This article covers the best tips and recommendations on the elements to pay attention to, the rules to follow, and life hacks to get around certain difficulties in table design.
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In this article, Sara Dholakia presents a guide on how to choose just the right type of data visualization, with guidelines and things to keep in mind.
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All the data in the world won’t do anyone any good if we can’t make sense of it. Or better yet, make it sing. Here are some stunning examples of data visualization in the wild, and some pointers on how to start making your own.
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Dribbbleshots just might be the hotbed of questionable dashboards. Striking visuals, little context, and no research: all recipes for mediocrity. Mediocrity won’t do. We’ll pursue greatness. And in that pursuit, we’ll cover research, decluttering, and data visualization.
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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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