Search Results for: survey industry

Image of the book cover Present Beyond Measure. The cover has an image of an open book with a bar chart popping off the pages.B
Neil Richards

Book Review – “Present Beyond Measure” by Lea Pica

This book left me inspired to make better presentations, offering resources to deliver engaging slideshows with data-based information.
The Double Diamond design model has four stages: Ideate, Focus, Build/Produce and Delivery. In the double diamond, there's an arrow pointing to the very center of the two diamonds, which is right between Focus and Build. The callout text explains that this is where you plan for what to do and how to tackle (at least some of) it.S
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.
Hyper-realistic AI-generated image depicting a people's eyes gazing intently at intricate graphs and data, blending human and technological perspectives.M
Erdni Okonov

Making Dashboards Optimal for Human Brain Processing

How the science behind brain processing and active memory can help guide our dashboard and other data visual designs.
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Nightingale Editors

Career Paths in Data Visualization

Portraits of different career areas, and profiles of people who work in data visualization.
The Double Diamond design model has four stages: Ideate, Focus, Build/Produce and Delivery. In the double diamond, there's an arrow pointing to the very center of the two diamonds, which is right between Focus and Build. The callout text explains that this is where you plan for what to do and how to tackle (at least some of) it.S
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.
Vegetables labeled as materials we use in class like "academic papers" and "podcasts"T
Amy Cesal & Amanda Makulec

Teaching the Foundations of Data Visualization 

Thinking about teaching data viz? DVS co-founders Amy Cesal and Amanda Makulec share their thoughts on developing an overview class.
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Jiwon Kim

A Call to Women in Data Viz: Be a Techmakers Ambassador

After attending two conferences in May—DVS's Outlier and Google's I/O—Jiwon Kim reflects on how women can become more visible in tech fields.
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.
Image of a number-four helium balloon, with happy birthday text showing the Data Visualization Society turns 4.T
Amanda Makulec

The Data Visualization Society Turns Four Today. Here’s Our Birthday Wish

Happy birthday, DVS! Here's a look at all the things we are celebrating and what we have in store as we continue to grow and thrive
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Jason Forrest

The Telefacts of Life: Rudolf Modley’s Isotypes in American Newspapers 1938–1945

While Otto Neurath invented the Isotype in Vienna in 1925 and guided its evolution to international acclaim, he was not successful in the United States...
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Erica Gunn

Step 4 in the Data Exploration Journey: Knowing When to Stop

This article is part V in a series on data exploration, and the common struggles that we all face when trying to learn something new...
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Mark Palmer

How to Get Executives on Board with Data Visualization

Convincing senior executives to jump on the data visualization bandwagon isn’t as complicated as you think: here are five tips to get senior decision-makers on..
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Sarah Clark

What’s Cookin’?

Years ago, I took the advice of a famous writer whose name I can’t recall. He suggested that for an idea to be thoroughly examined,..
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Joseph Ricafort

Creating Personas to Identify Yourself in the Community and Data

In this post, I am going to walk you through the process of creating the Data Visualization Society State of the Industry Survey 2021 Challenge..
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Erica Gunn

Step 3 in the Data Exploration Journey: Productive Tangents

This article is part IV in a series on data exploration, and the common struggles that we all face when trying to learn something new...
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Letícia Pozza

Experimenting Can Lead to Great Dataviz

Encontre a tradução em português deste artigo aqui. Some may have the idea that creating an amazing data visualization requires the stars to align. But..