When you start to learn how to work with the BI Dashboard tool – the blank slate can be the scariest single element you face. What goes where? How can I make it look better? Here’s some suggestions I have used. Review Dashboard Sources Use Google Images to find examples of what other designers have created. When you can see an overview of dashboards as thumbnail images, the better ones are more apparent. Study the colors and graphics used. Note what really makes the data communicate its message versus what looks like a cool concept for the designer, such as putting a steering wheel on the dashboard! From the Google homepage, type dashboard or dashboard design or dashboard examples and select Images from the bar, as shown below. You can then click on the more interesting ones to see a close up. Also notice how the data is visualized – was the bar graph or the gauge more effective. Can you understand within a few moments what the dashboard is measuring? Recreate What You See For Fun! Once you find some dashboards you admire, recreate the information using the BI Dashboard. By using data that is not meaningful […]
How will big data and high-performance analytics affect your world?
If you’re in the field of analytics, you’re more than familiar with the term ‘big data.’ It’s one of the big (no pun intended) topics on the agenda at Analytics 2012. Keynote speaker Will Hakes will kick it off with his presentation, “The R…
WUSS 2012 Long Beach Paper
I have posted my paper (An Introduction to Git Version Control…) at my sas-resources.com site:
http://www.sas-resources.com/recipes/an-introduction-to-git-version-control-for-sas-programmers
Thanks to everyone at WUSS who attended, everyone who aske…
Example 10.1: Read a file byte by byte
More and more makers of electronic devices use standard storage media to record data. Sometimes this is central to the device’s function, as in a camera, so that the data must be easy to recover. Other times, it’s effectively incidental, and the devi…
NOTE: New Ways in Means
There aren’t many SAS programmers who haven’t used PROC MEANS (or its alter ego PROC SUMMARY) to aggregate (summarise) their data. PROC MEANS is a familiar tool for most SAS programmers, and the process of subsequently selecting specific values of _TYP…
Links for 2012-09-09 [del.icio.us]
Elektrobiblioteka
Amazing artifact-digital book.