CDC Wonder

a.md

homicide Asian NYS deaths: https://wonder.cdc.gov/controller/saved/D76/D291F899

motor vehicle Asian NYS deaths: https://wonder.cdc.gov/controller/saved/D76/D291F900

suicide Asian NYS deaths: https://wonder.cdc.gov/controller/saved/D76/D291F901

plt.py

import pylab as plt

plt.style.use('ggplot')
plt.ion()
import pandas as pd

df = pd.read_csv("wonder.tsv", sep="\t", index_col=0)

ret = (df[["homicide", "motor", "suicide"]].div(df.total, axis=0) *
       100e3).plot(grid=True, marker='.')
plt.title('New York State, Asian deaths per 100,000')
ret.lines[1].set_linestyle("--")
ret.lines[2].set_linestyle("-.")
ret.lines[2].set_marker("x")
plt.legend()

ret2 = (df[["motor", "suicide"]].div(df.homicide, axis=0)).plot(grid=True,
                                                                marker='.')
ret2.lines[1].set_linestyle("--")
ret2.lines[1].set_marker("x")
ret2.lines[0].set_label('motor vechiles per homicide')
ret2.lines[1].set_label('suicide per homicide')
plt.legend()
plt.title('New York State, Asian, deaths per homicide (CDC)')
plt.axhline(y=1, color='k', linestyle='-')

wonder.tsv