iiinova — where your digital self keeps evolving

Ana Olivia Jorge @kindsoul3.bsky.social · 16/06/2026

A dominates baby names in England & Wales in 2024 — for both boys and girls. Built with Plotly + Python for #TidyTuesday #PydyTuesday #DataViz 🐍

Two circular radial bar charts side by side showing the distribution of first letters of baby names in England and Wales in 2024. The left chart, in shades of blue, represents boys; the right chart, in shades of pink and purple, represents girls. Both charts show A as the tallest bar, followed by M, R and J for boys, and M, E and S for girls. Letters like Q, U and X have near-invisible bars. Background is beige, with a title reading 'First Letters of Baby Names in England & Wales (2024)' and a footer crediting GitHub user Hermes34-dev and the ONS via TidyTuesday

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Ana Olivia Jorge @kindsoul3.bsky.social · 10/06/2026

Brassicas can take 6x longer to harvest than legumes. That long yellow violin isn't a mistake — it's Brussels sprouts. #TidyTuesday #DataViz #Python #PydyTuesday

Violin plot showing the distribution of average days to harvest for four plant families. Legumes and Cucurbits cluster between 60 and 100 days with relatively low spread. Alliums sit between 80 and 120 days. Brassicas show the widest distribution, ranging from around 25 to nearly 190 days, with a long upper tail. Background is a warm off-white. Chart title reads "What's the plant ready to harvest first?"

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Ana Olivia Jorge @kindsoul3.bsky.social · 31/05/2026

Critics and audiences almost never agree on video game films. I made a chart about it. The most agreeable enjoyable movie was Sonic 3 (an opinion which I also support kkk) 🎮 #TidyTuesday #PydyTuesday

Bubble scatter plot on a dark background with neon colors titled "Critics vs Audiences — Video Game Films". X axis shows Rotten Tomatoes critic score from 0 to 100%, Y axis shows CinemaScore audience grades from F to A+. Each bubble represents a film, colored by publisher — Nintendo in red, Sega in yellow, Capcom in cyan, Warner Bros. in purple, Eidos in orange, Sony in green, others in grey. Bubble size represents worldwide box office gross. Most films cluster in the upper-left quadrant, indicating audiences rate them higher than critics. Sonic and Nintendo films dominate the top-right "everyone agrees" corner with the largest bubbles.

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Ana Olivia Jorge @kindsoul3.bsky.social · 25/05/2026

In 1970, only Spain gave fathers any parental leave. This is what 54 years of change looks like across 21 European countries. 🧵 #TidyTuesday #DataViz #PidyTuesday #Python

A heatmap showing weeks of co-parent leave across 21 European countries from 1970 to 2024. Countries are ordered top to bottom by when they first introduced co-parent leave, from Spain at the top to Slovakia at the bottom. Cells are coloured on a white-to-dark-pink scale representing zero to 28 weeks. The left half of the chart is mostly white, reflecting near-zero co-parent leave across Europe before the 1990s. Colour spreads progressively rightward and downward as more countries adopt and expand leave over time. Norway and Sweden show early and sustained colour. Slovakia stands out with the darkest cells from 2022 onward, reaching 28 weeks. Germany and Czechia remain white throughout the entire timeline.

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Ana Olivia Jorge @kindsoul3.bsky.social · 21/05/2026

Those who acknowledge their funding get cited more. I looked at 120M+ DOIs from @crossref.org across 170 countries. The funder metadata gap and the citation gap map almost perfectly onto each other. 🧵 #TidyTuesday #Python #DataViz #PydyTuesday

Scatter plot titled "Those who have funding get more citations." Each dot represents a country, sized by DOI volume and coloured by World Bank region. The x-axis shows the percentage of journal articles acknowledging a funder ID (0–20%), the y-axis shows citations received per DOI (0–25). North America and Europe cluster in the top right. Most of the Global South sits near zero on both axes. Sweden stands out as a high-citation, low-funder-rate outlier. A dashed trend line shows the overall log-linear relationship.

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Reposted by Ana Olivia Jorge

Georgios Karamanis @karaman.is · 14/05/2026

This week's #TidyTuesday is about twin cities. I built a scrollytelling map about Rio de Janeiro's 93 sister city agreements Made with Quarto and Closeread Interactive: 019e2679-54db-2e9a-2e03-8bbc8b92210f.share.connect.posit.cloud Code: github.com/gkaramanis/t... #RStats #dataviz

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Ana Olivia Jorge @kindsoul3.bsky.social · 10/05/2026

🗺️ TidyTuesday W19 & my first time playing with maps in Python! (I did some last minute editing on Canva tho 🤐) Twinned cities quietly preserve colonial ties. Portugal twins 45% of its cities with ex-colonies The absences tell the story as much as the arcs. #TidyTuesday #DataViz #PydyTuesday #Python

Global arc map showing twinning links between European coloniser cities and their former colonial territories. Red arcs radiate outward from a dense cluster in Western Europe, reaching Latin America, West Africa, South and Southeast Asia, and Oceania. Notable callouts include Easter Island, Central Africa's near-absence, and Australia/New Zealand as the longest arcs on the map.

Choropleth map of Europe showing the percentage of each country's sister city links that point to former colonies. Portugal (45%) and Spain (41%) are darkest. Austria (37%) is highlighted as a land empire outlier. Germany and Belgium show very low percentages despite significant colonial histories.

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Ana Olivia Jorge @kindsoul3.bsky.social · 10/05/2026

Why does this look so good 😭

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Ana Olivia Jorge @kindsoul3.bsky.social · 04/05/2026

Love your submission! I also research fish particularly tuna :) This dataset was so big and there are so many sides to it.

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Ana Olivia Jorge @kindsoul3.bsky.social · 04/05/2026

Italy, 1943. The entire data is missing. No sugar, no beer, no data — the government collapsed mid-WWII. 115 years of Italian food production for #TidyTuesday week 18 #TidyTuesday #PydyTuesday #Python #PyLadies

Line chart showing Italian food and beverage production from 1871 to 1985, measured in kilograms or liters. Seven products are plotted — sugar, glucose, coffee substitute, seed oil, ethyl alcohol (two categories), and beer — against shaded background bands marking five historical periods: the Industrial Revolution, WWI, Fascism and Autarchy, WWII, and the postwar Economic Miracle. Sugar dominates, peaking near 2 billion kg in the early 1980s. Beer rises sharply after 1950. A visible gap in 1943 is annotated as missing data due to the collapse of the Italian government during WWII. All lines drop dramatically during wartime periods and recover strongly after 1945.

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Ana Olivia Jorge @kindsoul3.bsky.social · 29/04/2026

First time doing #TidyTuesday — a weekly data challenge where the community all explores the same public dataset and shares their work. This week: US Agricultural Tariffs. As a European I had to look at wine 🍷 Built in Python 🐍 #PydyTuesday #TidyTuesday #PyData

Line chart with four panels showing US wine import tariffs from 1997 to 2020,
broken down by wine category: sparkling, still light, still strong, and bulk.
Each panel shows two lines — a solid line representing the MFN rate paid by
EU exporters, and a dashed line representing the average rate paid by Free Trade
Agreement partners. The MFN line remains elevated across all categories while
the FTA line trends toward zero over time, illustrating the growing tariff
disadvantage faced by European wine exporters without a bilateral trade deal
with the United States.

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