Visualizations Showcase
Top Olympic Medal Earning Countries
In this notebook we're going to use PlotAPI Chord to visualise the co-occurrences between countries and medals earned in the olympic games. We"ll use Python, but PlotAPI can be used from any programming language.
Preamble
import json
from plotapi import Chord
Introduction
In this notebook we're going to use PlotAPI Chord to visualise the co-occurrences between countries and medals earned in the olympic games. We"ll use Python, but PlotAPI can be used from any programming language.
Dataset
We're going to use the 120 years of Olympic history dataset, a copy of which is available at this link. Let"s get loading the data.
with open("olympic_medals.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"],
curved_labels=False,
margin=40,
font_size_large=7,
noun="medals",
conjunction="awarded",
verb="",
details_separator="",
bipartite=True,
bipartite_idx=data["bipartite_idx"],
bipartite_size=0.2,
)
Display inline
plot
Upload to cloud
With our plot created, let's upload it to PlotAPI cloud and get a shareable link.
plot.upload(
name="Top Olympic Medal Earning Countries",
description='''In this notebook we're going to use PlotAPI Chord to visualise the co-occurrences between countries and medals earned in the olympic games. We"ll use Python, but PlotAPI can be used from any programming language.''',
public=True,
)