AnyChart

Name: AnyChart
Address: Saint Augustine, FL, US
Telephone: +12794992767

The company's products include massive out-of-the-box capabilities, combined with the flexibility and the simplicity. Loved by thousands of happy customers.

Cross-platform data visualization solutions — award-winning JavaScript charting libraries, Qlik Sense extensions, and more for all your needs in data viz and analytics. Founded in 2003, AnyChart is one of the global leaders in interactive data visualization, offering award-winning, flexible JavaScript (HTML5) charting libraries with numerous chart types and features, great API and documentation, and enterprise-grade support to help businesses transform operational data into actionable information. Cross-browser JS charts and graphs, maps, stock charts, and Gantt charts powered by AnyChart have helped thousands of companies including industry leaders — from startups to corporate giants such as Ford, Oracle, Microsoft, AT&T, Samsung, 3M, Nokia, BP, Lockheed Martin, Bosch and many others — gain better insight, make right decisions, and improve their enterprise performance based on robust, insightful data visualization. Whether you need to enhance your website with better reporting, embed dashboards into your on-premises and SaaS systems, or build an entire new product, AnyChart covers all your data visualization needs. In 2019, AnyChart launched a technology alliance partnership with Qlik, adding three new product extensions for Qlik Sense. The partnership enables the Qlik community to be provided with more than 30 new chart types and many useful features natively in the Qlik environment.

10/14/2026

You saw a great chart a few weeks ago.
Could you still find it?

Weekly gathers examples like that on our blog. Each time, we pick the recent data visualization projects we found most interesting, describe them briefly, and link to the originals. If you build charts and maps yourself, it's a good place to look for ideas.

Here's what went into our two latest editions:

● Problem gambling experiment on DraftKings
ProPublica
↳ Follows a reporter's 10 weeks of betting, wager by wager.

● Expert ratings of fixes for U.S. schools
The New York Times
↳ Weighs 30 proposals by expected impact and cost.

● Elevation anywhere on Earth
Bert Spaan with Jules Schoonman
↳ Brings out the terrain, from mountain ranges to river valleys.

● Every vote in Berlin's 2026 state election
Danila Morkovkin
↳ Shows where each party drew its support across the city.

● Afterlife beliefs by age
Alvin Chang for The Pudding
↳ Lets you walk among 1,500 survey respondents from 23 countries.

● U.S. tariff exposure across Canada
School of Cities, University of Toronto
↳ Estimates the local businesses and jobs at risk, down to the neighborhood.

● Population pyramids from 1950 to 2100
Karim Douieb
↳ Traces the shifting age structure of the world or any country.

● American social life in 1995 and 2026
Data for Progress
↳ Repeats a three-decade-old survey and puts the answers side by side.

Both editions are on our blog. Bookmark them for the next time you need a reference.

Your own work is welcome too. Tell us about it, and it could appear in a future edition.

09/28/2026

Behind many news stories sits a dataset that knows more than the headline.

Data journalists get it talking with charts and maps. And this time, all four picks come from newsrooms.

is our regular roundup, where we sift through recent data visualization work from across the web and feature the projects we found most interesting as real-world examples for anyone who works with data.

Here's what made the cut for the latest edition:

🔸 Anomalies in Russia's 2026 Duma election results
// Важные истории
↳ Runs the official count through statistical tests.

🔸 The biggest donors in the 2026 U.S. midterms
// Washington Post
↳ Fits the 50 largest donors into a single treemap.

🔸 Waste heat from AI data centers in U.S. cities
// Bloomberg Green
↳ Follows data center heat from rooftop fans to whole cities.

🔸 Food self-sufficiency and forests in Indonesia
// The Straits Times
↳ Shows where forests have gone and where crops grow.

We walk through each on our blog, link in the comments.

Newsroom or not, if you've got a dataset talking, tell us about it. The next four could come from anywhere!

09/23/2026

Every number in the company is correct.
That is exactly why none of them match.

The systems that produce them were never built to agree. Nobody ever needed them to.

→ The CRM is right about customers
→ The ERP is right about orders
→ Finance is right about revenue

Three correct answers that have never been in the same room.

Then somebody asks for one screen that holds all three, and the project stops being a design job.

What the outside sees is a team that said two weeks and is now in month two. So it reads as slow delivery. Or as the wrong tool.

It is neither.

A dashboard is often the first audit a company ever runs on itself. Nobody asked for one. It did not create the mess. It found it.

And because finding it was nobody's job, somebody absorbs it. At night, in a file nobody else can open.

That file is now load-bearing. It appears on no diagram, in no budget, in no handover.

The company finds out it exists the week the person who built it goes on holiday.

09/21/2026

Everyone is busy making charts...
Hey, wanna stop and look at anyone else's?

That is the point of Weekly, a standing roundup on our blog. We go through what got published around the web, keep the projects where the visuals do real work on the data, and put them up as examples. Useful if you make this kind of thing yourself, and worth a look either way.

The four we kept this time 👇

👀 The U.S. electorate ahead of the 2026 midterms
(The Economist)
↳ Rebuilds the electorate as a grid of moving dots.

👀 The U.S. economy's mixed signals
(Prinz Magtulis & Ann Saphir for Reuters)
↳ Sets four upbeat indicators against four gloomy ones.

👀 Building ages across 100 cities
(Block and Paper)
↳ Colors every dated building by the decade it went up.

👀 Travel weather scores month by month
(SeasonMap)
↳ Scores 1,350 destinations on the weather you would get.

Check out the latest edition of DataViz Weekly and start wherever you like: https://www.anychart.com/blog/2026/09/18/good-data-visualization-found-passed-along/

Built something where the visuals do the work? Send it over. Four more spots in the next edition.

09/17/2026

Would you investigate a 22% KPI miss before a 4% miss?
One more chart would be great to have before deciding.

Suppose the 22% gap has barely changed for a year.
The 4% gap opened in the last two months, after ten months on plan.

Both are below target.
Only one has just changed.

Put a sparkline next to each number and that distinction becomes visible.

The persistent shortfall calls for a look at performance and the target itself. The recent decline raises a different question: what changed in those two months?

You still need to weigh business impact.
But now you have more to go on than which number looks worse in red.

Sparklines are one of five useful chart types for assessing performance against target, alongside bullet charts, gauges, variance columns, and waterfalls.

Each answers a different question (image 👇).

We've just published a guide to choosing between them, combining them, and spotting the ways each can mislead. Check it out on our blog (💬).

How far off plan we are is only the first question...

09/14/2026

Good data viz appears constantly.
How much of it reaches you?

Weekly is a regular series on our blog, set out to highlight the data visualizations we found most interesting over the past few days. Curated for how their charts or maps pull patterns out of the numbers. Worth your time if you build this kind of thing yourself.

Check out our latest picks:

◉ Heat index days county by county in the U.S.
Gus Wezerek // The New York Times Opinion Section
↳ Tracks how far extreme heat has spread in thirty years.

◉ Visa-free reach of all 199 passports
Akash Wadhwani // Sheets Works
↳ Explores where every passport takes you, and who it lets in.

◉ Hot spells and hospital deaths in Austria
Liuhuaying Yang // Complexity Science Hub
↳ Projects the toll through 2075, by district and by age.

◉ Hajj dates and temperatures in Makkah
Méridien // Balady Atlas
↳ Covers who comes, from where, and how hot it gets.

A list does them no justice.

The full edition is on our blog.
Start there, then open them for a closer look.

Made a chart or map you're proud of?
Point us at it. It could be one of the next four.

09/07/2026

Your next chart could start with someone else's.

DataViz Weekly brings you recent visualization projects as examples for your own work. For the latest edition on our blog, we picked these four:

◆ Record heat and humidity across the U.S.
Washington Post
↳ Sets this summer against every year back to 1895.

◆ Signs of AI authorship online
Pew Research Center
↳ Checks nearly half a million webpages for signs of AI authorship.

◆ Wages measured in Big Macs
The Economist
↳ Measures average take-home pay across 32 countries in Big Macs.

◆ Premier League shirt sponsors since 1992
Financial Times
↳ Traces the rise and exit of gambling brands as front-of-shirt sponsors.

Ready to explore the full selection?
The first comment takes you there.

Have a visualization project to share?
Send it our way for a future edition.

09/04/2026

Most dashboards report what happened.
Almost none are built to answer why.

Revenue is down eight percent.
Resolution time doubled.
There it is, in red, updated hourly.

Then someone asks why, and the dashboard goes quiet.

What follows is filtered exports, a pivot table, and a hunch with a number attached.

Reporting charts and diagnostic charts are two different sets. Often, only the first one makes it onto the dashboard.

Seven charts do that second job.
👉 Decomposition tree, Pareto, waterfall, heatmap, box plot, scatter, Sankey.

Each answers a single diagnostic question (see the image).

One more thing the shortlist does not show: you rarely use just one. For example:
1. Decomposition tree narrows it to a segment, or tells you none owns it.
2. Box plot then asks if the whole group moved or a small tail is dragging the average.
3. Pareto ranks whatever is left, so you act on the few that matter.

Each one removes an explanation.
The next only has to cover what's left.

Order does real work here.
Run the Pareto first and the tail you are looking for hides inside the normal cases.

Knowing which chart answers which question is the easy half. Every chart on that list also has a way to produce a confident wrong answer, and that part does not fit on a card.

The full guide just went up on our blog (see the comments).

08/31/2026

Why does one chart land while the next one just sits there?

It usually comes down to a handful of choices.

📊 Weekly is where we study those choices in work by others. It's a recurring series on our blog. We open far more data visualization projects than we can write about, and only a few make it into each edition, where we go through them and how they work.

If you build your own graphics, that's the useful part. Seeing what someone picked for a particular kind of data, and how it holds up once it is on the page.

The four this time:

📍 AI homework help and exam scores
By The Economist
↳ Tracks 27,000 pupils and finds homework up, exams down.

📍 Reasons Americans stay out of labor force
By Nathan Yau // FlowingData
↳ Follows who works, and what keeps the rest out.

📍 English Premier League jerseys since 1992
By Mayank Munjal, Sumanta Sen // Reuters
↳ Counts every shirt the league's 20 clubs have released.

📍 1.8 million NYC trees by genus
By Daniel Katz, David Miller // Cornell University
↳ Colors every tree crown across the five boroughs.

Check out the full roundup on our blog 👀

Built a project where the visuals bring something out of the numbers? Send it over, it could turn up in a coming edition.

08/24/2026

"Let the data speak" is easy to say.
Data has no interest in speaking.

That takes work, and the work is what we go looking for. Each week, we come across many charts & maps, and Weekly gives us a place to put a spotlight on those that stand out to us.

Four recent projects by other people every edition, with a look at what each one shows and how it is built. Plenty to take back to your own work.

Our latest picks:

❖ U.S. Federal Deficits Since 1962
By Youyou Zhou // Washington Post
↳ Sets revenue against spending each year and marks the gap.

❖ U.S. Solar Imports Under Shifting Tariffs
By Nadja Popovich, Mark Chediak // Bloomberg
↳ Follows solar imports shifting country to country as tariffs land.

❖ Big Tech's AI Commitments Off the Balance Sheet
By Peter Rudegeair, Peter Santilli // The Wall Street Journal
↳ Pulls trillions in AI obligations out of the footnotes.

❖ 2026 Fall Foliage Across the U.S.
By SmokyMountains.com
↳ Steps peak color across the country week by week.

Browse the full edition on our blog.
Link in the comments 💬

If you made or found one that would sit well next to these, send it over for a future edition.

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