Lisa Hornung
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lisahornung.bsky.social
Lisa Hornung
@lisahornung.bsky.social
1.4K followers 480 following 86 posts
Data Visualisation Manager at a health think tank 👩‍💻 Mostly talk about data, #dataviz, #opendata, #maps, #python and #data4good 📈 Into cycling, yoga, sourdough, puns and more. Views my own.

Also active on Mastodon + Linkedin
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lisahornung.bsky.social
Minimal map of central London underground network for #30DayMapChallenge Day11 (also includes some overground stations).

Made in Figma, based on London Tube Map 2025 www.londontubemap.org/maps/London-...

#dataviz
Minimal map of underground network in London zone 1. Tube lines are represented by simple black lines, a blue line indicates the location of the River Thames. Each station in zone 1 is labelled
November 12, 2025 at 9:50 AM
lisahornung.bsky.social
This year I joined @healthfoundation.bsky.social as their first Data Visualisation Manager. As part of a 6-month discovery phase, I audited 244 charts📊we published to better understand what we were doing.

Read how it has improved our #dataviz in my behind-the-scenes blog medium.com/healthfdn-da...
Image gallery of example charts that were part of the audit
November 10, 2025 at 12:08 PM
lisahornung.bsky.social
#30DayMapChallenge Day3 Polygons – Google search interest in 🐱cat vs 🐶dog.

Map shows if search volumes are higher for cat (blue), dog (red) or same (grey). Light colours mean low search volumes. Data from Google Trends, Oct 2024-Oct 2025.

Made in #python + Figma, code github.com/Lisa-Ho/30-d...
Cat or dog? Google search topic search volumes. Choropleth world map with each country being coloured in blue (if cat) or red (if dog) is more popular. Most of Europe, US and South America is more interested in dogs while Russia, soe countries in the Middle East, North Africa, and Southeast Asia have higher search volumes for cats
November 9, 2025 at 12:43 PM
lisahornung.bsky.social
Python version made with geopandas and matplotlib, code here: github.com/Lisa-Ho/30-d...
Map of the UK with dot markers showing locations of birthplaces for prime ministers in the UK. Each dot is coloured by the party they belonged to – blue for conservative, red for labour and yellow for liberal democracts. Prime ministers born in the north tend to be more diverse – labour/liberal leaning whereas conservative PMs tend to be from the southeast / centre. A smaller map shows those born outside the UK (Boris in New York, Bonar Law in Rexton Canada)
November 7, 2025 at 11:35 AM
lisahornung.bsky.social
#30DayMapChallenge Day1 Points – slow start this year with a remake. Birthplaces of UK prime ministers (did you know Boris was born in New York?)

This was the first python map in 2022, now my first one in #Svelte + maplibre. Interactive version here 30-day-map-challenge-2025.netlify.app//day1
Map of the UK with dot markers showing locations of birthplaces for prime ministers in the UK. Each dot is coloured by the party they belonged to – blue for conservative, red for labour and yellow for liberal democracts. Prime ministers born in the north tend to be more diverse – labour/liberal leaning whereas conservative PMs tend to be from the southeast / centre
November 7, 2025 at 11:35 AM
lisahornung.bsky.social
Just launched Lazy Cats, a visual exploration of cat behaviour. Meet Lily + 27 other cats and find out what they do all day (spoiler: they mostly chill) 🐱🐾 Does your cat fit their profile?

Very proud to share my first interactive #dataviz project built with Svelte + D3! 📊

lazy-cats.netlify.app
October 22, 2025 at 7:46 AM
lisahornung.bsky.social
What if all munros (mountains in Scotland > 3000ft or 914.4m) were on a single munro? 🗻

Fun visual experiment for #TidyTuesday / #PydyTuesday using python, pandas, matplotlib, pyfonts. Thanks to @nrennie.bsky.social for collating the dataset 🙏

Code github.com/Lisa-Ho/smal...
Scottish munros on a single munro. All 281 active munros in Scotland places on circular elevation lines around the highest one (Ben Nevis). They are depicted by triangle markers and coloured by their estimated (true) distance to Ben Nevis.
August 22, 2025 at 7:33 AM
lisahornung.bsky.social
Had a lot of fun coming up with a title for my #Quarto demo I presented at our internal learning sessions aka R-Cafes 😆

So here you go ... Quarto Macchiato ☕🥛 #Python #Rstats
Screenshot of the title slide of a presentation called: Quarto Macchiato - layering R, Python + Javascript like a Pro. It also shows an image of a Latte Macchiato with visible layers of milk, coffee and milk foam.
July 31, 2025 at 1:58 PM
lisahornung.bsky.social
This made me laugh! #UX in the wild. (Coffee machine at my local IKEA store) 😅
Image of a coffee machine touchscreen that has a bright circle below the touchpad and a arrow pointing at the circle saying "This is not a button"
July 14, 2025 at 8:52 AM
lisahornung.bsky.social
People in some areas of England and Wales are almost twice as likely to die before 75 (premature mortality).

Out latest analysis shows rates are highest in the North East, the North West and Yorkshire and the Humber, and lowest in London (> Richmond)

Learn more www.health.org.uk/reports-and-...
Dot plot of premature mortality rates (deaths per 100,00o people) by local authority and region in England and Wales. Each circle is sized by the number of people aged 18-74. North East, Yorkshire and Humber, and North West have some of the highest premature mortality rates.
July 10, 2025 at 9:15 AM
lisahornung.bsky.social
Had some fun plotting colors in 3D for #TidyTuesday #PydyTuesday

The top 100 color names in the 2010 xkcd color name survey by hue, lightness and saturation. Interactive chart made with python + plotly + quarto inside-numbers.quarto.pub/top-100-colo...

Code: github.com/Lisa-Ho/smal...
3D scatter plot mapping the top 100 color names in the xkcd color name survey by hue, saturation and lightness. each circle is also coloured in the equivalent hex code and sized by the rank.
July 9, 2025 at 10:18 AM
lisahornung.bsky.social
Strong start, slow growth: While recent nursing grads have high starting salaries and strong employment rates, they have lower earnings growth potential.

Their peers five years ahead only earn 11% more, compared to 50% for medical science or 72% for economics grads. 5/
Scatter plot showing employment rate and earnings growth potential 1 year after graduation by subject, 2021/22. Health graduates tend to have higher employment rates but lower earning growth potential. Source: DfE LEO graduate and postgraduate outcomes, 2021/22. Earnings growth potential is calculated as % difference in earnings between students 1 year after graduation vs students 5 years after graduation in 2021/22.
May 19, 2025 at 11:50 AM
lisahornung.bsky.social
There is also concern about a slowdown in applications for NHS professions. But despite the decline in real earnings, most #NHS graduates start with comparatively high earnings.

One year after graduating, doctors and nursing professionals earn above the average for other grads. 4/
Dumbell plot/connected dot plot showing median earnings by 1 year, 3 year and 5 year after graduation by subject group in 2021/22 (£k). Health graduates have some of the highest starting salaries (£29k 1 year after graduation) but this earning advantage erodes over time (£36k 5 years after graduation). Source: DfE LEO graduate and postgraduate outcomes, 2021/22. Note subject group stats are weighted by student numbers.
May 19, 2025 at 11:50 AM
lisahornung.bsky.social
Despite concerns that pay could hurt recruitment & retention, #NHS staffing surged between 2019–24.

+23% clinical staff
+18% consultants
+24% nurses & health visitors

Growth outpaced previous years, partly due to international recruitment, ~90% of new nurses (2019–23) came from abroad. 3/
Bar chart showing the total percentage change in FTE NHS staff numbers by group and 5-year period. Clinical staff numbers have increased faster in the past 5 years (23%) than in the previous decade (3%-8%). Source: NHS hospital and community health service staff monthly workforce statistics Nov 2024. Notes: Percentage change calculated between November each year
May 19, 2025 at 11:50 AM
lisahornung.bsky.social
In 2024, the Labour govt agreed to a 5.5% increase for Agenda for Change staff & 6% for doctors, resident docs got an additional £1K.

📉 Despite these gains, #NHS wages remain up to 11% lower than in 2010 after inflation and lag behind the private and public sector as a whole. 2/
Bar chart showing the change in real-term earnings since 2010 after adjusting for inflation in 2024. Most NHS pay is lower in real terms in 2019 and remains behind the private (-1%) and public sector (-5%). Foundation doctors in year 2 and consultants have seen the biggest drop (-11%) while nurses and health visitors have seen their salaries fall by 8%. Source: NHS staff earnings estimates sep 2024, OBR's CPIH Mar 2025. Averages weighted by headcount.
May 19, 2025 at 11:50 AM
lisahornung.bsky.social
How much should #NHS staff be paid?

Only 32% of NHS staff are satisfied with their pay, a relatively consistent trend.

But what is the right rate for NHS jobs? How do you judge if people are over/underpaid?

A thread based on our latest analysis 📊👇 1/ www.health.org.uk/reports-and-...
Small multiple chart showing percentage of staff who are satisfied or very satisfied with their pay 2020 to 2024. Only a third (32%) of NHS staff are satisfied with their pay with medical and dental professionals the most content. Data source: NHS Staff survey national results 2024
May 19, 2025 at 11:50 AM
lisahornung.bsky.social
Nice! Reminded me of a map I created two years ago (maybe using the same data source but from 2017 🤔). Similar story > richer nations eat more meat (made in #python, code here if of interest github.com/Lisa-Ho/30-d...)
Choropleth world map. Each country is coloured by their GDP and Meat consumption using a bivariate colour scale. Title: Do richer nations eat more meat (yes they do). Meat consumption versus GDP per capita, 2017. Data from Our World in Data.
April 25, 2025 at 11:42 AM
lisahornung.bsky.social
#30DayChartChallenge Day 25 – Risk 📊

Rates of poor mental health are on the rise – especially among young people, raising concerns about long-term impacts on their health and employment prospects.

More in our Commission for Healthier Working Lives analysis 👇
www.health.org.uk/reports-and-...
Line chart titled "Rates of poor mental health are on the rise, especially among young adults" shows trends from 2008–2023 in the UK and England. Data from four sources—Labour Force Survey, Health Records, Health Survey for England, and Understanding Society—track reported mental health conditions by age group. Across all panels, the 16–34 (or 20–34) age group (in red) shows the steepest rise in mental health issues, increasing from around 3–6% in 2008 to over 13–15% in 2023. Older age groups (35–64) show smaller increases, displayed in grey. Data Sources: ONS Labour Force Survey (2023), Clinical Practice Research Datalink (CPRD), NHS Digital Health Survey for England (2023), and University of Essex’s Understanding Society (2010–2022). Chart by The Health Foundation
April 25, 2025 at 9:12 AM
lisahornung.bsky.social
It's Earth Day and Google's landing page reminded of this awesome little tool where you can write your name in beautiful satellite images 🤩

🔗 Your name in Landsat: landsat.gsfc.nasa.gov/apps/YourNam...

Happy Earth Day! 🌍 Let's take care of it! 💚
A collection of four satellite images showing shapes that can be interpreted as letters and read "Lisa"
April 22, 2025 at 2:09 PM
lisahornung.bsky.social
#30DayChartChallenge Day 9 – Diverging 🔀⏳

People in England’s least and most deprived areas are similarly likely to survive to younger ages. But men living in the least deprived areas are 3x more likely to reach 90. Data from ONS, made in Flourish.

Read more: www.health.org.uk/evidence-hub...
Bar chart showing the relative difference in the proportion of population surviving to a given age between the highest and lowest deprivation deciles in England for men and women. Men in the least deprived areas are three times more likely to reach the age of 90 than those in the most deprived. There is a similar trend for women but the gap is not as pronounced
April 14, 2025 at 8:53 AM
lisahornung.bsky.social
#30DayChartChallenge Day11 Stripes – Mentions of ‘butt’ and ‘fart’ in Bob’s Burgers episodes.🍔📊

Butt(s) are mentioned more than 550 times, but Tina’s love for butts can’t top Gene’s fart song.

Made in 100% python, using many of Joseph Barbier's amazing libraries! Code: github.com/Lisa-Ho/smal...
A heatmap visualising the number of times ‘Fart(s/ed/ing)’ and ‘Butt(s)’ are mentioned in Bob’s Burgers episodes. Farts are mentioned a total of 309 times and peak in Season 4 Episode 12 (31x). Butts are mentioned a total of 553 times and peak in Season 11 Episode 2 (27x)
April 12, 2025 at 6:50 PM
lisahornung.bsky.social
#30DayChartChallenge Day 5 – Ranking. 1️⃣📊

The NHS is the UK public’s top priority for extra public spending with strongest support from people intending to vote Labour. Data from Ipsos, made in Flourish.

Read more about public perceptions of health and care www.health.org.uk/reports-and-...
Multiple bar chart showing the top priority areas for the UK public to receive more public spending. Overall, the NHS/health care is the top priority for the UK public to receive more money from the government. 65% of respondents think so, followed by social care for older people and housing. There is strongest support from Labour voters. Immigration and border control is the top priority for Reform UK voters (54%) but the NHS is a close second (50%)
April 10, 2025 at 4:40 PM
lisahornung.bsky.social
#30DayChartChallenge Day3 – Circular. Total cat and dog rescues by the London fire brigade. 📊🐈🐶🚒

Used the day to test out Observable Plot and #Python in #Quarto. Code github.com/Lisa-Ho/smal...

Shoutout to @nrennie.bsky.social great blog, so I finally gave it a go nrennie.rbind.io/blog/observa...
Two radar charts showing the total number of rescue incidents for cats and dogs. Each radar chart shows the total incidents attended by the London fire brigade per month between 2009 and 2024. Cats have much higher number of rescue incidents over the summer months. Data from London Datastore
April 6, 2025 at 6:18 PM
lisahornung.bsky.social
#30DayChartChallenge Day2 Slope – Google search interest in “How to remove Meta AI from Whatsapp”.

As Meta AI’s chatbot is rolled out across Europe, many users are wondering how they can turn it off --> you cant, upsetting quite a few users www.huffingtonpost.co.uk/entry/whatsa...

Made in Figma
Multiple line chart showing relative google search interest in the term ‘How to remove Meta AI from Whatsapp’ for UK, Germany and France. In all countries the search term peaked in the last two weeks
April 4, 2025 at 10:58 AM
lisahornung.bsky.social
#30DayChartChallenge Day1 Fractions - animal rescue incidents attended by the London fire brigade.

5 of 10 animals rescued are cats, but some interesting differences between selected boroughs (🐦birds in Westminster, 🐴horses in Bexley, ..).

Made in #python, full code github.com/Lisa-Ho/smal...
"5 of 10 animals rescued by the London Fire Brigade are cats" This chart visualizes animal rescue incidents by the London Fire Brigade across different boroughs from January 2009 to January 2025. It highlights that cats make up the majority of rescues, followed by dogs, birds, and other rare animals like horses and foxes. Each borough's data is represented using icon showing data for Enfield, Westminster, Bexley, and Hammersmith & Fulham. Data source: London Datastore Design: Lisa Hornung
April 1, 2025 at 11:15 AM