r/dataisbeautiful ·Saturday, December 27, 2025

Analysis of 30 years of temperature data across 259 cities reveals alarming warming trends, with Marrakech, Morocco leading at +1.45°C per decade—nearly four times the global average. Central Asian cities in Kazakhstan, Uzbekistan, and Armenia show extreme warming, while European Alpine regions in Switzerland and Austria are heating faster than lowlands. Continentally, Africa (+0.56°C/decade) and Europe (+0.52°C/decade) warm fastest, with the global average across cities at +0.40°C/decade. The study highlights significant regional disparities in climate change impacts.

This data visualization presents 75 years of U.S. economic indicators—unemployment rate, inflation (CPI), and federal funds rate—on a single timeline from 1950 to 2025. Key patterns include the 1970s–1980s 'perfect storm' where all three indicators spiked simultaneously, the 1990s–2000s 'Great Moderation' period of stability, the 2008 financial crisis response with rate cuts, and recent aggressive rate hikes to combat post-pandemic inflation. The chart illustrates how the Federal Reserve typically raises interest rates to slow the economy when inflation rises, creating clear visual relationships between these interconnected economic factors.

A Reddit user criticizes a Visual Capitalist map titled 'Share of Households with No Income, by U.S. State' for being misleading and irresponsible. The user argues the title should specify 'no earned income' instead, as many households rely on unearned income sources like investments, pensions, or government assistance. Citing 2024 Census data showing only about 5% of U.S. households have income below $10,000, the user notes the map's presentation risks fueling a 'welfare state' narrative by omitting context about wealthy households with unearned income. They suggest a companion post on unearned income statistics would provide better clarity.

A Reddit user created a detailed histomap timeline covering 2400 years of the Harappan and Vedic eras in ancient India, spanning the Bronze and Iron Ages. The timeline aims to make the cultural and material transitions of these civilizations more accessible to students, hobbyists, and history enthusiasts. While not an academic reconstruction, it synthesizes multiple archaeological and geological sources to illustrate the development and influences that shaped the Indian subcontinent. The creator shared a link to an interactive version for better readability.

This data visualization tracks Activision Blizzard's revenue sources from 2008 to 2022, highlighting a significant industry shift. Initially dominated by PC gaming revenue, the company's income streams have dramatically transformed. Console gaming revenue surged to become the primary source, while mobile gaming experienced explosive growth, particularly after the acquisition of King (maker of Candy Crush) in 2016. The data reveals how the publisher of major franchises like Call of Duty, Diablo, Warcraft, and Overwatch successfully adapted to changing market trends, with mobile now representing a substantial portion of their business alongside their traditional console and PC offerings.

A data visualization project analyzed 855 Amazon products across 11 categories to determine profitability scores. The methodology weighted profit margins and sales velocity at 40% each, with market saturation accounting for 20%. The analysis used Next.js, Recharts, and Nivo treemap tools to present the findings visually. The post aimed to help sellers identify the most profitable categories on Amazon by combining these key metrics into a single profitability score for each category.

A Reddit user created an interactive 3D visualization using Plotly to explore how average family size affects population growth over 10 generations. The model shows that with an average of 3.5 children per generation, one could theoretically have 62 billion descendants in 10 generations. The visualization allows users to adjust parameters like offspring per generation and see the exponential growth effects. The project highlights how small changes in family size can lead to massive population differences over time.