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Archive for February, 2022

Beijing Olympics Medal Trackers — DataViz Weekly

February 25th, 2022 by AnyChart Team

Beijing Olympics Medal Trackers in DataViz WeeklyFollowing sixteen days of thrilling, action-packed competition, the Beijing 2022 Winter Olympics officially came to an end on Sunday, February 20. Norway finished at the top of the leaderboard, with 16 gold and 37 total medals won by its athletes at the Games.

During the Tokyo 2020 Summer Olympics that took place just six months before, we published a special edition of DataViz Weekly looking at four awesome medal trackers produced by The New York Times’s The Upshot, Bloomberg, Axios, and FiveThirtyEight. These interactive data visualization projects were brought back for the Beijing 2022 Winter Olympics. So now, we invite all lovers of charts and sports to look at their newest editions. They offer a frictionless way to explore medal counts and country standings after the Games with the help of stunning visualizations.

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Building Stock Chart with JavaScript

February 24th, 2022 by Shachee Swadia

Building a Stock Chart with JavaScriptData visualization is vastly applied in various fields. One such domain is financial trading, where stock charts are essential for smart market data analysis and decision making. Whether you invest in stocks or not, I am pretty sure that you have come across such graphics or even might need to build one right now. So, would you like to know how to make a stock chart? I’m ready to show you an easy path using the Tesla stock price data and JavaScript! Come along with me throughout this tutorial and you’ll learn how to quickly create elegant, interactive JS stock charts like the one you see in the picture.

Read the JS charting tutorial »

Check Out These Great New Visual Data Stories — DataViz Weekly

February 18th, 2022 by AnyChart Team

Check Out These Great New Visual Data Stories | DataViz WeeklyEager to see some great visualizations? We’re here to tell you about four new data stories that are definitely worth checking out! See which projects made it to this DataViz Weekly and read on.

  • Bubble tea versions in a visual breakdown — Taiwan Data Stories
  • Age of democracies worldwide — Our World in Data
  • Women in news headlines — The Pudding
  • Redlining’s lasting legacy — FiveThirtyEight

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SunnyByte Chooses AnyChart for Native American Cancer Data Visualization

February 16th, 2022 by AnyChart Team

SunnyByte Chooses AnyChart for Native American Cancer Data VisualizationOut-of-the-box error bars and the ability to create a cool error chart without hassle have always been a major attraction of AnyChart, among other great features prompting developers to choose our JavaScript charting library. If you want to look at some real-world examples of such visualizations in action, Shen DeShayne, a partner at SunnyByte has recently brought a new interesting use case for them to our attention. The American Indian & Alaska Native Cancer Data website, his web development agency built for the University of New Mexico, represents information in interactive error charts powered by AnyChart. Learn more about the project and how our JS library is used, from a quick interview. (Stack: Craft CMS/Vue.js.)

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Recalling Most Awesome Recent Data Visualizations — DataViz Weekly

February 11th, 2022 by AnyChart Team

Recalling Most Awesome Recent Data Visualizations — DataViz WeeklyIt’s Friday, time to recall the most awesome data visualizations of all that have caught our attention over the past week. So everyone, welcome to DataViz Weekly!

  • Decline of English on Spotify — The Economist
  • English Premier League contenders for the Champions League qualification — The Athletic
  • Carbon footprint of food — Der Tagesspiegel
  • Air temperature change in every U.S. county — The Guardian

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How to Create Calendar Chart in JavaScript

February 11th, 2022 by Shachee Swadia

Creating a Calendar Chart in JavaScript for a Website, Page or AppA calendar chart is an effective way to represent activity over time graphically. It can nicely display how a quantity varies with the days, weeks, months, and years. If you want to learn to build stylish interactive calendar charts easily using JavaScript, welcome to my step-by-step tutorial!

To make this guide not only educating but also entertaining, I decided to reproduce GitHub’s calendar graph and visualize the repository contribution activity of Mike Bostock, a prominent computer scientist known globally as one of the creators of the open-source JavaScript charting library D3.js and of the interactive data visualization development platform Observable. So, we’ll also get a telling picture of how he performed in that regard!

Read the JS charting tutorial »

Best New Charts and Maps Not to Miss — DataViz Weekly

February 4th, 2022 by AnyChart Team

Best New Charts and Maps Not to Miss in DataViz WeeklyAre you sure you have seen all the best new charts and maps? Let’s see. Check out our new DataViz Weekly roundup and make sure you have not missed these four fascinating data visualization projects!

  • Accuracy of Punxsutawney Phil’s and other animal meteorologists’ weather predictions — FiveThirtyEight
  • The coldest day of the year across the United States — NOAA NCEI
  • Tom Brady’s stellar career in American Football — The Upshot
  • Budapest street names — ATLO

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Creating Error Chart in JavaScript

February 3rd, 2022 by Shachee Swadia

JavaScript Error Chart of Perceived Threat of COVID-19 by Political AffiliationNeed a cool interactive error chart visualization for your web page or app? Let me be your guide! Follow this tutorial and you’ll learn how to easily create elegant interactive error charts using JavaScript.

Here, I will be visualizing data on COVID-19 threat perceptions in the United States during the first six months of the pandemic, by political affiliation. So you will also be able to explore the divergence in those attitudes between Democrats and Republicans. The data originates from the article “COVID-19 and vaccine hesitancy: A longitudinal study” published in the Plos One journal.

Read the JS charting tutorial »