9 line charts in a grid showing how the proportion of people living in extreme poverty has decreased in 8 world regions and the world population overall. From around 3 in 4 people in all regions in 1820 to 1 to 7 % in all regions except for Africa, South of the Sahara (36 %).

Remarkable progress has been made in reducing extreme poverty worldwide. Yet 1 in 10 people still live in extreme poverty.

#30DayChartChallenge | Day 20 - Global Change #dataviz

Now back down to "a lot"

#30DayChartChallenge Day 21 - Historical
Given the officially declared State of Emergency in Wellington, for this day I am making a time series graph of the Hutt river flows back to the last big weather event. Six weeks ago. (locally- there have been other State of Emergency elsewhere in that time)

Day 20 — Global change

In 1900, most children were out of school.
Today, it’s a small minority.

But not for everyone —
girls were left behind for decades.

Progress is real. Inequality too.

#30DayChartChallenge #DataViz #Education

#30daychartchallenge / day 20 / global trends

#rstats #dataviz #ggplot

#30DayChartChallenge Day20: Evolution.

A 30-year evolution of global primary energy consumption by source. Renewables have grown, but less than non-renewables. Nuclear remains stagnant.

#dataviz #stataviz

A horizontal timeline titled “Up in the Air: A Timeline of India’s Active and Defunct Airlines” shows the lifespan of Indian airlines from the 1920s to 2025. Airlines are represented as horizontal lines spanning their years of operation, with green lines indicating active airlines and grey lines with red endpoints indicating defunct ones. Categories include passenger (national and regional), cargo, and charter, distinguished by shades of green. At the top, a few long-running active airlines stand out, especially Air India (spanning over 90 years), alongside others like IndiGo, SpiceJet, Vistara, and newer entrants such as Akasa Air. The density of active airlines increases after the 1990s, reflecting liberalisation and growth in the aviation sector. Below, a large cluster of defunct airlines appears, particularly concentrated between the 1990s and 2010s, with many short-lived carriers lasting only a few years. Earlier decades (1930s–1970s) show fewer airlines with longer durations, while the post-1990 era shows frequent entries and exits. Overall, the chart highlights the rapid churn in India’s aviation industry, with many airlines failing within a short time, contrasted by a small number of long-standing carriers.

#Day21: Historical
India’s aviation industry has a long history, and a longer list of airlines now history. After GoAir and Vistara, only a handful of passenger airlines remain: Air India/Express, SpiceJet, IndiGo, Akasa Air. A story of many takeoffs and even more endings.
#30DayChartChallenge

Line chart showing trends in overweight and stunting prevalence among children under 5 from 2000 to 2024, split horizontally into four panels by country income group (from left to right: high, upper middle, lower middle, and low income) and vertically into overweight on top and stunting below. Overweight prevalence (top row, grey) remain low across all income groups with a slight upward trend. Stunting prevalence (bottom row, red) are much higher in lower middle and low income countries but have declined substantially over the period. Each panel shows individual country lines in the background and a bold line representing the group average.

#30DayChartChallenge #Day18 UNICEF data

Malnutrition takes different forms across income levels. Among children under 5, stunting remains alarmingly high while overweight keeps slowly rising.

Code: github.com/rajodm/30Day...

#dataviz #rstats #ggplot2

#Day20 #30DayChartChallenge: Global change.

Taxi-out time tells a quiet operational story: Europe drifts upward from 2023 to 2025, while Brazil remains broadly steady.
We tried to combine "result" panels with a line chart and struggled to make {ggtext} and {patchwork} work nicely together.

A connected scatter plot titled "Solar Got 99.8% Cheaper as the World Built More of It" showing solar PV module cost (y-axis, log scale, $0.20/W to $200/W) against global cumulative installed capacity (x-axis, log scale, 1 MW to 1 TW) for the years 1975–2024. Each year is a point colored on a purple-to-orange gradient, connected by an orange path. The trajectory runs from top-left (1975: $128.27/W, 0.54 MW, in purple) down to bottom-right (2024: $0.26/W, 1,852 GW, in orange) along a roughly straight line. A dashed gray reference line shows the canonical Swanson's Law slope of 20% cost reduction per doubling of capacity. Six year-points are labeled (1975, 1985, 1995, 2005, 2015, 2024). A white callout reads "Wright's Law (Swanson's Law for solar PV): every doubling of global solar capacity → ~20% cost decline. 1975 → 2024: Capacity ×3.4 million, Cost −99.8%." Drawn on a dark navy background.

Day 20 #30DayChartChallenge — Global Change

In 1975, solar cost $128/W and total global capacity was 0.54 MW. In 2024, $0.26/W and 1,852 GW. A 99.8% cost drop.
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Data: OWID
R + ggplot2

Day 19, Evolution: How does happiness evolve after moving from Hungary to Austria? Just like in evolution, adaptation matters. Over time, migrants report greater happiness, mirroring positive shifts in other subjective well-being domains, such as life satisfaction and optimism. #30DayChartChallenge

#Día20 | Series de Tiempo – Cambio Global | #30DayChartChallenge | Anomalía anual de temperatura superficial global respecto al promedio 1951–1980. Creada usando #Rstats con #ggplot2, #dplyr, #readr, #scales y #ggtext.

A line chart titled "Going electric" with subtitle "EV and plug-in hybrid share of new cars". Four lines trace the share of new car sales that are electric or plug-in hybrid from 2010 onwards. Uppsala (saffron) and Sweden (indigo) rise steeply together, reaching 59.6% by 2025 and 58.0% by 2024 respectively. World (light grey) and EU (dark grey) also grow but reach only 22.0% and 21.0% by 2024. All four lines show low shares until around 2018, then accelerate sharply. Source: SCB (Uppsala, 2010–2025) and Our World in Data (2010–2024).

#day20 of #30DayChartChallenge, Global change

code: github.com/gkaramanis/3...

#RStats #dataviz

#30DayChartChallenge Day 14 : Trade

RAM price drop? 😱

Recent spot price data for RAM chips and sticks shows a slight decline over the past few weeks

Not exactly a freefall but these are still the first drops since it went bananas starting last fall

(These aren't retail prices)

#Rstats #Tech

Coloring up #Day20 of the #30DayChartChallenge: added color for better contrast and accessibility.
#dataviz
bsky.app/profile/byte...

Cleaned up #Day19: Evolution of #30DayChartChallenge a bit more to arrange label-markers chronologically #dataviz @datavizsociety.bsky.social

#30DayChartChallenge Day 13 : Ecosystems 🇨🇦

So #Yukon has the largest number of protected areas relative to its size. Well, now I know, and so do you.

#Canada #Rstats

At 4 %, the lowest nation-wide, #PrinceEdwardIsland probably doesn't have a lot of land to spare. Potatoes need space 🥔

Mapa de calor rectangular de anomalías térmicas globales por mes (columnas) y año (filas) desde 1880. La parte superior correspondiente a años antiguos es predominantemente cian, indicando temperaturas bajo la media. La franja inferior, correspondiente a las dos últimas décadas, es de un magenta oscuro continuo en todos los meses.

El tapiz del calentamiento global (1880-Pres). 🌍🔥 La matriz térmica revela un cambio de régimen: el azul del s.XIX ha sido devorado por un avance implacable del calor extremo. Las estaciones ya no importan, el exceso es sistémico. #30DayChartChallenge #Day20 #RStats

Day 17, Remake: Last year, we looked at housing prices in Budapest; this year, we have shifted our focus to Vienna, zooming in on medium-sized apartments built before 1960 across districts. The 1st district (Innere Stadt) clearly stands out from the rest. #30DayChartChallenge #Vienna

Three-panel stacked line chart showing independent indicators of planetary change from 1960 to 2024, all trending upward in parallel. Top panel: atmospheric CO₂ concentration rises from 317 ppm to 425 ppm, crossing the 400 ppm threshold in 2013. Middle panel: global mean temperature anomaly (relative to 1951–1980 baseline) climbs from near 0°C to +1.2°C, first exceeding +1°C in 2016. Bottom panel: global mean sea level rises approximately 149 mm (15 cm) above the 1960 baseline. All three signals move in the same direction across six decades, illustrating the convergent trajectory of climate change indicators. Data sources: NOAA GML (CO₂), NASA GISS (temperature), CSIRO Church & White, and NOAA LSA (sea level).

📊 #30DayChartChallenge 2026 – day 20
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Timeseries | Evolution
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🔗 : stevenponce.netlify.app/data_visuali...
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#rstats | #r4ds | #dataviz | #ggplot2

1 in 5 Births: The Global🌍share of C-Section births nearly doubled in two decades.

#30DayChartChallenge | Global Change

#Rstats #Dataviz #ggplot2

#30DayChartChallenge Day 20 - Global Change

How has the prevalence of mechanics in @boardgamegeek.com games changed over time?

Code in #rstats: github.com/drjohnrussel...

I'm again late to the #30DayChartChallenge! For Day 17: Remake, I recreated a ~120 year old chart from the 'Geographisch-statistischer Taschen-Atlas' book showing the religious composition in Europe around the late 19th century. And what stands out to me is the diversity of Istanbul’s population!

A tilemap of the world showing how electricity production sources have changed from 2000 to 2024. Each tile contains an area chart indicating the share of fossil fuels (grey), nuclear (yellow), and renewables (green). Across most regions, especially Europe, parts of Latin America, and Africa, renewable energy use has grown. In contrast, several countries in Asia and the Middle East remain dominated by grey, indicating continued dependence on fossil fuels. Nuclear energy (yellow) is visible in a smaller set of countries, notably in Europe and East Asia. Overall, the map highlights a global shift toward renewables, though progress is uneven across regions.

#Day20: Global change
How do countries power themselves? Over the last two decades, the world’s electricity mix has been slowly turning green, but not everywhere. Data: @ourworldindata.org
#30DayChartChallenge #dataviz #energymix

#Day20 of the #30DayChartChallenge: Global Change

Household electricity access has improved over the years, but conflicts and instability can quickly reverse that progress.

Built with gifski
#DataViz #Rstats

I'm again late to the #30DayChartChallenge! For Day 17: Remake, I recreated a ~120 year old chart from the 'Geographisch-statistischer Taschen-Atlas' book showing the religious composition in Europe around the late 19th century. @30daychartchall.bsky.social

The global line goes up, as does the local within it.

#30DayChartChallenge Day 20 Global change

The Earth's Energy imbalance (added trapped energy due to more CO2) since 2000 in watts per metre squared (blue line), and the days climate emergency of NZ regions as percentage of total days available for those regions

Line chart showing the levelized cost of electricity (LCOE) for four power sources from 2010 to 2024 in 2024 USD per kilowatt-hour. Solar PV begins at $0.42/kWh in 2010 and falls 90% to $0.043/kWh by 2024, the steepest decline of any technology. Onshore wind drops 69% from $0.11 to $0.034/kWh. Offshore wind declines from $0.19 to $0.079/kWh. Fossil fuels remain relatively flat near $0.09/kWh throughout, spiking to $0.14/kWh in 2022 before retreating. Two vertical dotted lines mark cost-parity crossover points: onshore wind becomes cost-competitive with fossil fuels in 2013, solar in 2017. By 2024, both solar and onshore wind generate electricity more cheaply than any fossil fuel alternative. Data source: IRENA Renewable Power Generation Costs reports.

📊 #30DayChartChallenge 2026 – day 19
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Timeseries | Evolution
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🔗 : stevenponce.netlify.app/data_visuali...
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#rstats | #r4ds | #dataviz | #ggplot2

World🌍 rugby ranking, Men's 15s aside.

#30DayChartChallenge | Evolution

#Rstats #Dataviz #ggplot2

A stacked area chart titled "Inside the Plastic Boom" showing global plastic production by polymer type, 1990 to 2019, in million tonnes per year. Eight colored bands stack from polyethylene (cyan, bottom, 110 Mt in 2019) up through PP, Other, Fibres, PVC, PET, PS, and PUR (pink, top, 18 Mt). Total grows from 130 Mt to 460 Mt — a 3.5× increase. Each polymer is labeled in a ranked column on the right (PE 24% at top → PUR 4% at bottom), connected to its band by a colored leader line. A white callout notes that PE alone is 24% of all plastic produced and only ~9% of plastic waste ever gets recycled.

Day 19 #30DayChartChallenge — Evolution

130 Mt in 1990. 460 Mt in 2019. Global plastic production has tripled in 29 years — and "plastic" is 8 different polymer families.

PE alone = 24% of all production.

Data: OWID (Geyer 2017)

#Día19 | Series de Tiempo – Evolución | #30DayChartChallenge | Nuevas especies de mamíferos descritas por la ciencia · 1900–2050. Creada usando #Rstats con #ggplot2, #dplyr, #scales y #patchwork.