dataset.

Image title

proc means data = libref.ecommerce ;
var Sales Profit;
run;

This code will compute descriptive statistics for two variables: Sales and Profit.

Image title

proc means data = libref.ecommerce ;
var Sales Profit;
class Ship_mode;
run;

It will also be grouped by Ship_mode.

Image title

proc means data = libref.ecommerce Mean Median Mode P25 P50 P75;
var Sales Profit;
run;

By default, proc means will give you the number of observations (N), mean, standard deviation, and max and min value. If you want to compute the median percentiles, use the above code.

Image title

PROC ANOVA stands for Analysis of Variance. In the analysis of variance, a continuous response variable known as a dependent variable is measured under experimental conditions identified by classification variables known as independent variables.

Proc anova data=Libref.College;
Title 'Anova Analysis';
Class GRAD_PER;
Model Admission_YN = GRAD_PER;
Run;

Image title

Image title

PROC FREQ prints all values of a given categorical variable in the Output window, along with the number and percentage of times each value appears. It can be used for both numeric as well as character variables.

proc freq data=libref.ecommerce;
tables order_priority;
run;

This code will calculate the number and percentage of time each value appears for the order_priority variable.

Image title

PROC UNIVARIATE computes descriptive statistics based on moments (including skewness and kurtosis), quartiles or percentiles (such as the median), frequency tables, and extreme values. It also provides statements for creating hostograms.

proc univariate data = libref.ecommerce;
var sales;
histogram sales/normal;
run;

Image title

Image title

Image titlePROC CORR computes Pearson correlation coefficients, three nonparametric measures of association, polyserial correlation coefficients, and the probabilities associated with these statistics.

proc reg data = libref.ecommerce;
model sales=quantity;
run;

Image title


Image title

Now, you know different descriptive analysis techniques with SAS.

SAS (software)

Opinions expressed by DZone contributors are their own.

Popular on DZone

  • How to Cut the Release Inspection Time From 4 Days to 4 Hours
  • How To Use Terraform to Provision an AWS EC2 Instance
  • Distributed Stateful Edge Platforms
  • Mr. Over, the Engineer [Comic]

Comments

Partner Resources

X

ABOUT US

  • About DZone
  • Send feedback
  • Careers
  • Sitemap

ADVERTISE

  • Advertise with DZone

CONTRIBUTE ON DZONE

  • Article Submission Guidelines
  • Become a Contributor
  • Visit the Writers' Zone

LEGAL

  • Terms of Service
  • Privacy Policy

CONTACT US

  • 600 Park Offices Drive
  • Suite 300
  • Durham, NC 27709
  • support@dzone.com
  • +1 (919) 678-0300

Let's be friends: