https://www.visualcinnamon.com/tags/city/Recent content in City on Visual CinnamonHugoen-usThu, 13 Aug 2026 15:01:54 +0200https://www.visualcinnamon.com/portfolio/skyscrapers/Mon, 31 Jul 2023 00:00:00 +0000https://www.visualcinnamon.com/portfolio/skyscrapers/<p>This self-initiated data visualization appeared in the <strong>third issue of <a href="https://shop.datavisualizationsociety.org/products/nightingale-magazine-issue-3-2023">Nightingale</a></strong>, the printed journal of the Data Visualization Society. The theme of the issue was <em>guidelines</em> and with this visual, I <strong>embrace one of the main &ldquo;taboos&rdquo; within data visualization: 3D (bar) charts</strong>. It is accompanied by a short article that explains how you can go beyond the guidelines and rules when you have the right reasons.</p> <figure class='portfolio__img-full-width' > <img src='https://www.visualcinnamon.com/img/portfolio/2023/skyscrapers/skyscrapers_full.png' alt='The data visualization showing the 100 tallest buildings in the world' loading="lazy"> </figure> <figure class='portfolio__img-full-width' > <img src='https://www.visualcinnamon.com/img/portfolio/2023/skyscrapers/skyscrapers_magazine_mockup.png' alt='The full spread with the article in the Nightingale Issue 3' loading="lazy"> </figure> <div class="portfolio__highlight" style='background-color: #e0421a' ><p>Using a 3D perspective in data visualization is generally only to the detriment of the visual, and for good reason. However, when I started playing with the dataset of the 100 tallest buildings in the world, and noticed that they <strong>all fall within a rather narrow band of heights</strong> (apart from the tallest handful), I knew that <strong>comparing exact heights would not be the main point of visualizing this dataset</strong>. Instead, seeing that more than half of those buildings are in China, that most of them are offices, and which buildings once were the tallest (and for how long) became the insights that I wanted the visual to focus on.</p>