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

A visualisation of my cycle ride to work in London for Day22 - mobility (Bermondsey > Old Street).

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

LisaHornung, to cycling

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 . 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)

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

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

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 😅

LisaHornung, to maps

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

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

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

Day15 – OpenStreetMap

A quick one today using Figuregrounder, a great tool made by @hanshack using 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! 🤩

LisaHornung, to python

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

#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

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 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

LisaHornung, to python

#30DayMapChallenge 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 #python #matplotlib

🔗 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

#map #dataviz #gis

LisaHornung, to python

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

Day2 – Lines.

Elevation map of the UK and Ireland.

Made with one of my most favourite 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

LisaHornung, to python

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

#dataviz #creativecoding

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

LisaHornung,

@breadandcircuses thank you ☺️🙏

LisaHornung, to opensource

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 . it's completely free and has a ton of plugins to create almost any map you can imagine.

LisaHornung, to python

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,

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

LisaHornung,

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

LisaHornung, to python

Trees of London for this week's - 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 matplotlib

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

LisaHornung, to programming

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 will fix it, but maybe create some awareness.

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

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