We are in the age of big data. But just because modern software makes it easy to handle large data volumes, it's worth asking: do you always need all that data? In other words, if your analytics software can accommodate and even thrive in this big data environment, does that mean
Tag: data preparation
Data visualization: first, prepare your data
"The hungry statistician" – or why we never can get enough data
As the “Year of Statistics” comes to a close, I write this blog in support of the many statisticians who carefully fulfil their analysis tasks day by day, and to defend what may appear to be demanding behavior when it comes to data requirements. How do statisticians get this reputation? Are we
Dear Ms. Value! I am missing you! - or the importance of missing values in analytics
Don’t worry! This is not an excerpt from a romantic love letter. The title of this blog post is an allusion to my talk on "Missing Values", at the A2013 conference in June in London. There is not much time for emotions: dealing with missing values in analysis is not