Sunburst Plots

Sunburst plots, also known as ring charts, can be used to visualise hierarchical data as concentric spiral shapes, and can be generated using the fig_sunburst() function.

The plot above was generated using a synthetic dataset of patient enrolment at clinical sites filtered by country. Click the image to view the full interactive and fully annotated Plotly figure that you will be able to see when you generate it. Here is the synthetic dataset below as a table (which can easily be converted to a CSV).

Synthetic dataset for patient enrolment at clinical sites filtered by country

Site	Country	Subject Id
0	COL	21
2	COL	25
3	GBR	199
5	CAN	31
6	BRA	156
7	BRA	27
8	BRA	8
9	FRA	174
10	POL	89
11	POL	30
13	RWA	121
14	KEN	1
15	KEN	15
16	KEN	1
18	NLD	102

Here are the Python steps you need to generate the plot above using the fig_sunburst() function:

import pandas as pd
from isaricanalytics.visualisation import fig_sunburst
# Load the CSV data from a string buffer
data = pd.read_csv(io.StringIO(
    """Site,Country,SubjectID\n
       0,COL,21\n2,COL,25\n
       3,GBR,199\n
       5,CAN,31\n
       6,BRA,156\n
       7,BRA,27\n
       8,BRA,8\n
       9,FRA,174\n
       10,POL,89\n
       11,POL,30\n
       13,RWA,121\n
       14,KEN,1\n
       15,KEN,15\n
       16,KEN,1\n
       18,NLD,102\n"""
))
# Create and display the figure
fig = fig_sunburst(
    data,
    title="Patient Enrolment by Site",
    path=["Country", "Site"],
    values="SubjectID"
)
fig.show()

You should see the plot appearing as given above.