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#30DayChartChallenge Day 10 | Pop Culture. Top 20 #books of 2025 by genre & publish date, according to Readers’ favourites on Goodreads. 📚📖
Most romance novels were published in spring/summer. Nonfiction books have the longest book titles and Fantasy books lead in terms of total pages.
Tried to make it look like a book shelf, not sure I suceeded 😅
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Fun #dataviz for the #30DayChartChallenge Day8 Circular 👽🛸 UFO sightings around the world reported to the National UFO Reporting Center between 1926 & 2013 (total >80,000).
Reports increased since the 1990s, maybe internet made reporting easier or more happening in space? (note: that last week with fewest dots is when the year has 53 weeks which doesnt happen a lot)
Data via #TidyTuesday
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Catching up #dataviz for #30dayChartChallenge Day5 Experimental. Which flower attracts which pollinator? 🌸🐝🦋
Played around with data from the UK Pollinator Monitoring Scheme. For bees or any pollinator plant some lavender, for butterflies go with buddleja aka butterfly bush.
Made in #Svelte + #D3. Still practicing, so progress is slow but learning lots!
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Almost two thirds of London is (potential) greenspace, including 24% of residential gardens! They can be an oasis for wildlife as seen in David Attenborough’s latest show Secret Garden. 🦔 🪶 🌱
I’m very fortunate to have access to one, about 21% of households don’t. But luckily London also has a ton of public parks to which access is more evenly distributed.
Catching up #dataviz for the #30DayChartChallenge Day3 Mosaic
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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?
🔗 https://lazy-cats.netlify.app/Very proud to share my first interactive #dataviz project built with #Svelte + #D3! 📊 It's been quite a learning curve coming from #python but found super helpful tutorials by Matthias Stahl and Connor Rothschild. Links in this repo https://github.com/Lisa-Ho/d3-playground.
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Number of gyms in London per 1,000 people for #MapPromptMonday Sports. Didn’t feel too inspired by the theme but always a good reason to dig into some new #OpenStreetMap data.
Guess there are more gyms in the center as some people use them in their lunch breaks? Numbers are notably higher in Kensington & Chelsea and Westminster.
Map made in #python using #matplotlib.
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#MapPromptMonday 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 #OpenStreetMap, made in #python + #matplotlib – full code here https://github.com/Lisa-Ho/small-data-projects#072023-gelaterias-of-italy
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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