# Create a dataset of Prussian Horsekick data data.
# This data presents the number of horsekick deaths per year in each corps
df = pd.DataFrame({
"guard_corps": [0,2,2,1,0,0,1,1,0,3,0,2,1,0,0,1,0,1,0,1],
"corps_1": [0,0,0,2,0,3,0,2,0,0,0,1,1,1,0,2,0,3,1,0],
"corps_2": [0,0,0,2,0,2,0,0,1,1,0,0,2,1,1,0,0,2,0,0],
"corps_3": [0,0,0,1,1,1,2,0,2,0,0,0,1,0,1,2,1,0,0,0],
"corps_4": [0,1,0,1,1,1,1,0,0,0,0,1,0,0,0,0,1,1,0,0],
"corps_5": [0,0,0,0,2,1,0,0,1,0,0,1,0,1,1,1,1,1,1,0],
"corps_6": [0,0,1,0,2,0,0,1,2,0,1,1,3,1,1,1,0,3,0,0],
"corps_7": [1,0,1,0,0,0,1,0,1,1,0,0,2,0,0,2,1,0,2,0],
"corps_8": [1,0,0,0,1,0,0,1,0,0,0,0,1,0,0,0,1,1,0,1],
"corps_9": [0,0,0,0,0,2,1,1,1,0,2,1,1,0,1,2,0,1,0,0],
"corps_10": [0,0,1,1,0,1,0,2,0,2,0,0,0,0,2,1,3,0,1,1],
"corps_11": [0,0,0,0,2,4,0,1,3,0,1,1,1,1,2,1,3,1,3,1],
"corps_14": [ 1,1,2,1,1,3,0,4,0,1,0,3,2,1,0,2,1,1,0,0],
"corps_15": [0,1,0,0,0,0,0,1,0,1,1,0,0,0,2,2,0,0,0,0]
})