55 posts
The why axis

A few weeks ago, I replied to a tweet by someone who was angered by the amount of bad graphics about coronavirus. I take a glass-half-full viewpoint: it's actually heart-warming for  dataviz designers to realize that their graphics are being read! When someone critiques your work, it is proof that they cared enough to look at it. Worse is when you publish something, and no one reacts to it. That...

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Datylon Graph is a visualization extension for Illustrator

Adobe Illustrator has charting functions that can be useful if you’re on a deadline. Make a quick chart, design, and publish. However, if you want to reuse the chart with new data or need to use a more complex chart type, it’s usually been better to use different software and then come back to Illustrator to adjust. Datylon Graph is an extension that aims to make it easier to stay...

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CineShader, for cinematic shaders

From Lusion, CineShader is a fun editor for those who are familiar with Shadertoy: CineShader is a real-time 3D shader visualiser. It leverages the API to bring thousands of existing shader artworks into a cinematic 3D environment. The whole project was started as an idea of using a web demo to explain what procedural noise is to our clients at Lusion. After sending out the demo to some of...

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Presidential Hopefuls screensaver bounces heads around based on polling data

I know you don’t get enough election coverage these days and are probably like, “I wish there was a way I could be reminded of who’s running with bouncing heads across my screen whenever I come back to my computer. That would be super.” Well, look no more. The Presidential Hopefuls screensaver by Robert Tolar Haining is what you’re looking for. Tags: election, screensaver

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Cleaning your data with Excel and Google Spreadsheets

For Datawrapper, Lisa Charlotte Rost outlines the steps to prepare and clean your data in Excel or Google Spreadsheets. From the beginning: When you download an Excel file, it often has multiple sheets. Our data set has three of them, as seen on the bottom: “Data”, “Metadata – Countries” and “Metadata – Indicators”. Look through all of your sheets and make sure you understand what you’re seeing there. Do the...

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Microsoft’s visual data explorer SandDance open sourced

Microsoft just open sourced their data exploration tool known as SandDance: For those unfamiliar with SandDance, it was introduced nearly four years ago as a system for exploring and presenting data using “unit visualizations.” Instead of aggregating data and showing the resulting sums as bar charts, SandDance shows every single row of a dataset (for datasets up to ~500K rows). It represents each of these rows as a mark that...

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Book review: Visualizing Baseball

I requested a copy of Jim Albert’s Visualizing Baseball book, which is part of the ASA-CRC series on Statistical Reasoning in Science and Society that has the explicit goal of reaching a mass audience. The best feature of Albert’s new volume is its brevity. For someone with a decent background in statistics (and grasp of basic baseball jargon), it’s a book that can be consumed within one week, after which...

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Runway ML makes machine learning easier to use for creators

Machine learning can feel like a foreign concept only useful to those with access to big machines. Runway ML aims to make machine learning easier to use for a wider audience, specifically for creators. It provides a click-and-drag interface that lets you link algorithms, import datasets, and most importantly, experiment. Looks like fun. Give it a go. Tags: machine learning

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Webinar Wednesday

I'm delivering a quick-fire Webinar this Wednesday on how to make impactful data graphics for communication and persuasion. Registration is free, at this link. *** In the meantime, I'm preparing a guest lecture for the Data Visualization class at Yeshiva University Sims School of Management. The goal of the lecture is to emphasize the importance of incorporating analytics into the data visualization process. Here is the lesson plan: Introduce the...

0 0, an open source tool for mapping large-scale data, a collaboration between Uber and Mapbox, allows for easier mapping of large-scale data. From Shan He for Uber: Showing geospatial data in a single web interface, helps users quickly validate ideas and glean insights from these visualizations. Using, a user can drag and drop a CSV or GeoJSON file into the browser, visualize it with different map layers, explore it by filtering and aggregating it, and eventually...

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