It’s time for DataViz Weekly! Check out the most interesting data visualizations that have recently come to our attention!
This article presents an easy-to-follow guide for building an interactive linear gauge chart in JavaScript.
We’ll show how to quickly create a cool and interactive linear gauge chart that highlights Covid-19 vaccination data around the world. Our chart will allow us to visualize the status of Covid-19 vaccination at the time of writing, and will display two types of data — showing how far away we are from the halfway target of both partially and fully vaccinating the global population.
When properly visualized, data can truly speak and tell stories allowing us to quickly decode what raw numbers hide. Would you like to see some clever examples? Look at the awesome new charts and maps that made it to this Friday’s DataViz Weekly!
For all who already have an eye for data visualization or only want to get it, DataViz Weekly is here with an overview of four new interesting projects curated from around the web!
Read on to learn more about each and check them out!
Data visualization is not only useful for communicating insights but also helpful for data exploration. There are a whole lot of different chart types that are widely used for identifying patterns in data. One of the lesser-used chart types is Word Tree. It is a very interesting visualization form, quite effective in analyzing texts. And right now, I will teach you how to quickly create nice interactive word tree charts using JavaScript.
Word trees display how a set of selected words are connected to other words in text data with a branching layout. These charts are similar to word clouds where words that occur more frequently are shown bigger. But they are different in the sense that word trees also show the connection between the words, which adds context and helps find patterns.
In this tutorial, I will create a lovely word tree from the text of the very famous book The Little Prince by French aviator and writer Antoine de Saint-Exupéry. Check out a demonstration of the final chart below and keep reading to learn how this and any other interactive JS word tree can be built with ease.
Looking for awesome examples of visual data stories? You’re in the right place at the right time! In this edition of DataViz Weekly, we feature four impressive new ones we’ve come across these days:
Sunburst charts are known to be greatly useful for visualizing hierarchical data structures. So it is no surprise that this chart type became a big hit among our users immediately after we added it to the AnyChart JavaScript library. Because the core of our global customer base is enterprise clients, most of the real-world use cases for our JS sunburst chart are hidden in internal corporate apps. But AnyChart is often picked for data visualization in open projects as well, and we invite you to see a super cool example we have recently found out about — Redis Inventory. It is an open-source tool that makes it easy to view Redis memory usage by key patterns in a hierarchical way, with an interactive sunburst chart in action.
Learn more about Redis Inventory and how AnyChart is used there from our quick interview with its creator Aleksandr Obukhov. (Stack: Go/Cobra/Redis.)
Hey everyone! It is Friday, and we are here to put a spotlight on the most compelling examples of sensible data visualization we have recently seen around the internet. As always, let’s start with a quick list and then look at each project. All aboard for DataViz Weekly!
A connector map is a set of straight or curved lines that link points on a geographical map. It is commonly used to graphically represent routes or any other connections between locations. Would you like to learn how to build an attractive data visualization like that for a web page or app?
Actually, it is easy to create an interactive connector map using JavaScript. And I am ready to show you how right now! Follow along with this tutorial as I depict the cycling path of the 2021 Tour de France in the form of a JS connector map and thoroughly explain all steps.
We continue to choose the most interesting out of all the newest data visualizations published here and there and show you them in weekly roundups. It’s time to look at our fresh selection! This time, the following projects are featured in DataViz Weekly: