Anyone who works with data eventually has to decide what form it should take on screen. One way to think that through is to look at how other people handled theirs. DataViz Weekly is where we collect those examples.

Today’s four:

• Price changes across U.S. consumer spending — Nathan Yau
• Trump family crypto network — Molly White
• Dish names on restaurant signs — Vladimir Terentyev
• IKEA sofa colors since 1960 — Toon Vos for The European Correspondent

Price Changes Across U.S. Consumer Spending

Prices in the United States have been rising unevenly for several years now. The overall inflation figure lands as a single number each month, but underneath it some categories are up sharply while others have fallen outright.

Nathan Yau put the full landscape into a single treemap built on the June 2026 Consumer Price Index. Every rectangle is a spending category, sized by its share of average spending and nested inside a broader group such as shelter, food, energy, or medical care services. Color carries the year-over-year price change on a diverging scale, blue for a decrease and red for an increase.

Shelter occupies the largest block, with owners’ equivalent rent and rent of primary residence filling most of it in warm tones. Gasoline is the deepest red on the board. Motor vehicle insurance, health insurance, wireless telephone services, and eggs all run blue. Hovering over any rectangle gives its exact price change and its exact share of spending.

👉 See the visualization on FlowingData. It appears under Data Underload, the series where Nathan Yau publishes charts of his own, and one we keep an eye on.

Trump Family Crypto Network

The Trump family has launched or taken stakes in a range of cryptocurrency ventures in recent years. These span a memecoin, a stablecoin, an NFT line, mining operations, and a decentralized finance platform. The president’s most recent annual financial disclosure, filed in June 2026, reports income from several of them.

Molly White mapped those ventures and the connections between them as an interactive network diagram. Hundreds of nodes cover businesses, holding entities, products and tokens, outside companies, political funds, and federal agencies. A legend colors them by category, separating ventures with direct family involvement from outside parties. Connecting lines carry short labels describing each relationship, drawn solid where the link is documented and dashed where it is tenuous or unconfirmed. Gray enclosures group family and associate clusters. A left-hand panel filters the graph by connection type, with running counts for ownership and governance, deals, holdings, legal and regulatory, political, and family ties.

A toggle switches the view from structure to income. Dollar figures from the FY 2025 disclosure attach to the nodes that produced them, and a side panel breaks the totals out entity by entity, covering license agreements, token sales, staking rewards, and more. Clicking any node or connection opens a panel with annotations and source citations. A search box locates any entity directly.

👉 Explore the network on Citation Needed.

Dish Names on Restaurant Signs

Related dishes go by different names depending on where you are. Rice with meat turns up as plov, biryani, pilaf, and pulao. Linguists call the line where one word gives way to another an isogloss.

Vladimir Terentyev traced those lines using the names on more than two million food venues in OpenStreetMap. The result is an atlas of six maps. Five cover dish groups including rice, dumplings, noodles, and skewered meat. The sixth reads each venue’s cuisine tag instead and folds it into 29 national cuisines.

Each map divides the land into territories, coloring every patch by whichever name is most common among the venues nearest to it. Brightness varies within a territory, glowing where venues cluster and fading where the data thins, so you can see where the map is working almost blind. Shaded relief sits underneath. Checkboxes turn the territory fill and the individual venue points on and off, and the legend lists every dish with its venue count.

A scroll-driven story runs first, moving the camera and swapping dishes and layers as it goes before handing over the controls. There is also a card maker for cropping any part of the map, picking a format, editing the headline, and exporting the result as an image.

👉 Check out the atlas on Flavor Lines.

IKEA Sofa Colors Since 1960

Furniture follows color trends like everything else. IKEA published a printed catalogue every year until 2021, and each edition pictured the sofas of its moment.

Toon Vos counted the color of every sofa across those catalogues from 1960 onward, 3,500 in all, and put the tally into one static chart. It is a band of vertical stripes running left to right by year, two stripes per year for that year’s two most prominent sofa colors. The stripes are filled with the actual colors, so the encoding and the subject are the same thing. Patterned sofas appear as checkered fills rather than solid ones.

Green and blue run through the 1960s. Browns and beiges take over across the 1970s and 1980s. Patterns crowd the 1990s almost end to end. The final stretch settles into white, beige, and gray. Three short annotations sit above the band and mark those turns.

👉 Take a closer look at the chart and learn more on The European Correspondent. Nothing to click here, and nothing to filter. It made our list because the whole trend lands in a single look.

So that is four examples of how other people approached their own data.

DataViz Weekly is our ongoing collection of data visualization examples, and we look through far more than we feature, so the four here are the ones we actually wanted to go through in full.

More next time — stay tuned:

👉 DataViz Weekly on AnyChart Blog
👉 DataViz Weekly on Medium

And if you have built something yourself, send it over, we are always glad to take a look.

Originally published at https://www.anychart.com on July 31, 2026.

How Others Approach Data Visualization — DataViz Weekly was originally published in Data Visualization Weekly on Medium, where people are continuing the conversation by highlighting and responding to this story.

There is far more data visualization out there than any roundup can hold. Only a few projects make our shortlist, and what gets them there is how well the charts and maps bring out what sits in the data.

Here is the shortlist for this edition of DataViz Weekly:

• Travel time to key amenities — Henry Spatial Analysis
• Iran war and fertilizer supply — Reuters
• Climate-driven farmland decline — CSIC
• Labour’s shifting support bases — The Guardian

Travel Time to Key Amenities

Choosing where to live usually means trading off what sits nearby. A home close to work might be far from good schools, a park, or a favorite shop.

Henry Spatial Analysis built Close, an interactive travel-time map of the United States. You pick up to six types of destination and set how you would reach each one, by walking, biking, or a mix of walking and transit. The map then colors every census block by the travel time to whichever of your destinations is farthest, so a block reads as convenient only when everything is within reach. The view above does that for the Philadelphia area, with supermarkets set to walking and public libraries to transit, on a scale running from under five minutes to more than thirty.

Selected destinations also appear as points. Clicking any block breaks out the separate travel time to each of them, and clicking a point gives its name and address. Checkboxes drop a destination from the combined calculation or hide its points, and a search box jumps to any city or county.

👉 Check out the map at close.city.

Iran War and Fertilizer Supply

Modern farming depends on synthetic nitrogen fertilizer, which is made from natural gas. Gulf countries export a large share of the world’s supply of both. The war with Iran disrupted those shipments.

Reuters traces how that disruption reached farms and food prices, in a scroll-driven piece that alternates painted illustrations with charts. An early illustrated sequence starts on a map of the Gulf, zooms into the Strait of Hormuz, then lets the outline of the water reshape into a diagram tracing how natural gas becomes ammonia and then urea. A line chart of granular urea futures follows, with colored bands marking the planting seasons of major importers such as India, the U.S., and Australia, so the price spike can be read against the moment farmers were buying, and the war is marked on the line.

Further down, an aerial view of farmland resolves into the treemap above, where urea imports from Gulf countries are sized by trade value and grouped by region. Two more line charts bracket the piece. One tracks nitrogen fertilizer use since the 1960s. The other lays the FAO food price index for each year since 2023 over a single January-to-December axis, with 2026 picked out against the rest.

👉 See the piece on Reuters, by Travis Hartman, Anurag Rao, Kripa Jayaram, and Ed White.

Climate-Driven Farmland Decline

Rising temperatures and shifting rainfall are changing where crops can grow and how much land can produce. The effects differ sharply from one region to the next.

Researchers at the Spanish National Research Council (CSIC) built CADI, the Climate-Driven Agricultural Decline Index, around the interactive world map above. Every farmland grid cell is shaded on a diverging color scale. The value is the change in how many people that cell could feed in a year, with its crop mix held fixed so only the climate varies. Maroon marks losses, deepening past 80,000 fewer people fed, and teal marks gains. Much of the tropics reads red, while parts of the far north read green.

A slider moves through time, from the change already measured this century to projections running to 2100. Other controls switch between observed and projected periods and between absolute and percentage change. A separate Results page backs each key finding with column charts, concentration curves, and scatter plots.

👉 Explore the map on the CADI website, by Laura Mayoral, Hannes Mueller, Björn Komander, and János Szentistványi.

Labour’s Shifting Support Bases

Andy Burnham has just taken over from Keir Starmer as Labour leader and UK prime minister. The party he inherits draws its support from several distinct groups, among them trade unions, left-leaning voters, and Muslim communities.

The Guardian goes through those groups one at a time and gives each its own charts. Pictured above is one of them, a line chart scoring sentiment toward immigration in Commons debates across a century, built from speech fragments dating back to 1925. A separate line runs for each party, moving between positive and negative sentiment, with markers on turning points along the way. Elsewhere a scatter plot places every constituency by its change in Labour vote share against its Muslim population share, each dot colored by the party that won the seat in 2024.

Several more charts fill out the piece, among them column charts on union donations, on MPs stripped of the party whip, and on terrorism-related arrests, plus a grid of small bar charts on where 2024 Labour voters now say they would vote.

👉 Look at the article on The Guardian, by Alexandra Topping and Lucy Swan.

Travel times across US cities, the fertilizer shock that followed the war in the Gulf, farmland gaining and losing its capacity to feed people, the support base of Britain’s governing party. Four projects from four different fields, each sitting on a substantial dataset. What they have in common is that the charts and maps genuinely open that data up, letting you see its shape, compare its parts, and follow your own questions through it. That is what gets a project onto our list, and four more arrive next Friday in Data Visualization Weekly:

👉 DataViz Weekly on AnyChart Blog
👉 DataViz Weekly on Medium

Originally published at https://www.anychart.com on July 24, 2026.

Fresh Charts and Maps on Our Radar — DataViz Weekly was originally published in Data Visualization Weekly on Medium, where people are continuing the conversation by highlighting and responding to this story.

A lot of data visualization gets published online, and some of it is well worth stopping on. In DataViz Weekly, we pull together a few projects that struck us as strong work and show how they put their data across.

Our four this time:

• Who appoints U.S. Supreme Court justices // USAFacts
• AI exposure across Bay Area jobs // San Francisco Chronicle
• World Cup matches as data portraits // Alexander Bogachev
• Transformer squeeze on AI data centers // Financial Times

Who Appoints Supreme Court Justices

The US Supreme Court has seated 116 justices over its history. None of them were elected. A president nominates each one and the Senate confirms, after which the seat is held for life.

The Viz Lab at USAFacts builds the piece around a timeline of every justice’s tenure. Each justice is a vertical bar that runs from confirmation to departure, colored by the party of the nominating president. Red marks Republican, blue marks Democratic, and gray marks other. Chief Justices carry a hatched fill. Presidents line the left edge and the years run down the right, from the court’s earliest days at the foot to the present at the top. Gaps between bars show stretches when a seat sat empty. Annotations point out particular cases, such as the longest-serving justice and periods when one party’s nominees filled every seat. A toggle regroups the bars by party.

Two charts follow. A stepped area chart tracks how the nine seats have divided between Republican- and Democratic-nominated justices year by year since 1869. A bar chart then ranks presidents by the number of justices each had confirmed, from Franklin Roosevelt’s nine down to Jimmy Carter’s none.

See the piece on USAFacts, by Amber T. and Joey C.

AI Exposure Across Bay Area Jobs

Artificial intelligence can now take on parts of many jobs. How exposed a profession is varies widely from one occupation to the next.

The San Francisco Chronicle paired an AI-exposure study by OpenAI and University of Pennsylvania researchers, which scored more than 900 US occupations, with local employment data for the Bay Area. The centerpiece is a beeswarm chart. Every occupation appears as a circle. Its spot along the horizontal axis is its AI exposure score, and its size reflects how many people work in it. Home health and personal care aides, the region’s most common job, sit far left with a low score. Software developers, the second most common, sit well to the right, among the more exposed roles. A search box locates any occupation.

The rest of the piece pulls back for context. A table shades common local occupations by their exposure scores. A grouped bar chart sets the exposure mix of Bay Area jobs against the national one. A searchable, paginated table opens the full list of occupations for lookup.

Take a look at the article on the San Francisco Chronicle, by Hanna Zakharenko, Wesley Ratko, and Alexandra Kanik.

World Cup Matches as Data Portraits

A single football match holds a huge amount of data. Over ninety minutes, it generates thousands of recorded events, from passes and shots to cards and swings in momentum. The 2026 World Cup has reached its final weekend, with only Sunday’s title match left.

Alexander Bogachev rebuilt each World Cup match as a single generative image. A gallery holds the whole tournament by round, each game its own small terrain. Open one and it replays as a 3D surface view of the pitch.

Two fabric sheets in the teams’ national colors lie over the field, and the line where they meet marks who holds the ground. As one side takes control, its color spreads across the halfway line. When play turns, the boundary slides back. Wherever a shot is taken, the fabric bulges upward, its height set by the chance quality, measured as expected goals. A goal washes the entire pitch in the scorer’s color. Overhead, the sky shifts toward whichever team leads. A jagged line along the bottom leans toward the side on top minute by minute. The clock runs unevenly, dwelling on goals and clear chances while skipping quiet spells, with audio matched to the events. Knockout games decided by penalties finish with a shootout. Every mark on screen comes from real match data, about 1,500 events per game.

Explore the project on Alexander Bogachev’s website.

Transformer Squeeze on AI Data Centers

Transformers raise and lower voltage as electricity moves through the grid. Most of it passes through at least one on the way from generation to use. Demand from AI data centers is now straining the supply of the largest of these devices.

The Financial Times reports the story through a mix of charts and 3D graphics. Two treemaps sit side by side, comparing US power transformer imports by source country in 2020 and 2025. Each supplier is a rectangle sized by import value. Together, they show the total more than tripling across the five years and the mix of source countries broadening. A pair of stacked column charts then breaks down the rise in US and EU electricity demand by sector, with the data-center band swelling in the latest period. A histogram lays out the age of in-service US distribution transformers and shades the share already running past their design life.

Between the charts, scroll-driven 3D graphics take a large transformer apart component by component and assemble a data center’s power system piece by piece. A labeled schematic explains how a solid-state alternative would route power.

Check out the visual story on the Financial Times, by Lucy Rodgers, Ian Bott, Irene de la Torre Arenas, Nassos Stylianou, Bob Haslett, and Sam Learner.

These four are here because each one earns it, not because we needed four. Each turns a real subject into something you can follow closely and examine on your own, through the charts and maps it is built on.

Stay tuned for more practical examples of data visualization on DataViz Weekly:

👉 DataViz Weekly on AnyChart Blog
👉 DataViz Weekly on Medium.

Originally published at https://www.anychart.com on July 17, 2026.

Data Visualization at Work Across the Web — DataViz Weekly was originally published in Data Visualization Weekly on Medium, where people are continuing the conversation by highlighting and responding to this story.

A strong data visualization does more than display figures. It carries a real share of the explaining, turning a dataset into something you can follow and question.

Every Friday, DataViz Weekly gathers a handful of projects that get this right. Check out our latest selection:

• America’s might across two centuries — The Economist
• U.S. national parks without crowds — Bloomberg
• Homes without AC as U.S. heat peaks — The Washington Post
• Double earthquake in northern Venezuela — El País

America’s Might Across Two Centuries

The United States marks its 250th anniversary in 2026. It has the world’s largest economy at market exchange rates and remains a leading military and technological power.

The Economist charts the country’s long arc with a vertical stream graph of world GDP at purchasing-power parity, running from 1820 down to 2025. Each country or empire is a flowing band whose width is its share of global output. China and the British Empire dominate the early 1800s. The United States band is a sliver at first, then widens through the 20th century to become the largest, before China’s band swells again toward the present.

Other charts extend the picture across different measures of power. A line chart tracks GDP per person for countries with more than 20 million people. A stacked area chart breaks down global military spending by country and bloc since 2001. A pair of line charts compares U.S. and Chinese research spending alongside their shares of the world’s top 100 universities.

👉 See the piece in The Economist.

U.S. National Parks Without Crowds

The United States national parks set a visitation record in 2025, with 323 million recreation visits. That popularity crowds the best-known parks, especially through the summer.

Bloomberg built a visual guide to 16 parks around the timing of a visit. It opens with small radial charts grouped by region. Each traces a park’s share of annual visitors week by week around the year, so the seasonal peak shows up as a bulge in the ring.

Every park then gets its own section built on a radial chart of concentric rings. One ring encodes the weekly share of visitors, another the average high temperature, and another precipitation, all wrapped around the calendar year. The best weeks to visit are flagged directly on it. A shaded relief map follows, marking and numbering the park’s trails and separating the most traveled routes from well reviewed but quieter alternatives. Together they point readers toward the windows and paths that skip the worst congestion.

👉 Explore the guide on Bloomberg, by Gordy Megroz, Marie Patino, and Denise Lu.

Homes Without AC as U.S. Heat Peaks

In early July 2026, a heat dome pushed temperatures across much of the United States to dangerous highs. Air conditioning is one of the most effective defenses against heat like this. Not every home has it.

The Washington Post mapped where the two meet. A national bubble map layers two things. A shaded area marks where the forecast reached major or extreme heat risk. On top, each county appears as a circle sized by the number of homes without air conditioning, colored orange inside the risk zone and gray outside. The eastern half of the country carries both the heat and the largest clusters of homes without cooling.

A closer choropleth map zooms into the Detroit area. It shades neighborhoods by the share of homes that lack air conditioning, from under 5 percent to more than 20. The deepest shades fall across parts of the city itself.

👉 Take a look at the article on The Washington Post, by Kevin Crowe and John Muyskens.

Double Earthquake in Northern Venezuela

In late June 2026, two powerful earthquakes struck northern Venezuela seconds apart. They measured 7.2 and 7.5 in magnitude and were unusually shallow. The affected region is densely populated and lies close to Caracas.

El País maps each shock as an intensity map, one for the magnitude 7.2 quake and one for the 7.5 that followed 38 seconds later. Both shade the ground shaking from light to intense, with the epicenters marked near Yumare and Montalbán and cities including Caracas plotted for reference. The bubble chart above sets the event against global earthquakes of magnitude 6 or more since 1976. Magnitude runs across the horizontal axis, depth down the vertical, and each bubble is sized by the number of deaths. The Venezuela quake sits among the shallow events, where the deadliest cases cluster.

Several more visuals follow. A horizontal bar chart shows the USGS estimate of how likely different death-toll ranges are. A color-coded table ranks affected towns by the intensity each felt. A lollipop chart plots every magnitude 6 or greater quake in the region since 1900 by year and size, paired with a dot map of where they struck. A final bubble map places the two quakes within the tectonic plate boundaries that cross the region, alongside earlier earthquakes since 1960.

👉 Check out the story on El País, by Yolanda Clemente Pomeda, Sebastián Casse, and Kiko Llaneras.

Those are our four for this week. We picked each one because its charts and maps make the underlying data clear and easy to question, which is the standard we hold to every edition. We will line up more great data visualization examples next Friday — stay tuned:

👉 DataViz Weekly on AnyChart Blog
👉 DataViz Weekly on Medium.

Originally published at https://www.anychart.com on July 10, 2026.

Recent Data Graphics That Pull Their Weight — DataViz Weekly was originally published in Data Visualization Weekly on Medium, where people are continuing the conversation by highlighting and responding to this story.

On its own, a table of numbers rarely tells you much. The right visualization gives that data a voice and lets the story inside it come through.

This is what we look for when we pick projects for DataViz Weekly, our regular roundup of recent data visualization examples we found most interesting. Here are the four in this edition:

• Ancestry across America — The New York Times
• Seinfeld in data and sound — Andy Kirk
• 2026 World Cup through charts and maps — Reuters
• Heat exposure across Europe — Klimadashboard

Ancestry Across America

Over roughly 250 years, the United States has absorbed more than 100 million immigrants. The mix of backgrounds in any given place reflects which groups arrived there and when.

The New York Times built an interactive choropleth map that colors every census tract by the ancestries its residents reported to the Census Bureau. Where several groups live side by side, the tract’s color blends them, drawing on nearly 200 possible identities grouped into categories like European, African, Asian, and Mexican, Central or South American. A search box jumps to any city, town, or neighborhood, and can also highlight where a single ancestry is most concentrated. Zoom in and the finer mix within individual neighborhoods comes into view.

The map anchors a companion article on how immigration shaped the country. Animated transitions trace the geography of Italian, African American, Scandinavian, Mexican, Chinese, and Native American roots one at a time. Voronoi treemaps then break the foreign-born population into regions of origin across four snapshots from 1850 to 2024, and a line chart follows the immigrant share by region of birth over time. The piece ends by zooming into the ancestry of individual cities like Los Angeles, Chicago, and Honolulu.

👉 See the map on The New York Times, and read the accompanying article, “How a Nation of Immigrants Traces Its Roots”, by Albert Sun, Jeff Adelson, and Larry Buchanan.

Seinfeld in Data and Sound

Seinfeld ran for nine seasons between 1989 and 1998 and is often counted among the most influential sitcoms ever made. Its humor was built on the everyday interactions of a small central cast.

Andy Kirk built a digital edition of a long-running visual investigation into the patterns of laughter, character interaction, and location use across every episode of the show. It opens with a timeline plotting all 180 broadcast episodes across the nine seasons. At its heart is a browsable catalogue of episode “compositions.” Each one pairs a visual breakdown of the episode with a sonified version of its scenes, played back as short jazz pieces built from sounds tied to the show.

From there, the project works through its threads one by one. Separate sections examine the screen time and laughs generated by the four lead characters, then the supporting cast, then the locations where scenes play out, with trends tracked across episodes and seasons. An interactive tool at the end lets you see how often any given combination of characters and locations appears.

👉 Check out the project on Andy Kirk’s website, developed with Anne-Marie Dufour and with sonification by Miriam Quick and Duncan Geere of Loud Numbers.

2026 World Cup Through Charts and Maps

The 2026 World Cup has expanded to 48 national teams, the most in the tournament’s history. Matches are being played across cities in the United States, Canada, and Mexico.

Reuters has been covering the tournament in a continuously updated hub of data graphics that spans teams, venues, and trends, using many chart and map types. Its most recent article at the time of writing looks at why lightning can stop a match. A bar chart ranks the 16 stadiums by the lightning strikes recorded near each one over the past decade, colored by whether the venue has an enclosed roof or sits open to the sky. A polar chart breaks those same totals down by hour. A grid of small maps then shows the density of past strikes around each stadium, within the eight-mile radius that forces play to stop.

The article before it turns to foreign-born players across the competing squads. A bar chart ranks national teams by how many of their players were born abroad, with Curacao at the top. A Sankey diagram then links birthplaces on one side to the teams those players turn out for on the other, tracing the paths that run through the squads.

👉 Explore the feature on Reuters. The lightning article is by Simon Scarr, Han Huang, and Adolfo Arranz. The foreign-born players article is by Mayank Munjal and Divya Rajagopal.

Heat Exposure Across Europe

Large parts of Europe have been gripped by extreme heat in recent weeks, with several countries recording their hottest June temperatures on record. Heatwaves across the continent are becoming more frequent and more dangerous.

Klimadashboard built an interactive map that lays a live weather grid over a population grid, estimating how many people across Europe are exposed to dangerous heat right now. Each dot is a grid cell. Its size reflects the number of residents there, and its color reflects the selected measure. The default view shows the difference from average. It captures how much hotter or colder each area is today than its 1961 to 1990 norm, running from blue below the baseline to red above it. Two other views recolor the map by today’s peak air temperature and by a feels-like measure that adds in humidity and wind.

The page opens with a summary panel beside the map. It reports how many people in Europe are currently in cells above a chosen temperature threshold, alongside how far the day is running above the long-term average. The figures refresh hourly. A country selector narrows those totals to any single nation, clicking a country opens a national breakdown, and hovering a cell gives local detail. A settings control changes the date or the heat threshold.

👉 Discover the tracker at heat-tracker.eu.

That is our selection for this edition. Each project shows data visualization doing its core job, letting the data itself carry the point. We will be back with more examples worth your attention next week:

👉 DataViz Weekly on AnyChart Blog
👉 DataViz Weekly on Medium.

Originally published at https://www.anychart.com on July 3, 2026.

Data Visualization Examples That Make Data Speak — DataViz Weekly was originally published in Data Visualization Weekly on Medium, where people are continuing the conversation by highlighting and responding to this story.

Over the course of a week, we look through a wide range of data visualization projects. On Friday, the four that stood out most to us make it into DataViz Weekly, to inspire your own work or for your pure entertainment if you like.

See what made the cut this time and join us in taking a closer look at them right away:

• AI content across creative fields — The Economist
• AI copyright lawsuits — Information Is Beautiful
• Climate data and visualizations after Climate.gov — Climate.us
• Extreme heat across Europe — The New York Times

AI Content Across Creative Fields

Generative AI tools now let almost anyone produce text, code, images, and music from a simple prompt. The volume of this kind of content appearing online has grown quickly over the past few years.

The Economist tracked how artificial intelligence is changing five creative fields, each through its own chart. Shown above is the first, a stacked area chart of monthly e-book releases on Amazon. The total splits into two bands, non-AI titles below and AI-generated ones above, with an annotation marking the release of ChatGPT-3.5 in late 2022. Before that point, the total holds near 100,000 books a month and is almost entirely non-AI. After it, the AI-generated band swells and pushes the total to roughly 300,000 by the end of 2025, accounting for nearly all of the rise.

The other four fields follow the same approach. Column charts track self-filed civil lawsuits in the United States, academic preprints on arXiv, and new app releases on Apple’s App Store. A line chart compares AI-generated and human music uploaded to Deezer. In each, the rise steepens around the arrival of widely available AI tools.

👉 See the piece in The Economist.

AI Copyright Lawsuits

The boom in AI-generated content rests on models trained on huge volumes of existing text, images, and music. Many of the people and companies behind that material object to how it was used. More than 100 copyright lawsuits have now been filed against AI companies over how their models were trained.

David McCandless represented a selection of these cases as a radial network diagram. Each major AI company sits as a large circle near the center, among them OpenAI, Google, Meta, Anthropic, and Nvidia, alongside smaller image and music generators. The plaintiffs ring the outside. Each appears as a circle scaled to the organization’s size and colored by type, with separate colors for authors, media outlets, musicians, platforms, publishers, and visual artists.

An arrow runs from each plaintiff to the AI company it is suing. A few arrows carry a label marking the outcome where a case has been resolved, such as settled, won, or lost.

The same page sits within a wider look at generative AI, starting with a bubble chart that plots major large language models by capability score over time, with each bubble sized by the number of training parameters.

👉 Look at the graphics on Information Is Beautiful.

Climate Data and Visualizations After Climate.gov

For years, Climate.gov was a leading public source of climate information in the United States, widely used by educators, journalists, and local decision-makers. In 2025, the small NOAA team that ran it was laid off and the site was taken offline, with its address redirected to another government page.

The same team rebuilt the work independently as Climate.us, a nonprofit platform, recreating the dashboard, story archive, expert blogs, maps, and data pathways the federal version held.

Pictured above is its Global Climate Dashboard, which greets visitors on the home page with a compact overview of key indicators including Arctic sea ice, carbon dioxide, mountain glaciers, and greenhouse gases. Each indicator sits in its own card pairing a small chart with a short plain-language summary. Most are line charts tracking the long-term trend. Spring snow cover and surface temperature use column charts marking year-by-year departures above and below a baseline. Selecting any indicator opens its full interactive version to explore the data in depth.

The dashboard is only the entry point, with more visual indicator reports, maps, and explainers across the rest of the site.

👉 Explore the Climate.us website.

Extreme Heat Across Europe

Recent summers have set temperature records across much of the world. Europe in particular has once again been gripped by extreme heat, with dangerous conditions across large parts of the continent.

The New York Times captures the scale of the heat across the European continent at a glance in its dedicated tracker. The view updates continuously. At the time of writing, it shows the forecast for Saturday, June 27, with the strongest heat concentrated over central and western Europe.

Two maps sit one after the other, both shaded as continuous color gradients. The first shows how far the forecast temperature runs above or below the local average. The second shows the absolute forecast highs.

👉 Check out the tracker on The New York Times, by Lazaro Gamio, Zach Levitt, and Erin McCann.

That’s all for this edition. More great data visualization examples from around the web land here next Friday, in DataViz Weekly. Stay tuned:

👉 DataViz Weekly on AnyChart Blog
👉 DataViz Weekly on Medium

Originally published at https://www.anychart.com on June 26, 2026.

Visualizing Data on AI and Climate — DataViz Weekly was originally published in Data Visualization Weekly on Medium, where people are continuing the conversation by highlighting and responding to this story.

A trend, pattern, or relationship can sit inside the numbers until the right chart or map draws it out. Good data visualization brings the important part forward, in a form people can read, follow, and explore for themselves. DataViz Weekly ⁠ is where we regularly highlight recent projects that show this in practice.

Here are our four picks for this edition:

• Daily temperatures against the historical norm — Reuters
• Physical profile of World Cup squads — The Straits Times
• Ukrainians in global film and TV — Texty.org.ua
• Underground fungal networks — SPUN

Daily Temperatures Against Historical Norms

Heat is one of the clearest signals of a warming planet. On any given day, temperatures somewhere on Earth run well above or below what was normal a few decades ago.

Reuters published a daily-updating dashboard, the Climate Monitor, that compares each day’s forecast high with the local average from 1961 to 1990. The centerpiece is a 3D globe shaded on a diverging scale, blue where the day runs cooler than that baseline and orange where it runs warmer, with several cities labeled and a Celsius-Fahrenheit toggle. Search or click any spot and a panel gives its forecast high and the gap above or below normal, beside a small line chart tracing the location’s daily highs this year against the normal-year curve.

The same comparison runs worldwide as a fuller line chart, with the faint spread of individual past years behind it. A ranked table orders the six continents by their distance from normal, with a diverging bar beside each row. A grid of six area charts closes the piece, one per continent, tracing daily departures across the year in orange above the baseline and blue below, each flagging its hottest day so far.

👉 Check out the dashboard on Reuters, by Ben Welsh and Casey Miller.

Physical Profile of World Cup Squads

The 2026 World Cup is underway, the first with 48 teams and more than 1,200 players across three host nations. Beyond skill and tactics, the physical build of a squad varies from one nation to the next.

The Straits Times analyzed the heights of every player at the tournament by position and compared each national team against the others and against the general population back home. Drawing on football data sources and country population figures, the analysis starts with a chart that sets two selectable squads side by side, plotting each player as a colored dot in a beeswarm by position, over a faint cloud of every player at the tournament, with the World Cup average of 183 centimeters marked.

A dumbbell chart then ranks all 48 nations by squad height, each row drawn as two connected points, the squad average and the national population average, so the gap between team and country reads at a glance. A final visualization turns to age, giving each squad its own row with one dot per player along a shared scale, sorted from the youngest teams to the oldest.

Opening and closing the piece, an interactive tool takes a reader’s height, weight, year of birth, and stronger foot and matches them to the players and the squad they most resemble.

👉 See the interactive on The Straits Times, by Alyssa Mungcal, Brandon Kim, Deepanraj Ganesan, Lily Yu, Nur Hasya, Nurulshazanani Idris, and Roman Sverdan.

Ukrainians in Global Film and TV

Since Ukraine gained independence in 1991, its people have appeared in films and television series produced around the world. How they are portrayed on screen has drawn more attention in recent years.

Texty.org.ua mined a large corpus of English-language film and television subtitles for every reference to Ukraine and Ukrainians since 1991, then grouped those references by theme to see which images of the country recur. The result is built around an interactive scatter plot where each dot is one short subtitle excerpt.

Excerpts that read alike sit near one another, by semantic similarity, and color marks the theme each belongs to. Ten labeled clusters appear, among them objectified portrayals of women, marriage to a foreigner, mafia and crime, war and aggression, geopolitics and NATO, and cuisine such as borscht, while grey dots fall outside the named groups.

As you scroll, the view settles on one cluster at a time alongside quotes and commentary, and a search box brings up any title to see where its mentions land. Two line charts add a time dimension: one traces the falling share of mentions that use the older form “the Ukraine” rather than “Ukraine,” and the other follows how often Ukraine is named alongside Russia across the years.

👉 Take a look at the article on Texty.org.ua, by Yevheniia Drozdova.

Mapping Underground Fungal Networks

Beneath most of the world’s plants lies a web of fungi that links their roots underground. These arbuscular mycorrhizal networks move carbon, nutrients, and water between plants and the soil, yet because they are microscopic and out of sight, their global scale has never been measured.

The Society for the Protection of Underground Networks (SPUN) published a map that visualizes these fungal networks based on a recent study published in Science. To build it, researchers assembled data from more than 16,000 soil cores worldwide, trained machine-learning models, and calibrated them against robotic imaging of over 300,000 living hyphae. The study’s headline figure is staggering: laid end to end, the fungal threads in the world’s topsoil would reach from the Earth to the Sun roughly a billion times.

The resulting Mycorrhizal Infrastructure Map is an interactive 3D globe whose land is shaded along a continuous scale, from dark teal where the predicted network density is low to bright yellow-green where it is high, measured in meters of hyphae per cubic centimeter of soil. The globe rotates and zooms, and returns a density reading for any point you tap.

A visual story accompanies the map, stepping through the science with its own visuals. One globe is dotted with thousands of sampling sites behind the estimate. Another threads a dashed mesh between those points, standing in for the modeling that fills the gaps. The closing sections tilt into oblique 3D terrain and zoom into single landscapes, grasslands first and croplands after, each carrying a readout with a spot’s coordinates, density, and global percentile.

👉 Explore the map and the story on SPUN, with the map designed by Moritz Stefaner (Truth & Beauty).

This edition once again shows how much the right visual form can do. A chart, map, or interactive story can pull the signal forward and give readers room to examine the data on their own. We will continue tracking recent work like this:

👉 DataViz Weekly on AnyChart Blog
👉 DataViz Weekly on Medium

Originally published at https://www.anychart.com on June 19, 2026.

New Data Visuals That Surface What Matters — DataViz Weekly was originally published in Data Visualization Weekly on Medium, where people are continuing the conversation by highlighting and responding to this story.

A new edition of DataViz Weekly brings together four recent projects that stood out to us. They cover different subjects, formats, and storytelling approaches, but each shows how carefully designed charts and maps can make data easier to read.

The lineup includes:

• Argentina’s squad for the 2026 FIFA World Cup — La Nación
• Heat across the World Cup host cities — Bloomberg
• Super El Niño on the way — BBC
• Oldest first names in the United States — Data Stuff

Argentina’s 2026 World Cup Squad

The 2026 World Cup has just begun, and Argentina enters it as the defending champion. The team won the 2022 tournament in Qatar. Lionel Scaloni has now named the squad tasked with trying to do it again.

La Nación compared the 2026 squad with the 2022 champions through two scatter plots, both built on Opta performance data and national team appearance records. The first plots each player by age along the horizontal axis and caps for the national team up the vertical, sorting them into zones from young to veteran. Yellow marks the Qatar squad, blue marks the 2026 group, and a dark ring flags the players named to both.

The view opens on the 2022 squad. Dashed lines then connect each returning player to their 2026 position as you scroll, before the chart settles on the current group. Many who reached Qatar with fewer than 15 caps now arrive with more than 40.

The second scatter swaps in a player rating against the competitiveness of each player’s club. The returning players travel the same scroll path from their 2022 standing to their 2026 one. Of the 26 players named, 17 also featured in Qatar, the most of any Argentine squad returning to defend the title.

Check out the article on La Nación, by Leandro Contento with Matías Conde, Pablo Loscri, Maria Rodríguez Alcobendas, and Andrés Eliceche.

Heat Across World Cup Host Cities

The same tournament also raises another question: what kind of heat will teams face as they move from city to city? The 2026 World Cup is spread across 16 host cities in the United States, Canada, and Mexico. It runs through the summer, which forecasters expect to be especially hot.

Bloomberg measured the heat each team faces using wet-bulb globe temperature, a figure that combines heat and humidity. A scroll-driven map of the host region sets the scene, its grid cells shaded by the ten-year median reading at each location, with the 16 stadiums marked. As you move through it, team flags drop onto their venues, and dashed lines trace each team’s route across the continent.

Tunisia and France come out with the most heat-exposed schedules. Uzbekistan lands coolest despite traveling through hot cities, because several of its matches fall in air-conditioned stadiums.

A ranked dot plot then lays out every team in turn, with a dot for each of its three group-stage games and a marker for the average, sorted from the hottest schedule down. Threshold lines mark where cooling breaks or postponement would come into play. Two more charts follow. A lollipop chart places the projected heat of the 2026 final against every final back to 1950. A bracket of the knockout rounds colors each match by its potential heat.

See the piece on Bloomberg, by Emma Court, Elena Mejía, David Ingold, and Joe Wertz.

Super El Niño on Its Way

From there, the heat story widens beyond football. El Niño is a recurring warming of the surface waters of the tropical Pacific. It reshapes rainfall and wind patterns across much of the world. Forecasters have warned that a new one is forming and could be among the strongest on record.

The BBC tracked the pattern’s emergence through a series of maps and line charts. The first is an animated globe centered on the Pacific, its sea surface shaded against a recent baseline, blue for cooler and orange for warmer. Three steps move through the months. In December, the waters are cool, with no El Niño present. The central Pacific warms by early spring. By April, the warming has taken firm hold, and the main monitoring region stays boxed throughout.

An area chart then traces an index of Pacific temperatures back to 1950, red where it crosses into El Niño and blue where it drops into La Niña, with a marker on the right for the forecast range later in 2026. A world map marks the regions a strong El Niño tends to leave wetter or drier, annotated with effects from a suppressed monsoon to heightened wildfire risk. Finally, a line chart sets monthly global temperatures against a pre-industrial baseline, coloring the El Niño and La Niña years and running a trend line through the long-term rise.

Explore the story on the BBC, by Mark Poynting, Erwan Rivault, Becky Dale, and Jess Carr.

Oldest Names in the U.S.

For a change of pace, the final project turns from climate and sport to something more personal. Baby names rise and fall in popularity over the decades. A name near the top of the charts in one generation can be almost unheard of a few generations later.

Erin Davis used census records, historical baby name data, and actuarial life tables to estimate the age distribution of people alive in the United States today under each name. The piece centers on a grid of small histograms, one per name, each showing the share of people in each age bracket, with the average marked. Myrtle leads the set, its bars piling up in the 80s and 90s.

A pair of scatter plots follows, both plotting a name’s average age against how far it has fallen from its peak. The first rings the most endangered names. The second sorts names from dated and dusty to newer and trendy, with examples labeled in each corner. An interactive histogram closes the piece, with a dropdown to pull up the age profile of any name.

Take a look at the post on Data Stuff, Erin’s blog.

Each project in this edition shows how charts and maps can turn data into something easier to compare, explore, and understand. That is what we keep looking for in DataViz Weekly: recent data graphics that bring the story in the data into clearer view. We will be back next Friday with more examples of data visualization done well:

👉 DataViz Weekly on AnyChart Blog
👉 DataViz Weekly on Medium

Originally published at https://www.anychart.com on June 12, 2026.

Fresh Examples of Data Graphics Done Well — DataViz Weekly was originally published in Data Visualization Weekly on Medium, where people are continuing the conversation by highlighting and responding to this story.

Where does the volume go? It’s the question Sankey diagrams answer best, making any flow legible at a glance with proportional-width bands between stages.

Qlik has had a native Sankey for years that handles simple flows well, but reality often goes further. Meet our Sankey Chart extension for Qlik Sense, built for the flows that have outgrown it.

Why a New Sankey

A Sankey diagram visualizes flow as columns of nodes connected by curved bands. Nodes are categories at each stage. Bands carry value, with width scaled to the size of the flow. Read left to right, you see how a starting volume distributes through stages to outcomes.

Qlik’s native Sankey is the right call for shorter flow journeys, covering the basics:

• up to five stages
• source-only selection on flow click
• source-or-target link coloring

When those limits start to bite, our Sankey Chart extension takes it further:

• up to ten stages
• full flow-click selection
• richer visual context

Where It Fits

Anywhere a value flows through stages and the question is where the volume goes:

• Budget allocation and cost analysis:
  How money flows from business units through departments to expense categories
• Supply chain analysis:
  Product flow from factories through distribution centers to retail locations
• Customer journey mapping:
  User paths from acquisition channels through product features to conversion or churn
• Energy and resource flows:
  Energy conversion from sources through generation stages to end uses
• Website traffic analysis:
  Visitor paths from landing pages through site sections to exit or conversion
• Conversion funnels and marketing attribution:
  Multi-step conversion paths or attribution across touchpoints

What Our Sankey Does Well

Up to 10 stages

Our Sankey Chart accepts up to 10 stages (dimensions), giving headroom for the deeper hierarchies and longer journeys that real-world flows often have.

Three to five stages is still the sweet spot for visual readability. The extra capacity is now there whenever your data warrants it.

Full flow-click selection

Click a link and the chart selects both source and target dimension values at once. It acts as a flow-level filter that narrows the entire Qlik model to a specific flow path in a single click.

Node clicks add multi-select within a dimension. A confirm/cancel toolbar handles applying or aborting the selection, and selections survive Qlik repaints.

Rich visual context

Gradient links blend from source node color to target node color, so you see where a flow originates and where it lands. Alternative coloring modes (by source, by target, or single color) cover dashboards that prefer simpler treatment.

Node coloring offers three modes — by dimension level, unique per node, or single color, with full support for master dimension colors.

Level headers above each column label the dimension represented, useful on charts with four or more stages where the meaning of each column might not be obvious from node names alone.

Tooltips break down each flow in detail. Hover a node and see its income, outcome, dropoff, and share of the level total. Hover a link and see source → target, the link’s share of total flow, share of the source node’s output, and share of the target node’s input.

Three sliders fine-tune layout density: node width, node spacing, and link curvature.

Native to Qlik

Our Sankey Chart fits Qlik’s standard integration set: master dimension colors, calculation conditions, story snapshots, image and data exports, and locale-aware number formatting.

See the Demo App

We built a free demo app to showcase the new Sankey chart against a global supply chain — flow from source regions through materials and product lines to end markets. Multi-stage enough to stress the chart’s interactions, snappy enough to click through without waiting.

Easiest to open in your browser, but the QVF is downloadable if you’d rather load it into your own Qlik environment:
➡️ Explore the Sankey Chart demo app

Try the flow-level selection in particular: click a link between two stages and watch the entire sheet filter to that path.

Get Started

The Sankey Chart extension is available now:
➡️ Download the extension — free trial included

Install takes just a few minutes on any Qlik Sense environment:

• On Desktop, drop the extracted folder into your Extensions directory.
• On Enterprise, import the archive through Qlik Management Console.
• On Cloud, upload through the Management Console (with a qlik.anychart.com entry in your Content Security Policy).

The installation guide in the Sankey Chart documentation walks through each part in detail.

Or if you’d rather see it against your own data with our team first:
➡️ Book a guided live demo

Share Feedback

Releasing v1.0 is the start, not the goal. We already have a nice roadmap in mind, but the next version that’s truly worth shipping is the one shaped by the real apps you’re building with Qlik.

If you try our Sankey on your data and something doesn’t work as well as you’d like — a stage layout you wish it had, a coloring mode that’s missing, a flow interaction you need — let us know. Your feedback determines what the next version will bring.

The Sankey Chart joins our family of Extensions for Qlik Sense, alongside Spreadsheets, Decomposition Tree, Gantt Chart, Sunburst Chart, Circular Dendrogram, and more. See where it fits in your Qlik dashboards.

Originally published at https://qlik.anychart.com on June 9, 2026.

A good chart gives numbers a shape the eye can follow. DataViz Weekly is our regular roundup of data visualization projects from around the web that exemplify that power.

Check out our selection for this edition:

• Growing registration outside both major parties across the U.S. — USAFacts
• SpaceX IPO against top global listings — Bloomberg
• California’s largest fortunes and their taxes — NYT Opinion
• 2026 Ebola outbreak in Congo — NBC News

Growing Registration Outside Both Major Parties

When Americans register to vote in many states, they record a party affiliation. The choice is not limited to the two major parties. A voter can register with a minor party or decline to affiliate with any party at all.

The Viz Lab at USAFacts used ternary scatter plots to visualize the latest shifts in voter affiliation. Each triangle places a state’s counties between three corners, one for Democrats, one for Republicans, and one for voters who are unaffiliated or with a minor party. Every county appears as a diamond sized by its registered voters and pulled toward the corner that holds most of them, shaded from blue to red by which major party is ahead.

As registration shifts year by year, each diamond drifts and leaves a trail, so a long trail marks a large move and its direction marks where the county is heading. A year slider with a play button runs the animation, and a search box highlights any county.

In the Colorado chart, for example, most trails climb almost straight toward the Other or Unaffiliated corner. Separate ternary charts follow for North Carolina and Kentucky, where the trails lean toward the Republican corner instead, and an interactive version opens the same view to 27 states and Washington, D.C.

The piece also carries a set of proportional symbol maps, namely arrow maps. Up and down arrows on each county mark the percentage point change in the share registered with the Democratic party, with the Republican party, and outside either one.

👉 Explore the project on USAFacts.

SpaceX IPO Versus Top Global Listings

SpaceX is preparing to go public after more than two decades as a private company. Much of its value rests on its Starlink satellite internet business.

Bloomberg set SpaceX against the 100 largest global stock market listings since 2000 through a bubble chart that builds up as you scroll. The horizontal axis runs across the years and the vertical axis measures offer size. The listings first appear as dots along the baseline, then rise to their offer size, with the largest labeled, among them Visa, AIA, Alibaba, and Aramco. Each point then expands into a bubble scaled to the market capitalization reached after listing, where Aramco stands out at $2.4 trillion.

The bubbles next take on color by sector, and a dotted outline marks the companies ultimately owned by sovereign states. At the end, SpaceX enters at the top right as a single large bubble far above the rest, with a roughly $75 billion offer size and a target valuation above $2 trillion.

A few more charts round out the piece. They place SpaceX next to the Magnificent Seven before and after their own listings, track the valuations of other large private companies, and plot price to sales against revenue across a set of firms.

👉 Check out the story on Bloomberg, by Demetrios Pogkas, Jennah Haque, and Kiel Porter.

California’s Ultrawealthy and Their Taxes

A very small number of Californians hold an enormous share of the state’s private wealth. Those fortunes have grown many times over across the past four decades.

Economists Emmanuel Saez and Gabriel Zucman open their guest essay in The New York Times Opinion section with an area chart tracing the combined wealth of the top 0.0002% of Californians in today’s dollars. The graph climbs from $22 billion in 1982 to $1.6 trillion in May 2026, with the dot-com peak and the postpandemic dip marked along the way. The essay then steps year by year through California’s richest individuals from 2005 to the present.

The next section turns to a set of icebergs, one for each of Mark Zuckerberg, Larry Page, Sergey Brin, and Jensen Huang, as the richest Californians nowadays. A guide first explains how to read them. The small tip above the waterline is the income that was taxed, the band at the surface is retained corporate profits, and the large mass below is additional stock gains. The effective tax rate is labeled at each level and falls from the tip to the base. For each person, the figures break a wealth increase of more than $150 billion into those three parts, with the underwater portion dwarfing the visible peak.

👉 Look at the article on The New York Times, by Emmanuel Saez and Gabriel Zucman, with graphics by Gus Wezerek.

2026 Ebola Outbreak in Congo

An Ebola outbreak is spreading in eastern Democratic Republic of the Congo. The World Health Organization declared a public health emergency in mid-May 2026. The cases involve the Bundibugyo species, a rare form that has caused only a handful of recorded outbreaks.

NBC News set the current outbreak against past ones with a line chart. The horizontal axis counts the days since the WHO declaration, and the vertical axis counts cumulative cases. The 2026 Congo outbreak appears in orange. A solid line tracks confirmed cases, which reach 378 within the first weeks, while a dashed line tracks suspected cases and climbs almost vertically past 900 before the WHO revised that count down in early June.

Faded gray lines trace several earlier outbreaks, including the West Africa epidemic of 2014 to 2016, the largest on record. The country’s own 2012 Bundibugyo outbreak, in the same orange as the current one, sits low and flat near the bottom, already passed within the first weeks. The steepness does the work here, setting the pace of the 2026 outbreak against the earlier ones in a single view.

Beyond this chart, the piece maps where the outbreak is spreading and uses further graphics to explain how the virus is transmitted and what it does to the body.

👉 See the piece on NBC News, by Jane Weaver, Jiachuan Wu, and Javier Zarracina.

Four subjects, four different ways of putting the numbers in plain sight through thoughtful visualization. Another set of compelling charts and visual stories lands here next Friday:

👉 DataViz Weekly on AnyChart Blog
👉 DataViz Weekly on Medium

Stay tuned.

Originally published at https://www.anychart.com on June 5, 2026.

Charts That Frame Numbers Clearly — DataViz Weekly was originally published in Data Visualization Weekly on Medium, where people are continuing the conversation by highlighting and responding to this story.