Tag: Data Visualization

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India Johnson & Nightingale Editors

Dear Nightingale: Raveling Data

Can you transform a piece of fabric into a data viz by unraveling it? In this challenge, feel free to cut, pick, and pull meaning out of a textile.
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Nightingale Editors

Data Is Plural Visualization Challenge: Project Dialogism Novel Corpus

Ready to dig into a good book? This iteration of the Data Is Plural Visualization Challenge features the Project Dialogism Novel Corpus.
A highly complex graphic where the x-axis is population density (people per km^2) and the y-axis is energy consumption per person (kWh/d/p) Both axis are onlog scales. The countries are shown as colored bubbles that are sized according to land area. Diagonal lines show power consumption per unit of area.D
Satya Amaran

Defying Chart Design Rules for Clearer Data Insights

Sir David MacKay, a UK scientist, challenged conventional chart design and created a truly insightful data visualization about sustainable energy.
Photo of students grouping colored squared pieces of paper together on a table.W
Antonia Hadjimichael

Weaving Data Viz Into Science and Engineering Education

A Penn State course introduced STEM students to data visualization, teaching them design fundamentals and how to be supportive practitioners.
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Elena Etter

Data Visualization: A Subjective Lens on Reality

An analysis of three elements that influence data visualization  and that render the underlying data to be more subjective than objective.
A photo of the wall straight-on, with a sign that says "The National COVID Memorial Wall."T
Duncan Bradley

Taking Time Is an Effective Way To Process Large Numbers

A striking memorial to the victims of COVID-19 in the UK reveals a neglected temporal dimension of data visualisation.
A view of the final dashboard. At the top are the filter buttons to select countries by characteristics (region or income) and a shuffle button that randomized the selection for you. Below that is the radial diagram and to its right is a dot plot, allowing for a deeper dive into the metric.F
Lindsey Poulter

Finding The Right Elements For an Award-Winning Dashboard

Lindsey Poulter won the World Data Viz Prize using a mix of dashboard features—including a shuffle button to randomize the view.
Details from an infographic and magazine article, showing the Warming Stripes on a page in the background with another page showing a red-and-blue polar bar chart laying over the topT
Chesca Kirkland

The Making of “The Growing Influence of the Warming Stripes”

Chesca Kirkland shows the process behind her visualisation—from Nightingale Issue 2—that explores the growing influence of the Warming Stripes.
Cohabitation network (a collection of circled nodes connected by lines) where each node is a mammal. There are 5,286 nodes and 62,385 edges colored by the continent of the animal's primary habitat. The colors are shades of browns, blues and grays. The nodes are more clustered by color here than in the country-level network.U
Milán Janosov

Using Color to Interpret a Complex Network of Threatened Species

In a busy network diagram of threatened land mammals, different color treatments show how the animals' habitats are geographically connected.
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Marília Ferreira da Cunha

Everything You Wanted To Know About The DVS 2023 Outlier Conference

Outlier is around the corner! Catch up on what's on the agenda and how to make the most out of the experience—whether in-person or virtual.
A slightly more zoomed in photo of the wall with the strings. The strings create a type of Sankey diagram. The strings start on the far left, grouped as either student or staff, then proceed to the next column in the grid—year group they are representing—then travel to a third column with options for number of assessments, and finally end at the type of preferred assessment (coursework, exam or both.)T
Elisavet Andrikopoulou

Touching Data: Conducting a Survey With Paper and Thread

To collect data on how students preferred to be graded, a professor ran a physicalization exercise that collected and visualised the results.
Image of the double diamond model which shows the steps in tackling design projects. The leftmost point of the first diamond is "question, interest or idea." The designer then travels through the "expand/ideate" phase to reach the top of the first diamond, which is "max risk of overwhelm." Then, the designer travels down from that top point in the "focus/consolidate phase," which is the phase in which this column about collaboration is most relevant. The next phases (in the second diamond) are in light gray font, suggesting that those steps are yet to come, but they include "building/producing" and "deliver/deploying").S
Erica Gunn

Step 5 in the Data Exploration Journey: The Magic of Collaboration

A good collaborator offers companionship, a fresh perspective, and can help balance skillsets. Here's how to make a collaboration successful.
A visual of the information graphic showing 200 countries as flowers of different sizes, with size representing GDP. Each flower is placed roughly in the geographic location of the country on a flat world map. Each flower has six petals, each representing a metric of governance. Each petal has 10 concentric petals within it, representing years from 2012 to 2021. Each petal is color coded on a shaded scale of red (worse) to white (middle) to blue (better).V
Andrzej Leszkiewicz

Visualizing World Governance Data as a Flower Garden

How to create a floral-themed visualization with Power BI tools that captures how we govern our world.
Book Cover: "Don't Make Me Think, Revisited: A Common Sense Approach to Web and Mobile Usability" by Steve Krug.R
Romana Popocovski

Review: Don’t Make Me Think, Revisited

Written for designers, the book breaks down the key principles of intuitive navigation and information design for web and mobile applications.
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Melissa Malguy

Visualizing Metal and Mayhem

Geared for modern day metal cover bands, this data viz project layers data from different sources to show which bands rock the charts.
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Nightingale Editors

Dear Nightingale Submissions: Physical Inspiration Train

This data visualization challenge was to create a "physical inspiration train" quantifying objects' attributes. Check out the submissions!