In 2016 my roommates and I decided it would be a good idea to count how many pizzas we ate over the course of a year.
A tally was kept on our chalkboard wall in the kitchen recording how many pizzas we ate and where they came from.
We did an excellent job collecting data eating pizza and I’m proud of us.
In total we ate 127 pizzas.
That's a pizza every 2.87 days.
We didn’t really bother tracking the size of pizza, date, or toppings, which all would have been great but also is a lot of effort when you can just draw a line on the wall and eat pizza. It’s probably for the best that we missed our target of 150 pizzas.
Here is a simple interactive chart of the pizza data made using Bokeh’s python library. The code is below if you want to take a look at it.
Most of them came from our favourite establishment, Domino’s, and the rest came from other places or were made in-house. The chart below shows the order we ate our pizzas in. Definitely had at least one or two Domino’s pizza parties.
Here is the python code for the Bokeh chart:
from bokeh.charts import Bar, output_file, show
from bokeh.layouts import row
data = {
'pizza': ["Domino's","Other","Homemade"],
'quantity': [67,38,22]
}
tooltips=[
('Pizza', '@pizza'),
('Count', '@height'),
]
bar = Bar(data, values='quantity', label='pizza', title="Pizza Counts",
legend='top_right', color='pizza',plot_width=400, plot_height=400,
tools='', tooltips=tooltips)
# styling the bar chart
bar.xaxis.axis_label = ''
bar.yaxis.axis_label = ''
bar.xaxis.major_tick_line_color = None
bar.yaxis.minor_tick_line_color = None
output_file("pizza_bar.html")
show(row(bar))
