Tag: Data Literacy

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...
A book cover which reads "The Data Storyteller's Handbook: How to create business impact using data storytelling by Kat Greenbrook" along with diverse illustrations of different people kindly interacting, a kiwi and a penguin.B
Neil Richards

Book Review – “The Data Storyteller’s Handbook”

Learn more about Kat Greenbrook's latest book while diving into her process behind its creation.
An image of a fake newspaper article that says "Mass Panic" and includes a map of red and blue states. Dogs wearing blue suits are on one side of the paper and cats wearing red are on the other.D
Eli Holder

Divisive Dataviz: How Political Data Journalism Divides Our Democracy

Recent dataviz research shows how the most popular tropes in political data journalism can distort the democratic process.
An image of two dashboards. One is partly covered by a sad face emoji, the other partly covered by a happy face emoji.W
Alex Kolokolov

We Cannot Give Up on the Data Viz Renegades!

Data viz renegades are often resistant to learn how to properly visually communicate the data that they work with. Here's how to help them.
The warming stripes of Poland, with colors on a gradient moving from blues to redsC
Monika Fratczak

Can Datavis Make Unpalatable Data More Enjoyable?

I studied emotional reactions to climate-related data visuals. Certain visuals evoked positive feelings—despite the unsettling topic.
AI-generated image of a brown dog wearing a suit with sunglasses. The glasses have lenses that are shaded blue and red.T
Eli Holder

Through a Partisan Lens: How Politics Overrides Information

A political psychology primer for information designers.
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.
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.
Cover of Jordan Morrow's "Be Data Analytical: How to Use Analytics to Turn Data into Value"A
Joshua Pine

An Interview with Jordan Morrow, Author of “Be Data Analytical”

In his latest book, Morrow explores how data can influence decision making. Here's a peek at what's inside—plus, a Q&A with the author.
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Agnes Vilia, Aquila Adimurti, Regina Nurashari & Arran Ridley

Teaching Data Visualisation to Middle Schoolers in Jakarta

The class allowed students to see data as not just a result of gathering facts from the world, but as a tool to make meaning of reality.
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.
Cover of the Book "Friends Beyond Measure" featuring an illustration of two children sitting on a stack of multi-colored bars. One of the children is drawing dots on the wall behind them.L
Ana Paula Lamberti Bertol

Lalena Fisher: Telling A Children’s Story With Infographics

An interview with children's author Lalena Fisher, whose latest book introduces kids to charts and diagrams that tell a story of friendship.
Photo of fellowship recipients posing with leaders of Baraza Media Lab and Fringe Graph (10 people).D
June Injete

Data Storytelling Is Empowering Female Journalists in Kenya

A fellowship program is teaching Kenyan journalists to use data sources and data analysis to do investigative work. Here are three examples.