chart planet
data-human interaction
We do want to make beautiful dashboards because beauty is attractive, looks tidy, reliable and helps to create impact with our visualizations. But beauty is also just a package – the value of a dashboard is in the way it helps to read the data intuitively. Forgetting all other things except beauty might lead to poor readability and a confusing experience overall, in other words makes users more frustrated than happy.
CONTINUE >>>“Considering the audience” is one of the most important pieces of advice in storytelling and data visualisation. It is generally suggested to think about their needs, goals, and ability to understand the items displayed in the visual.
This allows our message to reach them more easily and resonate with them better, but the idea of “considering the audience” itself is quite vague.
In this article, I will turn the vague suggestion “consider the audience” into something more checklist-like, which you could go through and consider the audience “considered”.
What if your client or stakeholder asks to make the dashboard you prepared to be more eye-catching, beautiful, or just cool? In such cases, we have one job – a very subtle one – to enhance UI without sacrificing UX, dataviz or information designs, maybe even enhancing them altogether.
CONTINUE >>>You can find maybe 1000 articles with “most important”, “essential” or “golden” rules of data visualization and their set will be unique every time.
Here, I will try to extract principles for data visualization from the underlying reasons why data visualization is even a thing.
Tableau is famous for following the best of the best practices in the DataViz world, but there are still plenty of ways to make misleading charts.
CONTINUE >>>Are the default settings more universal or less universal? Do different vendors have different attitudes towards what should be the default setting?
CONTINUE >>>Managers rarely have time to thoroughly explore financial presentations, that is why you need to make as much information available as quickly as possible — an easily readable data-dense visualization serves this purpose well. In my pursuit to make denser bar charts, I found five techniques that I will share here.
CONTINUE >>>I tried finding a better way to visualize profit loss statement solving some limitations of waterfall and sankey charts.
CONTINUE >>>Radial charts are far from best practices, so if a tool has them, we can consider it to be flexible enough. May this article serve you as a helpful reference.
CONTINUE >>>Stacked Bars have one major weakness, it’s difficult to compare changes of its segments over time. I tried finding a way to improve it.
CONTINUE >>>The pie chart faces a tremendous amount of criticism for attempts to show part to the whole relations. Here I will offer an alternative which is something like a mix of square pie chart, marimekko and packed bars.
CONTINUE >>>How does one draw the dynamics of a changing curve? This article will be dedicated to experiments of drawing the evolution of the whole yield curve over time.
CONTINUE >>>Imagine the situation – we want a beautiful and interactive chart on our website but have no knowledge of D3 or other fancy stuff, so, to pick a solution I am quickly trying them all and making a recommendation based on this experience.
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