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I recently saw a cool graph showing the US import/export trade deficit. But after studying it a bit, I realized I was perceiving it wrong. Follow along in this blog, to find out what the problem was, and how I redesigned the graph to avoid it. I was looking through dadaviz.com
Bigger doesn’t always mean better. And that’s often the case with big data. Your data quality (DQ) problem – no denial, please – often only magnifies when you get bigger data sets. Having more unstructured data adds another level of complexity. The need for data quality on Hadoop is shown by user
Imagine the following scenario. You have many data sets from various sources, such as individual stores or hospitals. You use the SAS DATA step to concatenate the many data sets into a single large data set. You give the big data set to a colleague who will analyze it. Later
“Un científico de datos es una persona que es mejor estadístico que un ingeniero de sistemas y que es mejor ingeniero de sistemas que cualquier estadístico”, Jorge Quiroga, CEO de Blacksip. Ese es el tono en el que se habla hoy de los científicos de datos. Tono que si le
In the oil and gas industry, analytics are used to improve both upstream and downstream operations, from optimizing exploration and forecasting production to reducing commodity trading risk and understanding customer's energy needs. If you plan to derive value from the digital oil field, big data, and analytics, one of the first things
If you are familiar with the output delivery system (ODS), then you know that you can modify the tables and graphs that analytical procedures display by modifying table and graph templates. Perhaps less familiar is the fact that you can also modify dynamic variables. Tables and graphs are constructed from
In my quest for interesting data to graph, I found some Drug Enforcement Administration (DEA) data on US domestic cannabis eradication. Does the data say anything interesting? Read on to find out! ... While doing some searches for other data, I happened across a table on the DEA website titled
Encryption and SAS is a wide ranging topic – so wide it gets its own book and features strongly in both the SAS(R) 9.4 Intelligence Platform: Security Administration Guide, Second Edition and SAS(R) 9.4 Intelligence Platform: Middle-Tier Administration Guide, Third Edition. In this blog we’ll take a high level look at
Oh, how times have changed during my 20-plus years in the insurance industry. Data wasn’t a word we used much back in the 80s and 90s, unless of course you worked in those arcane and mysterious IT data centres. Even amidst the computerisation of the insurance industry in the 80s, many
SAS 9.4 Maintenance release 3 was released on July 14. The ODS Graphics procedures include many important, useful and cool features in this release, some that have been requested by you for a while. In the next few articles, I will cover some of these features. Last time I covered
There's been quite a bit of controversy about the number of undocumented immigrants in the US lately - for example, Ann Coulter claims that number is 30 million, whereas others claim it's about 11 million (readers of my blog are data-savvy, and would dig into the details of such claims,
I returned to work from a 2+ week vacation this morning. When I fired up SAS Enterprise Guide (as I do each work day and occasionally on weekends), I was greeted with this message: As a SAS insider, I knew this was coming. It's a new feature that was added
SAS 9.4 M3 released in July 2015 with some interesting new features and functionality for platform SAS administrators. In this blog I will review at a very high level the major new features. For details you can see the SAS 9.4 System Administration guide. SAS 9.4 M3 includes a new release
I saw the dress photo as blue & black. If you're a female, even if we perceived the exact same color, you might might not have said 'blue & black'. That's because women have a larger color vocabulary than men, and you might have elaborated on exactly which blue and
SAS recently held the Detroit Automotive Analytics Executive Forum to bring together leaders from the Industry. We heard from an experienced group of leaders on the future of the automotive industry, best practices for analytics success, innovative retail analytics, customer experience analytics, the connected vehicle, and competing on analytics. Following