Dashing Data Viz - Issue 235
Curated news, articles and jobs related to Data Visualization.
April 25 2023
Hello and Happy Tuesday! :)
This is Sebastian, curator of the Dashing Data Viz newsletter.
Once a week I write this email to share the links I thought were worth sharing.
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And now, let's dive into this week’s links:
Data Visualization Articles & Videos
Notable: On-the-fly Assistant for Data Storytelling in Computational Notebooks
We designed Notable to offer on-the-fly assistance for data storytelling in computational notebooks. It provides intelligent support to minimize the work of documenting and organizing data findings and diminishes the cost of switching between data exploration and storytelling…
Chart Reader: Accessible Visualization Experiences Designed with Screen Reader Users
Chart Reader is a prototype accessibility engine that renders accessible data visualizations. Our goal is to enable screen reader users to navigate and consume a chart as a data experience by synthesizing hierarchical navigation, sonification, and cross-cutting insights. Through multiple modalities, Chart Reader addresses user preferences for consuming a chart and the underlying data…
DataPilot: Utilizing Quality and Usage Information for Subset Selection during Visual Data Preparation
DataPilot presents visual cues about "the good, the bad, and the ugly" aspects of data and provides graphical user interface controls as interaction affordances, guiding users to perform subset selection. Through a study with 36 participants, we investigate how DataPilot helps users navigate a large, unfamiliar tabular dataset, prepare a relevant subset, and build a visualization dashboard. We find that users selected smaller, effective subsets with higher quality and usage, and with greater success and confidence…
Read the poem “The Artful Symphony Of Data Visualization” by our MBA student Harsh Prakash on the KSOM Blog…As we traverse the ever-growing landscape of data, it’s essential to find meaning, purpose, and insights within the numbers that inundate our daily lives. I’d like to share a poem that captures the essence of data visualization, celebrating the union of art and science in this powerful practice…
Working with percentages is very common, and one of the most challenging parts of designing data visualizations is coming up with new ways to visualize your data. I created this reference sheet for my classes and workshops to give them some ideas for different ways to visualize percentage data, and help them break out of using pie charts all the time…
How intrepid Victorian surveyors mapped the length and breadth of Britain
It was not until the 19th century that Ordnance Survey (os) created the first comprehensive, detailed picture of Britain. Just as today’s paper os maps fit together in a jigsaw that stretches over the country, when os began its cartographic project around 1800 it progressed sheet by sheet. The task would take eight decades and involved considerable hardship for the hundreds of surveyors employed to carry it out. We have pieced together these early maps, in a method pioneered by Living with Machines, a research project, to illustrate how the first efforts of os, rooted in military threats, adapted to keep up with a country being transformed by the Industrial Revolution…
Force-Directed Graph Adjusted to ViewPort
A common problem I have with D3.js force network data visualizations is that centering forces distribute nodes in a circle, so they tend to disappear in a rectangular ViewPort Simple hack 💡: use different strengths for the forces relative to the aspect ratio…
RAPIDS Visualization Guide
RAPIDS provides unmatched speed with familiar APIs that match the most popular PyData libraries. Built on the shoulders of giants including NVIDIA CUDA and Apache Arrow, it unlocks the speed of GPUs with code you already know…330 million+ datapoints rendered in under 1.5s via RAPIDS + Plotly Dash 2020 Census Demo…
A visualized guide to load balancers, showing how different load balancer algorithms work
In this post we're going to focus on the ways that a single load balancer might distribute HTTP requests to a set of servers. We'll start from the bottom and work our way up to modern load balancing algorithms…
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