November 6th, 2020 by AnyChart Team
All eyes on election maps! Yes, they could be misleading. And even widely misleading. But it can be at least so fascinating to look at them, especially at times like this! So, we have curated a list of over twenty reputable resources — as of now, to be precise, 24 and counting! — where you can watch the live results of the 2020 United States Presidential election in compelling data visualizations. At the same time, it is a great chance for you to investigate and understand how election maps (and some other graphics) can look and work in practice.
💡 See also: 2024 U.S. Election Maps (November 2024).
Vote counts may be different on different platforms and update as more data becomes available out there — it’s absolutely okay. The election results are still partial. Over the coming days, all numbers will be adjusted to match the real, final vote count. Just in case: We’ve added only reliable sources — notable, reputable media outlets.
Without further ado, check out maybe the most important data visualizations these days! (Electoral vote count numbers in the text last updated on November 9th, 2020, for each source.)
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October 30th, 2020 by AnyChart Team
With November 3rd just around the corner, we could not resist the temptation to devote an entire Friday article to the 2020 U.S. election. Indeed, there are many great new data visualization projects on this topic that are worth featuring. Check out some of the most interesting ones in the special pre-election edition of DataViz Weekly:
- Visualizing data about donations to Biden’s and Trump’s campaigns — The New York Times
- Charting the latest Electoral College ratings — The Cook Political Report
- Exploring election forecast correlations — Adam Pearce
- Analyzing search interest in the U.S. election years since 2004 — Truth & Beauty
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October 26th, 2020 by AnyChart Team
While thousands of companies choose AnyChart to operate interactive data visualization in commercial projects, we are especially proud our charting solutions have been put for good use in education. Here’s a great new case, for example.
Have you heard about Flippity? It is a fascinating free web project providing teachers (and students) with an extremely straightforward way to turn Google Sheets’ spreadsheets into something cool and useful in the education process — flashcards, quizzes, games, timelines, leaderboards, random name pickers, progress indicators, and many other online things. Earlier this year, Flippity added a dedicated tool to create a Word Cloud from a Google spreadsheet, and we are excited it is powered by our JavaScript charting library!
To learn and tell you more about Flippity and their experience using AnyChart JS for data visualization, we had a quick talk with Steve Fortna, a school teacher from Massachusetts and the creator of Flippity. Check out the interview! (Stack: HTML/Google Sheets.)
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October 23rd, 2020 by AnyChart Team
Meet a set of new amazing visualizations we’ve spotted and admired lately. Below is a list of the projects featured today on DataViz Weekly. Keep reading to learn about each and then check them out right away.
- Global COVID-19 crisis in data — FT
- Twisty roads worldwide — Adam Franco
- Ways Biden or Trump could win — FiveThirtyEight
- Electoral College Decision Tree — Kerry Rodden
Read more »
October 16th, 2020 by AnyChart Team
We know DataViz Weekly is read on a regular basis by data visualization practitioners from many countries, and we are happy you guys find it interesting and helpful. Are you ready for another bunch of new great data graphics projects worth looking at? There you go:
- NBA playoff win probabilities — Adam Pearce
- Fall fire weather days in California by the century’s end — ProPublica
- U.S. unemployment crisis shapes — NYT
- Deaths of despair in America — Periscopic
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October 9th, 2020 by AnyChart Team
DataViz Weekly is here featuring a selection of new compelling projects with awesome charts and maps. Check out some of the coolest fresh examples of data visualization best practices in action!
- $4 trillion coronavirus bailout under the microscope — The Washington Post
- Presidential Plinko — Matthew Kay, Northwestern University
- Allegations of foreign interference in the 2020 U.S. election — DFRLab
- American streets named after athletes — ESPN
Read more »
October 2nd, 2020 by AnyChart Team
We’ve curated another four new wonderful examples from around the web that greatly illustrate the power of data visualization in action. Meet them straight away, on DataViz Weekly!
- COVID-19 spreading rates by country — Jan Willem Tulp
- Two decades of Trump’s finances — The New York Times
- Dangerous air pollution in the record wildfire season in the Western U.S. — NPR
- Germany divided — Berliner Morgenpost
Read more »
September 29th, 2020 by AnyChart Team
AnyChart 8.9.0 is out! The latest major update brings new exciting out-of-the-box features to our award-winning JavaScript charting library product family — AnyChart, AnyStock, AnyGantt, and AnyMap. Enjoy the improved functionality and build even more compelling data visualizations for your web sites and apps in less time!
»»» See What’s New in AnyChart 8.9.0! «««
- Categories: AnyChart Charting Component, AnyGantt, AnyMap, AnyStock, Big Data, Business Intelligence, Dashboards, Financial Charts, Gantt Chart, HTML5, JavaScript, News, Stock Charts
- 2 Comments »
September 25th, 2020 by AnyChart Team
We have put together a roundup of new awesome data visualizations from around the web. Look what we’ve got for you to check out this Friday on DataViz Weekly:
- Noise pollution in Brussels — Karim Douïeb
- Census 2020 undercounts and their consequences — NYT Opinion
- COVID-19 symptoms search trends — Google People + AI Research (PAIR)
- World happiness by region — Wayde Herman
Read more »
September 22nd, 2020 by Wayde Herman
Data visualization is an important and sometimes undervalued tool in a data scientist’s toolkit. It allows us to gain an understanding and intuition about the data, through exploratory data analysis, which influences preprocessing, feature engineering, and the correct machine learning algorithm choice. It also helps to better evaluate models and even allows you to spot areas in the data where models could have poor performance.
Taking data visualization one step further by adding interactivity is even more advantageous. By adding interactive elements to your visualizations you create a more engaging experience. This in turn makes a user ‘explore’ visualizations instead of just reading them!
In this tutorial, I will be covering how to build an interactive data visualization, specifically a box plot as an example, using JavaScript and a charting library. I will begin by first briefly covering the basics of box plots before going through the steps of building one and then finally using the technique in a fun example to investigate the distribution of happiness between the different regions of the planet in an attempt to answer the question: ‘Where should you live to be happier?’.
Read the JS charting tutorial »