These times represent times between gondolas at Sterling Winery. The main take-away: there are 7 cars, as evidenced by the somewhat regular increases in splits between every 7 cars. The reason the times are slightly non-constant is that the gondolas come off the tracks, so times will change a little between each period.
obs_number - The observation number, e.g. observation 3 was immediately preceded by observation 2.
time_until_next - Time until this gondola car arrived since the last car had left.
Important context: there was a sufficient line that people were leaving the winery. So why is this data valuable? It indicates that the winery should add one more car since it has a lot of time wasted every 7th car. By adding another car, fewer visitors are likely to be turned away, resulting in increased revenue.
In-person data collection by David Diez (OpenIntro) on July 4th, 2013
Use the following R code to directly access this dataset in R.