@LisaHornung@fosstodon.org
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LisaHornung

@LisaHornung@fosstodon.org

Data Design Lead working in smart cities👩‍💻🏙 previously in UK charity data. Mostly talk about data, #dataviz, #opendata, #maps, #python and #data4good 📈 also into cycling, yoga, nature and baking 🚲🧘‍♀️🌿🥨

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LisaHornung, to cycling
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A visualisation of my cycle ride to work in London for #30DayChartChallenge Day22 - mobility (Bermondsey > Old Street).

Took me quite a few attempts to record the data. 😅 Also tried dogs, but there weren't any 😢

#Cycling #ActiveTravel #Urbanism

LisaHornung, to cycling
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Great to see an ever growing network of 20mph roads (green) in London making roads safer. 🤩

Speed is one of the single most important factor in whether a collision takes place and how severely people are injured.

Safer roads also promote #cycling. In the latest NTAS, 55% of people said that safer roads would encourage them to cycle more. Most of them (86%) consider lower speed limits an important aspect of safer roads. (Source: https://www.gov.uk/government/statistics/national-travel-attitudes-study-wave-5/national-travel-attitudes-study-wave-5#cycling)

#Sustainbility #ActiveTravel #NetZero

Maps displaying the road network of London coloured by speed limit between 2016 and 2023. 20mph roads are coloured in green and are expanding over time.

LisaHornung, to python
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Did you know that you can create stunning tables in Python? 🔢 📊

I used data on Highest Paid Athletes to explore Plottable - an awesome library to customise tables. Really like the inbuilt graph options and how easy it is to display images. 🤩

🔗 Full code behind this graph: https://github.com/Lisa-Ho/small-data-projects?tab=readme-ov-file#012024-highest-paid-athletes
🔗 Official docs with great examples: https://plottable.readthedocs.io/en/latest/

LisaHornung, to random
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My highlight of the week: Our plumber complimented my hotfix for a water leak saying it's "genius" - I used strings to divert dripping water from a pipe to a container. Not sure it's genius but made my day 😅

#lifehack #ThursdayVibes

LisaHornung, to maps
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After weeks of making for the 30DayMapChallenge, it's time for some again.

Looked at what words C-3PO uses most often together (bigram analysis) and visualised them in a network graph (thicker line=more co-occurences). "Oh dear" 😃

Based on Star Wars scripts for episodes 1-6. Made with using , , and .

🔗 Code: https://github.com/Lisa-Ho/small-data-projects/blob/main/2023/2312-starwars-what-XY-says/starwars-what-XY-says.ipynb

LisaHornung, to python
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Day29 – Population (and Dot)

Change in population of London 1990-2020 per 1skm. Growth almost everywhere but largest in East London. Unsurprising considering new developments around Stratford (ie. Olympics) and other areas in East since then.

Made in , inspired by Jacques Bertin
🔗https://github.com/Lisa-Ho/30-day-map-challenge/blob/main/2023/Day29-population/population.ipynb

LisaHornung, to Figma
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Found out about this great little tool yesterday.

Perfect Freehand lets you draw smoth, good looking shapes and lines. 🤩 〰️ You can export them to SVG and there is even a #Figma Plugin and #python library!
🔗https://www.perfectfreehand.com/

Made by Steve Ruiz via @puntofisso weekly newsletter

#design #OpenSource #WebDesign #UI

LisaHornung, to maps
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#30DayMapChallenge Day15 – OpenStreetMap

A quick one today using Figuregrounder, a great tool made by @hanshack using #OpenStreetMap data. Find location > Create poster > Download. Check it out here: https://hanshack.com/figuregrounder/

Cant wait for my first visit to Valencia in a few weeks! 🤩

#GIS #Maps #DataViz #OSM

LisaHornung, to python
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Day14 – Europe.

Forest area per country. 🌳🌲Was surprised to see such a low number in Iceland, apparently it was 40% before the Vikings arrived 😯 More here https://www.iceland.org/geography/forest/

Made with
🔗 https://github.com/Lisa-Ho/30-day-map-challenge/blob/main/2023/Day14-forest-landuse-europe/forest-landuse-europe.ipynb

LisaHornung, to london
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#30DayMapChallenge Day11 – Retro.

Most common Tube seat pattern (aka moquette) by borough (= largest number of stops on a line in a borough). Some lines share the same patterns.

Which one is your favourite?

After some more facts? 👇
https://londonist.com/london/transport/all-the-tube-moquette-patterns-bitchily-critiqued

#PublicTransport #London #TfL #Maps #GIS

LisaHornung, to python
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#30DayMapChallenge Day6 – Asia.

A shaded relief map of the Philippines, a nice follow up from my very first one of Japan I did last year 😅

Made in #python with matplotlib. Code includes link to a full tutorial from Adam Symington.
🔗 https://github.com/Lisa-Ho/30-day-map-challenge/blob/main/2023/Day6-islands-terrain/island-terrain.ipynb

#map #gis #datavis #3d

LisaHornung, to python
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Day 4 – a bad map

A bit of a silly one for today. London borough polygons visualised in a tile grid map of London boroughs.

Made with

🔗 https://github.com/Lisa-Ho/30-day-map-challenge/blob/main/2023/Day4-london-boroughs/london-boroughs.ipynb

Excel template for a tile grid map available in the London Datastore https://data.london.gov.uk/dataset/excel-mapping-template-for-london-boroughs-and-wards

LisaHornung, to python
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Day3 – Polygons

Pubs in London per square km. Higher density in the center obvs but also some hotspots outside.

Data from . Made with .

🔗 https://github.com/Lisa-Ho/30-day-map-challenge/blob/main/2023/Day3-london-pubs/london-pubs.ipynb

If you want to know how to make this kind of fishnet grid for any polygon, I’ve documented the process a little bit in this notebook: https://github.com/Lisa-Ho/30-day-map-challenge/blob/main/2022/Day12/london-gridmaps.ipynb

LisaHornung, to python
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#30DayMapChallenge Day2 – Lines.

Elevation map of the UK and Ireland.

Made with one of my most favourite #python libraries: ridge-map. Super easy to use. You can create stunning visuals with just a few lines of code. Checkout the documenation: https://pypi.org/project/ridge-map/

Code behind this map: https://github.com/Lisa-Ho/30-day-map-challenge/blob/main/2023/Day2-ridgelines/elevation-lines.ipynb

#gis #map #dataviz

LisaHornung, to python
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Having fun with polar charts in ... still exploring the data but planning to share more soon 🤓

breadandcircuses, to random

If you’re looking for great accounts to follow, here are some of my favorites! 👏

@petergleick
@LisaHornung
@504DR
@CelloMomOnCars
@MicrobialLife
@wayofthewitch
@kim_harding

#FollowFriday

LisaHornung,
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@breadandcircuses thank you ☺️🙏

LisaHornung, to opensource
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Wanted to explore elevation data in Yorkshire after a recent visit to Todmorden and hiking along the Pennine Way. Followed this great tutorial https://www.geodose.com/2020/02/how-to-make-beautiful-hillshading-map-qgis.html?m=1 and had a lot of fun playing around with colour palettes, hillshade stylings and contour lines 🤩

Always amazed by what you can do with #QGIS. it's completely free and has a ton of plugins to create almost any map you can imagine.

#opensource #maps #gis

LisaHornung, to python
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Dessert - Ice cream parlours of Italy 🍨 🇮🇹

The most common shop name is simply “Gelateria” and about 1/3 of shops include “Gelateria” as part of their name.

Data from , made in + – full code here https://github.com/Lisa-Ho/small-data-projects#072023-gelaterias-of-italy

LisaHornung,
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@AAMfP yeah, I was wondering the same. Either not all ice cream shops are tagged as such on #OpenStreetMap or it's linked to population density somewhat?

LisaHornung,
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@mannivu @aran @AAMfP good shout! Will give that a try 🙏

LisaHornung, to python
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Trees of London for this week's #MapPromptMonday - Plants 🍃

Shows total trees maintained by Local Authorities and main type per 4sqkm. London's urban forest provides an important ecosystem and plays a major role in improving air pollution and temperature reduction. If you want to find out more, checkout the London tree report https://www.london.gov.uk/programmes-and-strategies/environment-and-climate-change/environment-publications/valuing-londons-urban-forest

Made with #python matplotlib

Code https://github.com/Lisa-Ho/small-data-projects/blob/main/2023/2306-trees-london/trees-london.ipynb

#maps #dataviz #environment

LisaHornung, to programming
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#NoMowMay prompted me to look into artificial grass & how it's promoted. According to 25 websites selling artificial grass, it's low-maintenance, family friendly & looks great. Some even say it's environmentally friendly because it saves water.

While convenient, artificial lawns actually damage the environment & take away the natural habitat from many species. Not sure #NoMowMay will fix it, but maybe create some awareness.

#DataViz made in #python - code on Github https://github.com/Lisa-Ho/small-data-projects/blob/main/README.md#042023-artificial-grass

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