December 15th, 2021 by Shachee Swadia
Data visualization is a must-have skill today with ever-growing data and the need to analyze as well as present that data. You will definitely come across data charts whether you are in the technology industry or not and therefore, it is a good idea to learn how to build visualizations.
I will show you here that building charts is not very tough and with the right tools, you can start creating interactive, interesting visualizations in little time and effort!
In this step-by-step tutorial, I will demonstrate how to represent GDP values of various countries for the past 15 years on a beautiful interactive 3D surface chart using a JavaScript library for data visualization.
The surface plot looks quite complex, but I will show you how straightforward it is to make a compelling and fully functional one.
Read the JS charting tutorial »
December 10th, 2021 by AnyChart Team
If you love good data visualizations as much as we do, come join us in reviewing some of the most interesting ones we’ve recently come across, in the new issue of DataViz Weekly!
- Global inequality in COVID-19 vaccine supply and demand — The New York Times
- U.S. heat data maps — Erin Davis
- Racial disparity in pandemic unemployment benefits in Georgia — Bloomberg
- Political progressiveness across San Francisco’s neighborhoods — The San Francisco Chronicle
Read more »
December 7th, 2021 by AnyChart Team
Excited to tell you we’ve just pushed a major update to our JavaScript charting library! The newly arrived features and improvements make our core solution even more flexible, adding awesome fresh capabilities designed to further help you on your data visualization development journey. Intrigued? Let us show what’s new in AnyChart JS Charts 8.11.0 right away!
»»» See What’s New in AnyChart 8.11.0! «««
December 3rd, 2021 by AnyChart Team
For this DataViz Weekly, we have curated a collection of wonderful new visual storytelling examples from around the web. Take a look through and check them out!
- Rapid urban growth in Africa — The Washington Post
- Maritime activities in the North Sea — TU Delft
- All provisions of the Build Back Better Act — The Upshot
- Climate pledges after COP26 — The Guardian
Read more »
November 26th, 2021 by AnyChart Team
It is much easier to analyze large amounts of data when they are represented using the right visualization techniques. We are ready to show you another four vivid examples! Today on DataViz Weekly:
- Population and racial changes in the United States — Pitch Interactive & Census 2020 Data Co-op
- Box office for cinema-exclusive and simultaneous release movies — FT
- Global extreme urban heat exposure — AP News
- Most common daily time uses — Nathan Yau
Read more »
November 19th, 2021 by AnyChart Team
It’s Friday and time for a fresh dose of stunning data visualizations! In this DataViz Weekly roundup, we are going to show you four new projects worth checking out.
- Maternal health risks across the United States — Surgo Ventures
- Impact of human sewage on coastal ecosystems — UCSB & Columbia University
- Deepavali snacks and sweets — Kontinentalist
- U.S. highway signs indicating destination cities — Matt Dzugan on Observable
Read more »
November 12th, 2021 by AnyChart Team
Hi everyone! DataViz Weekly is here to introduce you to some awesome new data visualizations that we have recently found out there and admired!
- Inflation in America — The Washington Post
- Carbon dioxide emissions by country — Reuters
- Shifts in how much U.S. men and women work — Nathan Yau
- Sustainable palm oil problem — Bloomberg Green
Read more »
November 11th, 2021 by Shachee Swadia
Polar charts often look impressive, which makes some people think that creating them is a tricky process demanding plenty of skills and expertise. Well, I am going to debunk this myth right now! Let me show you how to easily visualize data in a beautiful interactive JavaScript Polar Chart.
Fundamentally, a polar chart is a variation of a circular graph drawn with polar coordinates. It can also work well to visualize some sorts of categorical data for comparisons, which is exactly the case I want to demonstrate now. In this tutorial, I will build a column polar chart, with the bars growing from the center of the diagram to represent values with their length.
Data Visualization Society (DVS) conducts an annual State of the Industry survey of data viz practitioners, and I thought it could be a great opportunity to play with some of its latest data. In particular, I wanted to look at the most popular technologies used for data visualization based on the responses. So here, I will produce a JS polar chart that plots the top 15 ones, making up a cool illustrative real-world example.
It will be fun — come along, everyone!
Read the JS charting tutorial »
November 5th, 2021 by AnyChart Team
Ready for a new portion of amazing charts and maps for inspiration? We’ve got it for you right here! Join us today on DataViz Weekly as we look at four new visualizations that definitely deserve your attention.
- Greenhouse gas emission pathways and climate goals — The New York Times
- U.S. drought extent patterns by region since 2000 — Scientific American
- Cancer-causing industrial air pollution across the United States — ProPublica
- European natural gas pipeline infrastructure — The Financial Times
Read more »
October 29th, 2021 by AnyChart Team
Welcome back to DataViz Weekly, a regular series of posts on AnyChart Blog putting a spotlight on the coolest data visualization works we have come across over the last few days! Today, we’re glad to feature and tell you about the following projects:
- Mapping historical New York City — Columbia University
- Tracking the Lenna image — The Pudding
- Analyzing the number of doctors in England — Sky News
- Charting TV genres over time — Nathan Yau
Read more »