My colleague Boris Gorelik continues to deliver the insights of a data science sage. You should study carefully his recent EuroSciPy 2018 talk “Data visualization: from default to efficient”
Then check out his notes on how to continuously improve a talk.
Heading back from New York City last weekend I was amazed to see an updated station stop display (graph) on the E train to JFK. I don’t have a video, but you can see the how it updates the destinations (I didn’t notice eta) below — a list of next stops shifts to the right:
But wait, something is off!
My colleague Boris Gorelik had posted a piece entitled How to make a graph less readable? Rotate the text labels arguing that rotation of the axis labels imposes a processing cost on the reader. Keep the text aligned. Wouldn’t moving the destination labels up and down as Boris suggests save the jostled E train rider precious milliseconds?
If you’re in sales, it pays to call (and email, and chat) early and often. This intuitive insight comes from a recent study, “Research on 200 Million Sales Interactions Cracks the Code on Cadences” published by Atlanta startup SalesLoft. This data was shared with me by Butler Raines, SalesLoft’s Head of Product — a dear friend, beautiful human being, and a new-school bitter southerner.
I found the piece illuminating, not only for the nicely presented graphs of customer/sales interactions, but also for the exposition on sales terminology (I learned what a cadence is).
Does SalesLoft have other insights they’d like to share? Many data scientists would like to know!
