Visualizations Showcase
Degree Classification by Graduate Ethnicity with Terminus
In this notebook we're going to use PlotAPI Terminus to visualise how degree classes vary by graduates' ethnicity. We"ll use Python, but PlotAPI can be used from any programming language.
Preamble
from plotapi import Terminus
import json
Introduction
In this notebook we're going to use PlotAPI Terminus to visualise how degree classes vary by graduates' ethnicity. We"ll use Python, but PlotAPI can be used from any programming language.
In the Terminus diagram (a type of flow diagram), we can watch the journey of something or someone from some starting category to some ending category. In this case, we'll be watching each unit travel from a graduate's ethnicity to their awarded degree classification.
Dataset
We're going to use data that has been published by the Higher Education Statistics Agency (HESA) in the UK. The data table is titled "UK domiciled first degree qualifiers by classification of first degree, religious belief, sex, age group, disability marker, ethnicity marker, mode of study and academic year" and it can be found at this link.
We will use data from all countries, all modes of study, and from the academic year 2019/20. "Other" and "Not known" have been combined.
The degree class is the result achieved by a student UK, similar to a Grade Point Average (GPA). You can find a mapping between UK degree classifications and GPA here
data = [
{"source": "White", "target": "First class", "value": 92260},
{"source": "White", "target": "Second class (upper)", "value": 114885},
{"source": "White", "target": "Second class (lower)", "value": 29325},
{"source": "White", "target": "Third class", "value": 4775},
{"source": "White", "target": "Unclassified", "value": 12585},
{"source": "Black", "target": "First class", "value": 4340},
{"source": "Black", "target": "Second class (upper)", "value": 10640},
{"source": "Black", "target": "Second class (lower)", "value": 6245},
{"source": "Black", "target": "Third class", "value": 1555},
{"source": "Black", "target": "Unclassified", "value": 750},
{"source": "Asian", "target": "First class", "value": 11515},
{"source": "Asian", "target": "Second class (upper)", "value": 17925},
{"source": "Asian", "target": "Second class (lower)", "value": 7080},
{"source": "Asian", "target": "Third class", "value": 1440},
{"source": "Asian", "target": "Unclassified", "value": 2710},
{"source": "Mixed", "target": "First class", "value": 4575},
{"source": "Mixed", "target": "Second class (upper)", "value": 6740},
{"source": "Mixed", "target": "Second class (lower)", "value": 2095},
{"source": "Mixed", "target": "Third class", "value": 355},
{"source": "Mixed", "target": "Unclassified", "value": 565},
{"source": "Other/NA", "target": "First class", "value": 1415 + 1370},
{"source": "Other/NA", "target": "Second class (upper)", "value": 2385 + 2350},
{"source": "Other/NA", "target": "Second class (lower)", "value": 1065 + 1380},
{"source": "Other/NA", "target": "Third class", "value": 190 + 985},
{"source": "Other/NA", "target": "Unclassified", "value": 290 + 635}
]
Visualisation
Let's use PlotAPI Terminus for this visualisation, you can see more examples in the Gallery.
We're going to adjust some layout and template parameters. We're setting percentage_by_source=True to see the degree class awarded as a percentage within ethnicity, i.e. each percentage column will sum to 100. We'll also set pixels_per_percentage=50 to control the length of the animation, making it shorter than the default of setting.
plot = Terminus(
data,
width=1000,
percentage_by_source=True,
pixels_per_percentage=50,
title="Watch graduate's collect their degree (by percentage within ethnicity)",
)
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="Degree Classification By Graduate Ethnicity",
description="""We're going to use PlotAPI Terminus to visualise how degree classes vary by graduates' ethnicity. We're going to use data that has been published by the Higher Education Statistics Agency (HESA) in the UK. The data table is titled "UK domiciled first degree qualifiers by classification of first degree, religious belief, sex, age group, disability marker, ethnicity marker, mode of study and academic year".""",
public=True,
)