Sam

@sammybungus.bsky.social

Painting and doodling. Data visualisation. Animal peeper. “Cat behaviour and welfare expert”. Snacks n treats. ⚠️ Stuff posted here does not represent any current or former employers.⚠️ I'm just noodling around with my personal opinion and interests!

Also! A great sadness of mine was that I didn’t stray across a newsagent the whole time I was in NYC. Nor was there one at JFK. I was hoping to find a physical copy of @theonion.com in the wild :( I don’t even know if it would be in a store. A girl can dream.

Sam@sammybungus.bsky.social · 2mo ago

This very much feels like the same author who wrote “Give Me Kiss” 10 years ago. What a plot twist, I think it was a horse who slithered out of the pipes for a kiss. clickhole.com/give-me-kiss...

Day 15 of #30dayChartChallenge, correlation. Getting real stupid with it. It actually took me ages to find a source of data that would even mildly correlate. Spurious correlations are hard! Colleague: "I don't know what to say". Me: "Get me The Economist on the phone"?

A very stupid chart, which suggests that the number of Mr Blobby TV appearances moderately correlates with CPIH, a UK measure of inflation.

Omg the hashtag is #30dayChartChallenge. I did mention I’m tired, right?! Have I been doing this wrong all along? I am the sleepiest little fool.

Sam@sammybungus.bsky.social · 4mo ago

Today’s #30daysOfCharts from me is extremely silly. Prompt: physical. Took this as my excuse to play with some physical geography data I’ve been noodling with. I AM planning to make 3d models of this stuff. But I’m pooped this evening! Bonus points for the cool kids who notice my Pokémon.

Today’s #30daysOfCharts from me is extremely silly. Prompt: physical. Took this as my excuse to play with some physical geography data I’ve been noodling with. I AM planning to make 3d models of this stuff. But I’m pooped this evening! Bonus points for the cool kids who notice my Pokémon.

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I've wondered how my old wages, adjusted for inflation, would compare to my current one. I've looked at my hourly wage through my working life, and used the Bank of England inflation calculator (CPI-based). That's what #30daysOfCharts #multiscale prompted in my head! Tools: D3.js, ONS templates.

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My #30daysofcharts effort today is pretty awful, to be honest. But I've always wanted to make a hex map. Please don't read anything into this chart other than the noted locations do have a higher rate than other places. I'll do more (better!) charts with this data soon.

A hex map of England, that shows fly tipping incidents per capita were higher in some locations, notably a few London local authorities.

The charts here have inspired me! I need to make a checklist of 'cool birds and other critters to see in NYC' for an upcoming visit. Please tell me your favourite NYC birds and critters, and how I can improve my odds of witnessing them. #nyc #wildlife #birding #datavis

Nadieh Bremer@nadiehbremer.com · 6mo ago

📣 NEW! I’ve just released the BIGGEST and perhaps most creative project I’ve ever worked on! “Searching for Birds” searchingforbirds.visualcinnamon.com 🐤 A project, an article, an exploration that dives into the data that connects humans with birds, by looking at how we search for birds.

Thanks to @datawrapper.de, who's Weekly Chart I really enjoyed, I rabbit-holed and found "Chroma.js Color Palette Helper". This helped solve a problem that's been in the back of my head all week! Got myself a lovely cat gradient now. gka.github.io/palettes/#/9..., www.datawrapper.de/blog/solar-s...

Do we really know how many planets are in our solar system? | Datawrapper Blog

In this Weekly Chart, we rethink what we know about our planetary neighbors.

datawrapper.de

My initial map for #30DayMapChallenge Day 4 'My data' was one where I was sussing out which hotel to book in New York City. It was my first attempt at making 'my own thing' in QGIS. I scored a lot of attractions by how strongly I want to visit them, and then overlayed a shortlist of hotel locations.

A map of New York City, centred on Manhattan. A heatmap overlay shows the greatest density of 'desirable' attractions is around central park. Building symbols appear at the locations of a shortlist of hotels. One hotel is in the middle of the densest part of the heatmap.

I don't think ONS Geography are on this platform, so I'll quote their Twit and share something I made :) "#30DayMapChallenge Day 4: our take on the 'My Data' theme. This map shows the density of public green space in each Greater Manchester (the map maker's home!) local authority in 2020..." ..

A choropleth map of Greater Manchester Local Authorities, showing that the density of public green space is higher in Stockport and Tameside, lower in Rochdale and Manchester.

2/3 I wanted to highlight in particular this new waterfall chart (left) which illustrates the breakdown of how inflation changed from the previous month, replacing the bar chart (right) from previous publications.

New waterfall chart showing the components of change in inflation from November to December 2024Old bar chart showing the components of change in inflation from November to December 2024

#datavis people! Please can you share any waterfall charts you have enjoyed, or otherwise? Here's one of mine, where I was looking at how different components contributed to the month's change in CPI (Consumer Price Index). It seems to be a 'love it or hate it' chart! #dataviz

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Plot twist: The M&S hackers give up on extorting the nation's favourite store, and instead threaten to reveal which flavour & size of Big Knicker we all wear.

Sorting out my office and just found my first ever undergrad custom data visualisations! Who knew it would become my career all these years later?! These were the dark times of Matlab, prior to learning R 😅 I think this is also my first ever chart sketch. I knew NOTHING. #datavis #catbehaviour

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Last week, I was pleased to produce charts for an ONS release. I didn't get visualise this one piece of data, though: 20% of single-adult households with at least one child ran out of food in the previous two weeks. Contrasting with 2% for two+ adult households with at least one child. #datavis

A chart with 100 adult icons, with an infant next to each. 20 of the icons are coloured Red, to represent the 20% of households who reported running out of food in the two weeks leading up to the survey. The chart text reads 'In the past two weeks, 20% of households with one adult and at least one dependent child, ran out of food'. The source is the ONS Public Opinions and Social Trends report (March 2025).