SQL Saturday Attendee Distances

I have a long, long post on figuring out how far SQL Saturday attendees tend to drive:

Before I begin, allow me to perform the data science Airing of Grievances.  This is an important part of data analysis which most people gloss over, instead jumping right into the “clean up the dirty data” phase.  But no, let’s revel in its filth for just a few moments.

Despite my protestations and complaints, I think there are some reasonable conclusions.  If you need to look like you’re working for a couple of hours (or at least want to play around a bit with SQL and R), this is the post for you.

Related Posts

MAPE and Its Flaws

Jan Fischer takes us through Mean Absolute Percentage Error as a measure of forecast quality: Particular small actual values bias the MAPE.If any true values are very close to zero, the corresponding absolute percentage errors will be extremely high and therefore bias the informativity of the MAPE (Hyndman & Koehler 2006). The following graph clarifies this […]

Read More

Azure Data Share

James Serra takes us through a new product announcement: A brand new product by Microsoft called Azure Data Share was recently announced. It is in public preview. To explain the product in short, any data which resides in Azure storage can be securely shared between a data provider and a data consumer. It does this by […]

Read More

Categories

July 2016
MTWTFSS
« Jun Aug »
 123
45678910
11121314151617
18192021222324
25262728293031