In this article, you will be exposed to ApexCharts and to the different types and variants of charts it provides. Along the way, we’ll build several types of charts and learn how we can customize the appearance of our charts.
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In this article, Suzanne Scacca proposes some ways to turn essential content into graphics to conserve space, create a more engaging UI and preserve the overall integrity of your content on mobile.
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Data analysis, tools and workflow are very helpful for UX designers in a data-driven world, especially for those working on visualizations or data products.
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For many people, a map of a transportation network is a given, an expected part of the system, something that just is — like a fire-escape plan in a building. So, when I say that I design transportation maps, they don’t understand. What is there to design even?
Well, let’s take the London underground map as an example. Designed by Harry Beck, it was the world’s first transportation map to use the principles of electrical circuit drawings. All line segments were put to the angles of 45 or 90 degrees. The distances between stations were equalized.
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As the number of chart types and approaches keeps growing, the things are getting worse, and sometimes even top experts get confused with identifying the goals of one chart type or another.
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When creating a mobile application, a developer imagines a model and the way users will use the application. One problem that developers face is that users do not always use an app the way it was envisaged by the developer.
How do users interact with the app? What do they do in the app? Do they do what the developer wants them to do? Mobile analytics help to answer these questions. Analytics allow the developer to understand what happens with the app in real life and provide an opportunity to adjust and improve the app after seeing how users actually use it. To put it simply, analytics is the study of user behavior.
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When I was young and learning to program, I was fascinated by the possibility of creating things that could live inside my monitor. I had the same feeling when I started to play with procedural content generation, which is to find the rules behind a phenomenon, encode them in an algorithm, and use that algorithm to create something virtual, but realistic — a plausible simulation.
Typically, you can give a seed or some initial parameters to a procedural content generation algorithm, and get some result. You could generate the landscape of a city, the shape of a tree or an entire world.
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Data visualization is on the rise. Publishers around the world — individual bloggers and major online publications alike — are realizing that charts, maps and combinations of the two can convey a message far more effectively than plain numbers can.
From simple charts to fancy infographics to complex timeline animations, data visualizations are popping up all over the Internet. However, as in any other area, once everyone gets on the train, distinguishing yourself from the pack becomes hard.
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The list of charting libraries for the web is already quite long, and you might ask yourself why we would need to make it any longer. Whenever you need to develop an application’s dashboard, embed some usage statistics or simply visualize some data, you will find yourself looking for a charting library that fits your needs.
Chartist was developed for a very particular need: to create simple responsive charts. While other charting libraries do a great job of visualizing data, something is always missing to satisfy this simple yet demanding need.
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The web is growing up. We are building applications that work entirely in the browser. They are responsive; they have tons of features and work under many devices. We enjoy providing high-quality code that is well structured and tested.
But what matters in the end is the impact for clients. Are they getting more products sold or are there more visitors for their campaign sites? The final results usually show if our project is successful. And we rely on statistics as a measuring tool. We all use instruments like Google Analytics. It is a powerful way to collect data. In this article, we will see a CSS-only approach for tracking UI interactions using Google Analytics.
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