Review: Data Visualization with Microsoft Power BI: How to Design Savvy Dashboards
Alex Kolokolov and Maxim Zelensky say that there are three types of vizzer—business analyst, infographic creator, and data journalist. Are you clear about which you..
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Alex Kolokolov
Interviewing AI Assistants for Data Visualization
In today’s world, you need to run very fast just to stay in place. Technology is developing at an incredible speed, but I don’t believe..
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Mina Mani & Konrad Schönborn
Tracing Carbon: Visualization for Systems Thinking
Systems thinking is fundamental for understanding complex problems. Addressing twenty-first century challenges like climate change requires comprehending how different components of Earth systems influence each..
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datacitron
Good Morning Data #5 | The Half-Full Learning Curve
The Half-Full Learning Curve or “Could we be happy with what we already know?“I sighed at the sight of the calendar I was holding in my..
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Darren Shearer
Above the Averages
When analysing workforce data, age is often a critical metric that provides insight into the overall health and future trajectory of an organisation. However, simply..
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Christopher Laubenthal
Hidden Design: The Notes We Don’t Play
The complexity tooltips provide design has always held my attention. Tooltips are about the audience responding to our work! They allow us the opportunity to make certain information accessible indirectly, only discoverable if certain actions are taken.
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Kaushik Kompella
Tips & Tricks to Improve your Dashboard Design
Learn how to use data context, visual flow, color, typography, and appeal to create engaging data visualizations for business users.
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Christopher Laubenthal
Rapid Fire: Scaling a Portfolio with Design Components
There are many ways that can speed your development cycle from data cleanliness to clarity of your user’s needs. My efficiency lay in the use of component-driven design.
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Kristin Baumann
Recreating Historical Dataviz: Three Tricks I Learned In The Du Bois Data Visualization Challenge
With the analogy of a client project, I wanted to deliver the recreations as close to the original as possible using my tools of choice (D3.js and Svelte).
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Christopher Laubenthal
Internal Design: Success Requires Form and Function
My journey with EdWise and the Career Explorer Tools taught me about generating change using innovative data visualization within an organization.
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Erica Gunn
Step 8 in the Data Exploration Journey: Build
This article is part 9 in a series on data exploration, and the common struggles that we all face when trying to learn something new...
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Erica Gunn
Step 7 in the Data Exploration Journey: Spin-Off Projects
With large projects, it's common to pursue spin-off ideas for the material that doesn't fit into the core project. Here are two examples.
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Krisztián Szabó
Making “The Pope on the Road,” an AI-Driven Interactive Site
Using ChatGPT and AI-generated images to build a scrollytelling story about Pope Francis's visit to Hungary.
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Elsa Richard
A Crowdsourced Geodata Project Is Aiding Education Efforts in Tanzania
A geodata project helped diagnose problems with education access in Tanzania, allowing education stakeholders to devise solutions to boost school attendance.
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Erica Gunn
Step 6 in the Data Exploration Journey: Cut to Realistic Scope
A project to find insights from DVS's State of the Industry Survey data moves from the analysis stages to preparation for build out.
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Theresa-Marie Rhyne
The Generative AI Blues: Choosing Data Color Schemes with Adobe’s Firefly
Follow these steps to explore color choices with Adobe Firefly, a creative generative AI model. Plus: the color theory behind the process.
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