Ok, I’m a few months behind on this one, but I saw this post by Adam Kuban on Serious Eats for a Shake Shack iPhone App and I had to mention it. There have been many times that I wanted to check the Shake Shack line but didn’t have Flash on my iPhone. The app has a lot of great features, but Adam covered them in his post, I just wanted to share my joy in discovering that I can now check the live feed from my phone and then decide to meander into line.
There are a few different ways to tip, check (only one person did this), credit card at the door, pre-tipping with a credit card and cash. As seen in these boxplots, cash tippers were the highest, on average. Pre-tippers, who really are just tipping based on feeling, not performance, have the greatest variability. There was even someone who only pre-tipped a dollar. Pre-tipping a large amount might be a good idea–kind of like greasing a palm at a restaurant to get a table–but I don’t see how a small pre-tip is a good idea.
I wonder why people give bigger tips with cash than with credit cards. I would have thought it would be the other way around.
This is just the beginning. Pizza Girl is providing more data as the weeks go on. And as I get more data the analysis will become more sophisticated, so stay tuned as we unravel the world of pizza delivery. In the mean time, check out Pizza Girl’s third installment of her findings on Slice.
The other day, I was working near Houston street, teaching a class on QlikView (which itself could be a great post topic about data munging for statisticians). On the last day of the class we decided to head to Bleecker street for a pizza feast.
Pizza Girl, a pizza delivery girl who is a regular contributor on Slice, tallied up and analyzed the time she spends on various duties in her pizzeria. This is just the first part in a series, but so far she determined that she spends 67% of her shift driving.
According to her pay schedule, she makes less money while driving ($4.95/hr) than she does while in the pizzeria ($7.50). Continue reading
This Thursday, April 8th, I’ll be giving two brief talks (5 to 10 minutes) about statistical methods at the New York R User Meetup. The first will be applying multilevel models to World Health Organization data to study noncommunicable diseases. The second, and probably more fun, will be a presentation of my pizza paper (pdf) that was featured on Slice.
I don’t mean to shamelessly self-promote here, but I wanted to note that the Slice story on my pizza paper (pdf) has also been picked up by NBC New York’s food blog, Feast, and by Revolution Computing’s blog. For people who don’t know, Revolution Computing optimizes R, the language used by a large number of statisticians for computations.
A lot of people have been asking for my favorite pizza places. The answer depends on what type of pizza I’m looking for, but Maffei’s grandma slice and and Keste are two places that pop into my head a lot.
Someone at the ML forum asked about New York Pizza Suprema, and yes, I love their upside down slice.