Class 3 in-class exercise solution

# boilerplate for allowing PDF export
import plotly.io as pio

pio.renderers.default = "notebook+pdf"

Step 0

import pandas as pd

requests_by_cd = pd.read_csv(
    "https://storage.googleapis.com/python-public-policy/data/311_community_districts.csv.zip"
)
requests_by_cd.head()

	borocd	Borough	CD Name	2010 Population	count_of_311_requests	request_per_capita
0	112	Manhattan	Washington Heights, Inwood	190020	81403	0.428392
1	405	Queens	Ridgewood, Glendale, Maspeth	169190	71506	0.422637
2	412	Queens	Jamaica, St. Albans, Hollis	225919	70362	0.311448
3	301	Brooklyn	Williamsburg, Greenpoint	173083	68104	0.393476
4	303	Brooklyn	Bedford Stuyvesant	152985	66360	0.433768

Step 1

import plotly.express as px

fig = px.histogram(
    requests_by_cd,
    x="request_per_capita",
    title="Number of Community Districts with different volumes of requests per capita",
)
fig.show()