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How to Create Bubble Map with JavaScript to Visualize Election Results

January 25th, 2021 by Shachee Swadia

Bubble Map created with JavaScript visualizing election resultsIn these times of exponentially growing data, visualization is a necessary skillset to have in your tool box. Popular techniques include bar charts, line graphs, pie charts, and bubble maps among others.

Building interactive charts from scratch with JavaScript can be a difficult endeavor for any developer, especially someone starting out new. That is exactly why we have JS charting libraries which make it much easier and quicker to conjure up insightful visualizations!

Read on to see how I create a JavaScript Bubble Map with one of these libraries.

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Great Visualizations Not to Miss — DataViz Weekly

January 22nd, 2021 by AnyChart Team

Great Visualizations Not to Miss | DataViz WeeklyFor those unfamiliar with DataViz Weekly, each Friday we select the most interesting data visualization projects from all we’ve discovered these days around the internet. Then we present them in a dedicated summary post. Look at our new picks!

  • Electric, hybrid, and gas car costs vs emissions — NYT
  • Nearest English football team — Automatic Knowledge
  • Map of 100,000 books — David Manzanares
  • Drone privacy legislation worldwide — Surfshark

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New Compelling Data Visualizations on Climate Change — DataViz Weekly

January 15th, 2021 by AnyChart Team

New Compelling Data Visualizations on Climate Change — DataViz WeeklyLately, we’ve come across a number of compelling new data visualizations on climate change and related topics. And we’ll tell you about some of the most interesting ones right now! Check out the new DataViz Weekly roundup.

  • Fingerprints of climate change in 2020 — Reuters
  • Global warming in European municipalities — EDJNet
  • Top greenhouse gas emitters — WRI
  • Future of U.S. fossil fuel-fired electricity — Emily Grubert

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Best Data Visualizations of 2020 — DataViz Weekly

January 8th, 2021 by AnyChart Team

Best Data Visualizations of 2020 | DataViz WeeklyEach week throughout the 2020 year, we curated the most interesting data visualizations from around the Web and introduced them to you in the DataViz Weekly roundup. Now is the time to look at the best of the best! We will hand you over to distinguished experts — Nathan Yau, Alli Torban, Lea Pica, Kenneth Field, and the GIJN team — who have already made their (brilliant) choices. Meet their picks for the best data visualizations of 2020!

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2020 Year in Review in Charts — DataViz Weekly

January 1st, 2021 by AnyChart Team

2020 Year in Review in Charts and Visualizations | DataViz Weekly2020 was strange. It was difficult. But it wasHappy New Year everyone! 🎉

Even though 2020 was not that bad in everything, we all hope, of course, that 2021 will be (much) better. Let it be so! But before we dive into the new one, let’s take a glance back and remember 2020 as is, with the help of great data visualizations.

The January 1st issue of DataViz Weekly invites you to look through the lists of the charts included in the year-in-review features on Visual Capitalist, Recode by Vox, FiveThirtyEight, and The Economist. Sneak a peek, and then check out the graphics.

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Latest Best Data Visualizations Worth Checking Out — DataViz Weekly

December 25th, 2020 by AnyChart Team

Merry Christmas everyone (who’s celebrating)! 🎄 Meanwhile: COVID, election, and environment — the topics quite symbolic for this year are in the spotlight of today’s, the year’s last DataViz Weekly. Don’t miss out on some of the latest best data visualizations!

Look at the list of projects featured on DataViz Weekly this time and keep reading to learn more about each:

  • Winners of the 2020 U.S. election by funding from Wall Street — Bloomberg
  • COVID-19 infection rates in prisons by state — The Marshall Project
  • Novel coronavirus strains in evolution worldwide — Reuters
  • River colors across the United States — Gardner Hydrology Lab at Pitt

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Building a Marimekko Chart with JavaScript

December 22nd, 2020 by Dilhani Withanage

A Marimekko Chart built with JavaScript displayed on a laptop screenWould you like to know how to easily create an interactive Marimekko chart for HTML5 based apps and Web pages using JavaScript? If yes, you are on the best path to learning this.

Also known as Mekko charts and market maps, Marimekko charts display numerical values that vary from 0% to 100% in its Y-axis. The most exciting part lies in their X-axis, which indicates the sum of values within categories. Each category’s width along the X-axis portraits the whole category’s contribution to a total of all data. In simple words, this is a type of a stacked chart that visualizes categorical data. Still, both the Y and X axes vary in a percentage scale by determining each segment’s width and height.

Are you a smartphone enthusiast and interested to look at the global smartphone shipments in 2019 by quarter and by vendor? Then especially follow the present tutorial as we are to visualize this market data in an elegant Marimekko diagram using simple JS chart coding techniques.

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New Graphics That Make Data Talk — DataViz Weekly

December 18th, 2020 by AnyChart Team

New Graphics That Make Data Talk - DataViz WeeklyGet ready for another dose of amazing charts and maps! DataViz Weekly‘s here to show you a set of new projects featuring graphics that make data talk — excellent examples of data visualization in action!

Here are this week’s picks:

  • Over 200 years of migrations in the American South — Edward Ayers, Nathaniel Ayers & Justin Madron
  • NBA fouls and violations, by referee — Owen Phillips
  • U.S. unemployment change, by occupation — Nathan Yau
  • U.S. hospital COVID-19 bed occupancy — Carlson School of Management at UMN

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Best New Data Visualizations in Overview — DataViz Weekly

December 11th, 2020 by AnyChart Team

Best New Data Visualizations in Overview | DataViz WeeklyWelcome back to DataViz Weekly, where we overview the best new data visualizations created by professionals. As always, let’s begin with a list of the projects we’re excited to put a spotlight on, and then take a closer look at each:

  • Exploring letter communication networks of the Tudor government in the 16th century — Kim Albrecht, Ruth Ahnert & Sebastian Ahnert
  • Tracking the most promising coronavirus vaccines — Bloomberg
  • Defining “essential” and “frontline” workers for vaccination — NYT
  • Understanding the U.S. energy use evolution since 1800 — RDCEP, UChicago

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How I Created a Sunburst Chart Using JavaScript to Visualize COVID-19 Data

December 8th, 2020 by Shachee Swadia

A tutorial on how to create a sunburst chart using JavaScript to visualize COVID-19 dataAlmost recovered from COVID-19 myself these days, I decided to explore how the world is currently doing, during the pandemic. So I created a sunburst chart to see at a glance what continents and countries are more (and less) affected by the coronavirus than others. The process was quick and I thought someone could be interested to learn about how such data visualizations can be built in a pretty straightforward way, even with very little technical skills. So I also made a tutorial. And here I am — (1) sharing my interactive sunburst chart of COVID cases and (2) describing how I created it using JavaScript in a matter of minutes, step by step!

My JS sunburst chart provides an overview of the situation as of November 24, 2020, and also shows the global count, continent-wide data, and country-wise proportions for the current active COVID-19 cases and deaths. Scroll down to explore it by yourself and check out the tutorial along the way. Here is a sneak peek of the final chart to get you excited:

JavaScript Sunburst Chart to be created

This sunburst charting tutorial is mainly for beginners to data science. So before we get to business, let’s make sure we’re on the same page. I’ll explain what a sunburst chart is and how it works, to start with. Then I’ll show you how to create a cool and colorful interactive visualization like that with JavaScript (and you can do it even if you don’t know it too well). That’s the plan!

Read the JS charting tutorial »