US Mortality Race and Manner of Death

In this notebook we're going to use PlotAPI Chord to visualise the co-occurrences between race and manner of death in the US throughout 2015. We"ll use Python, but PlotAPI can be used from any programming language.

Preamble

import json

from plotapi import Chord

Introduction

Dataset

Let"s get loading the data.

with open("us-mortality.json", "r") as f:
    data = json.load(f)

Visualisation

Let's use PlotAPI Chord for this visualisation.

plot = Chord(
    data["matrix"],
    data["names"],
    colors=data["colors"],
    wrap_labels=False,
    bipartite=True,
    noun="percent",
    bipartite_idx=data["bipartite_idx"],
    bipartite_size=.2,
    width=700
)

Display inline

plot

PlotAPI - Chord Diagram

Upload to cloud

With our plot created, let's upload it to PlotAPI cloud and get a shareable link.

# plot.upload(
#     name="US Mortality Race and Manner of Death",
#     description='''In this notebook we're going to use PlotAPI Chord to visualise the co-occurrences between race and manner of death in the US throughout 2015. We"ll use Python, but PlotAPI can be used from any programming language.''',
#     maximized=True,
#     public=True,
# )