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Data simulation is a fundamental technique in statistical programming and research. My book Simulating Data with SAS is an accessible how-to book that describes the most useful algorithms and the best programming techniques for efficient data simulation in SAS. Here are five lessons you can learn by reading it: Learn strategies
It’s common at the start of a new year to create a long list of resolutions that we hope to achieve. The reality, of course, is by February those resolutions will likely be a distant memory. The key to making any resolution stick is to start small. Create one small
We now live in the era of ‘big data’, where data and its analysis have become crucial to the modern economy. In fact, "big data is the new 'corporate gold'," according to Mark Wilkinson, managing director of SAS UK & Ireland. A recent study by Cebr found that companies in
A common task in SAS/IML programming is finding elements of a SAS/IML matrix that satisfy a logical expression. For example, you might need to know which matrix elements are missing, are negative, or are divisible by 2. In the DATA step, you can use the WHERE clause to subset data.
It’s that time of year again when we look back and consider how accurately and extensively the SAS story was covered in the media over the past year. It’s not always a simple or predictable story, but it is usually interesting. Consider some of these threads: How did companies or
To get into the mood for this blog post, you should first listen to the music video of The Who singing My Generation... I guess everybody has 'their generation' and here in the U.S. the most famous generation has been the Baby Boomers. Many companies have tried to design products they
Including special Unicode symbols into the graph is getting more popular. In general, SG procedures support Unicode strings in places where these strings are coded into the syntax such as TITLE, FOOTNOTE. These support Unicode characters and also the special {SUP} and {SUB} commands. This is because these statements are rendered
While perusing the SAS 9.4 DS2 documentation, I ran across the section on the HTTP package. This intrigued me because, as DS2 has no text file handling statements I assumed all hope of leveraging Internet-based APIs was lost. But even a Jedi is wrong now and then! And what better
This is the last of my series of posts on the NIST definition of cloud computing. As you can see from this Wikipedia definition, calling anything a “cloud” is likely to be the fuzziest way of describing it. In meteorology, a cloud is a visible mass of liquid droplets or frozen
Outside, the Cary, NC sky is gray and winds are blowing freezing rain, but a group of statisticians at SAS are channeling warm green hills and the soft, gold light of a California evening. Team conversations alternate between distributed processing, PROC IMSTAT and how many pairs of shorts to pack.
After working in the data quality industry for a number of years, I have realized that most practitioners tend to have a rather rigid perception of the assertions about the quality of data. Either a data set conforms to the set of data quality criteria and is deemed to be acceptable
As a blogger, I often wonder whether my blog posts are 'successful' - and being a graph guy, I like to visually analyze the data, to try to answer that question. The most common measure of a blog post is probably the number of times it was viewed, so I guess
This isn't Kansas anymore. Oz has become a sprawling, smart metropolis filled with sensor data. How do we make sense of, clean, govern and glean value from this big data so we can get Dorothy home? The answer is SAS Data Management. With the latest portfolio updates, customers will be
No es un secreto que las empresas están aplicando cada vez más soluciones de Big Data para tomar las decisiones de negocio adecuadas. Sin embargo, corren el riesgo de caer en prácticas monótonas por desconocimiento y por no atreverse a usar nuevas estrategias que, en muchos casos, podrían evitarles riesgos
Over the past decade in insurance, the rise of the aggregators (organisations that compare quotes between different insurers) and direct channels has had a profound impact on personal lines distribution in the UK. However, personal lines brokers remain a critical route to market, especially at a time when many insurers