SAS Users
Providing technical tips and support information, written for and by SAS users.![Easier Space Management for EV Data Mart Tables in 9.4M4](https://blogs.sas.com/content/sgf/files/2016/12/EV-Data-Mart-Tables-in-9.4M4.jpg)
The report-ready SAS Environment Manager Data Mart has been an invaluable addition to SAS 9.4 for SAS administrators. The data mart tables are created and maintained by the SAS Environment Manager Service Architecture Framework and provide a source of data for out-of-the box reports as well as custom reports that any
![Dr. Strangeformat or: How I Learned to Stop Joining Tables and Love the PROC](https://blogs.sas.com/content/sgf/files/2016/12/Joining-tables-with-PROC-FORMAT.png)
The title of this post borrows from Stanley Kubrick’s 1964 comedy “Dr. Strangelove or: How I Learned to Stop Worrying and Love the Bomb.” It stars the great Peter Sellers as the titular character as well as George C. Scott and Slim Pickens. The black and white film is strange
![Creating and Using Multilabel Formats](https://blogs.sas.com/content/sgf/files/2016/12/Creating-and-Using-Multilabel-Formats01.jpg)
A multilabel format enables you to assign multiple labels to a value or a range of values. The capability to add multilabel formats was added to the FORMAT procedure in SAS® 8.2. You assign multiple labels by specifying the MULTILABEL option in the VALUE statement of PROC FORMAT. For example,
![Truncating decimal numbers in SAS without rounding](https://blogs.sas.com/content/sgf/files/2016/12/Truncating-decimal-numbers-in-SAS-without-rounding03.jpg)
Imagine making $50K a day out of thin air. Did you know that NASDAQ routinely processes around 10,000,000 trades a day? What if instead of rounding cents for each transaction, market makers truncated fractions of cents in the amount they owe you? Under the assumption that each transaction, on average,
![Fun with SAS Text Analytics: A qualitative analysis of IALP papers](https://blogs.sas.com/content/sgf/files/2016/12/Fun-with-SAS-Text-Analytics_01.png)
Last week, I attended the IALP 2016 conference (20th International Conference on Asian Language Processing) in Taiwan. After the conference, each presenter received a u-disk with all accepted papers in PDF format. So when I got back to Beijing, I began going through the papers to extend my learning. Usually, when
![Making data personal: Big data made small](https://blogs.sas.com/content/sgf/files/2016/12/Big-data-made-small.png)
Editor's note: Amanda Farnsworth is Head of Visual Journalism at BBC News and a featured speaker at SAS Global Forum 2017, April 2-5, 2017 in Orlando. My days are spent trying to put the best content we can in front of our loyal, heartland audience, while reaching out to others,