November 23rd, 2018 by AnyChart Team
Happy Thanksgiving holiday! While the traditional Black Friday rush is getting into the full swing, we hope you can spare a minute to check out new interesting data visualization projects. Let’s see a list of what’s featured this time on DataViz Weekly and without more ado proceed to the charts:
- years lost due to air pollution;
- urban greenery in Cardiff and Newport;
- rape case clearance rates across the United States;
- Thanksgiving holiday trends.
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November 20th, 2018 by Jay Stevenson
Data visualization is the practice of converting data from raw figures into a graphical representation such as graphs, maps, charts, and complex dashboards. Let’s see what makes it important (meaning), how it has developed (history), and exactly how it can work in real life (examples). Join us on Data Visualization 101, an introduction to dataviz and its power.
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November 16th, 2018 by AnyChart Team
With visualization, data analysis can get easier, faster, and more insightful. In this DataViz Weekly article, we’ll share a few more interesting practical examples we’ve recently come across:
- internal migration paths in Barcelona;
- cost of living in the United States;
- #JobsNotMobs meme transition onto a slogan;
- urban evolution of Brasilia.
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November 9th, 2018 by AnyChart Team
The 2018 midterm election in the United States of America has been among the hottest topics on the media agenda for quite a long time. Various publications were covering the course of the House, Senate, and governor campaigns, sharing forecasts from analysts, and so on. Now that voting is over, all eyes are on the outcome.
Today’s DataViz Weekly will show you how several prominent publications communicated the results of the midterms to their readers with the help of data visualization techniques: The New York Times, The Washington Post, Bloomberg, and The Guardian. So get ready for a lot of choropleth maps! But not only.
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November 6th, 2018 by AnyChart Team
Following the 8.4.0 release of the AnyChart JS Charts library, now we’ve also got an awesome major update for our data visualization extension for Qlik Sense. Its version 2.5.0 is already available, adding Gantt Chart and Tag Cloud to the list of supported chart types.
Meet AnyChart Qlik Extension 2.5.0!
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November 2nd, 2018 by AnyChart Team
Hey everyone! We’ve gone through a number of new visualizations this week and selected four interesting projects to feature on DataViz Weekly today:
- the most commented subreddits over years;
- voter turnout in the United States;
- population density as terrain;
- years lost to leading death causes across the United Kingdom.
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October 26th, 2018 by AnyChart Team
Presenting data in the form of interactive graphics helps to make its exploration more convenient and insightful. In our new DataViz Weekly post, we’ll tell you about another four interesting visualization examples illustrating this.
Today on DataViz Weekly:
- visual taxonomy of skills;
- map of AI-detected fields and crops in the U.S. and Europe;
- ORACLE of Blair — a midterms prediction model from high school students;
- chart of all space launches since 1957.
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October 19th, 2018 by AnyChart Team
Another seven-day wait is over, and a new DataViz Weekly issue is here! This time, we offer you to look at the following interesting charting projects:
- U.S. population projections through 2060;
- House of Representatives elections from 1840;
- Calgary traffic incident prediction;
- every building in America.
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October 12th, 2018 by AnyChart Team
Check out some of the new interesting data visualization examples on a range of topics from all over the web.
Today in DataViz Weekly:
- European Parliament elections;
- racial diversity in the United States, block by block;
- good and bad words;
- Brazilian general elections.
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October 8th, 2018 by AnyChart Team
The year’s third major update for AnyChart is out, featuring the JS Sankey Diagram chart type as the ultimate centerpiece of the new release.
Learn more about AnyChart 8.4.0 and start making use of our updated JavaScript (HTML5) libraries for interactive data visualization right away.
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