Search Results for: survey industry

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Martina Dossi

A Matter of Time: Linking Job Titles to Data Visualization Tasks

Is there any difference in the amount of time we allocate to the different phases of a data visualization project, depending on our professional role?..
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.
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Sarina Chen

SPOTLIGHT: My Creation Process for the SOTI Dataviz Explanatory Challenge

I first heard about the Data Visualization Society’s State of the Industry visualization challenge when Loris Mat posted the design process behind his winning entry...
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Erica Gunn

An Insight-Informed View of DVS Education Opportunities

In July 2021, I joined the DVS Board as the Education Director. Since then, I’ve been doing some initial research to get clear on what..
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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...
A diagram illustrating the different phases of a project's lifecycle, represented in a diamond shape divided into four segments. Each segment is labeled with a different phase of the project: "Expand/Ideate" - This first segment, colored in purple, represents the beginning phase where ideas are generated and the project scope is expanded. It is marked with the note "Max risk of overwhelm," indicating that this is the stage where one might feel overwhelmed by the possibilities. "Focus/Consolidate" - The second segment, also in purple, follows the ideation phase and involves narrowing down ideas and focusing on the most viable ones. "Build/Produce" - The third segment, colored in blue, is where the actual product or project is built or produced. "Deliver/Deploy" - The final segment in blue represents the delivery or deployment phase of the project, marked with the word "Success!" A vertical axis labeled "Size of Project" shows an upward direction indicating growth or expansion. At the bottom of the axis are the words "Question, interest, or idea," and at the top, the phrase "Plan for what to do and how to tackle (at least some of it)" is written, suggesting that as the project progresses, a more concrete plan is formed. A black dot is placed at the intersection of the "Focus/Consolidate" and "Build/Produce" phases with an arrow pointing to it marked with "You are here," suggesting that the viewer is currently at the transition point between these two phases. The arrow also has a note "Max risk of exhaustion," warning of the potential for burnout at this stage. The diagram serves as a conceptual roadmap for project management, indicating that the project is halfway through its lifecycle and cautioning against the common risks associated with each stage.S
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 1 in the Data Exploration Journey: Getting Oriented

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

What the DVS Team Did on Summer Vacation

Ever wonder what’s happening behind the scenes at DVS? What are the Board and Committees working on? What’s coming up soon?Here’s a bit about what..
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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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Claire Santoro

Getting to know… Jarrett C. Hurms

The dataviz community is broad and encompasses practitioners from a range of backgrounds, professions, and interests. In an effort to get to know the community,..
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Catherine Ramsdell

Data Literacy and General Education: A Potentially Perfect Partnership

In 2012, Harvard Business Review declared data scientist the sexiest job in the world. No one ever has declared general education the sexiest anything in..
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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.
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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Erica Gunn

Step 2 in the Data Exploration Journey: Going Deeper into the Analysis

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

What Does the Work of a DVS Board Member Look Like?

We’re excited to be accepting candidates for six open roles on the DVS Board for the 2022-2023 term. You can learn all about the nomination..
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Mary Aviles

Curiouser and Curiouser: Crafting Questions and Attending to the Answers

Adjacent skills—some of which are referred to as “soft” skills (such an inappropriately diminutive moniker)—can serve you both personally and professionally. My goal in this..