nightingale

Three Questions with… Elijah Meeks
https://nightingaledvs.com/three-questions-with-elijah-meeks

This content originally appeared as part of The ‘Gale newsletter.For the inaugural “Three Questions With …” we caught up with Elijah Meeks. Elijah is the Chief Visualization Officer..

#3_Questions_With #Community #Data_Visualization #interview

100 Bridgerton #Colors
▻https://nightingaledvs.com/100-bridgerton-colors

This project started from my interest in extracting color palettes from scenes of everyday life—I like to take pictures of what is all around me..

#Data_Art #Data_Visualization #Television

You’ve Got Mail: Part 5 of a Year-Long Personal Data Project
https://nightingaledvs.com/youve-got-mail-part-5-of-a-year-long-personal-data-project

This is the fifth installment of a year-long #Data_Visualization journey. If you want to read the fourth part before jumping in, here’s the article..

#communication #Community #Data_Humanism #Design #personal_dataviz #portfolio

You’ve Visualized Your Data, Now Actualize Your Promotion
https://nightingaledvs.com/youve-visualized-your-data-now-actualize-your-promotion

I sat through approximately 160 cross-calibration conversations for analysts in my #Career. A cross-cal is how many companies ensure associates get a fair performance rating..

#communication #Community #Data_Visualization #leadership #skill_development

#Review: Data + Diversity-Exploring the Data Visualizations of W.E.B. Du Bois
▻https://nightingaledvs.com/review-data-diversity-exploring-the-data-visualizations-of-w-e-b-du-

I identify as “new to data”. So, when I attended Tableau’s February Data + Diversity talk, I was totally sending out imposter syndrome vibes. In the..

#data_human #Data_Visualization #DuBois #Historic_Dataviz #webinar

What Is the #Bechdel_Test and What Is Its Relevance to Today’s #film_industry?
https://nightingaledvs.com/what-is-the-bechdel-test-and-what-is-its-relevance-to-todays-film-in

The film industry is one of the most impactful sectors in our society and it has been influencing our values and opinions for decades now...

#Data_Visualization #gender_equity #movies

#spotlight: The Process behind “Among Us” and What I Learned from the DVS #census_challenge
▻https://nightingaledvs.com/spotlight-the-process-behind-among-us-and-what-i-learned-from-the-dv

As a #Data_Visualization designer hobbyist, participating in the DVS Census Challenge opened new opportunities to me. It was a milestone in my learning path,..

#Community #force-directed_graphics #scrollytelling

Three Questions with… Emilia Ruzicka
▻https://nightingaledvs.com/three-questions-with-emilia-ruzicka

This content originally appeared as part of The ‘Gale newsletter. Today, we’re getting to know one of our regular Nightingale writers, Emilia Ruzicka. Emilia studied data journalism..

#3_Questions_With #Community #Data_Visualization #interview

REVIEW: Evergreen Data Academy
▻https://nightingaledvs.com/review-evergreen-data-academy

Two years ago, I didn’t even know that #Data_Visualization was a thing. I had just started a new job where I was asked to..

#Community #personal_investment #reviews #skill_development #upskilling

Data Feminism
▻https://data-feminism.mitpress.mit.edu

A new way of thinking about data science and data ethics that is informed by the ideas of intersectional feminism. Today, data science is a form of power. It has been used to expose injustice, improve health outcomes, and topple governments. But it has also been used to discriminate, police, and surveil. This potential for good, on the one hand, and harm, on the other, makes it essential to ask : Data science by whom ? Data science for whom ? Data science with whose interests in mind ? The (...)

#algorithme #féminisme #racisme #technologisme #sexisme #BigData

https://assets.pubpub.org/1457gwrl/01582679454490.jpg

Chatting Xenographics With Maarten Lambrechts
▻https://nightingaledvs.com/chatting-xenographics-with-maarten-lambrechts

This content originally appeared as part of The ‘Gale newsletter.Maarten Lambrechts is a freelance data journalist, data designer, and visualization consultant. Recently, he sat down with Nightingale to..

#Community #Data_Visualization #interview

#How_To in #Grafana - Part 2: Creating Interactive Dashboards
https://nightingaledvs.com/how-to-in-grafana%e2%80%8a-%e2%80%8apart-2-creating-interactive-dash

This is the second article in a series about Grafana. Part 1 was an intro, demonstrating how to create a simple static dashboard using Grafana,..

#Business_Intelligence #Data_Visualization #Tools

#spotlight: Europe against #racism – in Memoriam to George Floyd
https://nightingaledvs.com/spotlight-europe-against-racism-in-memoriam-to-george-floyd

The brutal killing of George Floyd made me rethink many things. Racism is a global problem, but this incident reached a tipping point that drove..

#Community #Data_Art #Data_Journalism #Data_Visualization

Perceptual Uniformity with #HCL_Wizard
https://nightingaledvs.com/perceptual-uniformity-with-hcl-wizard

In this writing, I discuss how to build a #color Scheme for your data visualization with the freely accessible web app called HCL Wizard. HCL..

#color_deficiency #color_theory

Three Questions with… Amanda Makulec
https://nightingaledvs.com/three-questions-with-amanda-makulec

This content originally appeared as part of The ‘Gale newsletter. Back in January, the #Data_Visualization Society held its first ever Annual General Meeting and elected a..

#3_Questions_With #Community #interview

What would feminist data visualization look like?, by Catherine D’Ignazio
▻https://medium.com/@kanarinka/what-would-feminist-data-visualization-look-like-aa3f8fc7f96c
▻https://civic.mit.edu/feminist-data-visualization

The God Trick! Is this not the rhetorical premise and the seductive promise of most data visualization? To see from the perspective of no person, no body? Our appetite for such perspectives is fierce, “gluttonous”, as [Donna] Haraway characterizes it.
 
And yet, there are ways to do more responsible representation. There are ways to “situate” data visualization and locate it in concrete bodies and geographies. Critical cartographers, counter-mapping artists, indigenous mappers and others have experimented for years with these methods and we can learn from them. 

Here are some beginning design thoughts about what #feminist_data_visualization could do:
 
1. Invent new ways to represent uncertainty, outsides, missing data, and flawed methods

While visualizations - particularly popular, public ones - are great at presenting wholly contained worlds, they are not so good at visually representing their limitations.
 
2. Invent new ways to reference the material economy behind the data.

(...) What are the conditions that make a data visualization possible? Who are the funders? Who collected the data? Whose labor happened behind the scenes and under what conditions? (...)
 
Data visualizations often cite data sources as fact on a legend but we could do more. What if we visually problematized the provenance of the data? The interests behind the data? The stakeholders in the data?

(...)

3. Make dissent possible

(...) as we know from Wikipedia editing wars and GoogleMap Controversies the world is not actually bracketed so conveniently and “facts” are not always what they appear to be.

–---

Catherine D’Ignazio is an Assistant Professor of Data Visualization and Civic Media at Emerson College who investigates how data visualization, technology and new forms of storytelling can be used for civic engagement.
▻http://www.kanarinka.com

#visualisation #méthodologie #féminisme #donna_haraway

Are You Not Entertained?: Part 4 of a Yearlong Personal Data Project
https://nightingaledvs.com/are-you-not-entertained-part-4-of-a-yearlong-personal-data-project

This is the fourth installment of a yearlong #Data_Visualization journey. If you want to read the third part before jumping in, here’s the article..

#Community #Data_Humanism #Design #entertainment #personal_dataviz #portfolio

#spotlight: How Racially Diverse Are The Oscars, Really?
▻https://nightingaledvs.com/spotlight-how-racially-diverse-are-the-oscars-really

This article spotlights Ali Tehrani’s #Design process. This visualization was featured as Tableau’s Viz of the Day on April 26, 2021.Earlier this year, I came..

#Community #Data_Journalism #Data_Visualization #equity #How_To

Three Questions with… Eli Holder
▻https://nightingaledvs.com/three-questions-with-eli-holder

This content originally appeared as part of The ‘Gale newsletter. Eli Holder is principal of 3iap (3 is a pattern), where he helps clients design and..

#3_Questions_With #Community #Data_Visualization #interview

#Brazil Deforests the Amazon by Areas Equivalent to the Size of 230 Manhattans Annually
https://nightingaledvs.com/brazil-deforests-the-amazon-by-areas-equivalent-to-the-size-of-230-m

The Amazon is important not just for Brazil, but also for the whole world. Here are four of the many reasons:1) PrecipitationThrough transpiration, the Amazon..

#Charts #climate_change #Data_Visualization #deforestation #environment #How_To #Power_BI #Tools

Visualizing the #political_regimes in the World
▻https://nightingaledvs.com/visualizing-the-political-regimes-in-the-world

Like most people on the planet last year, I was locked down in my flat with too much space for my thoughts. I had even..

#Data_Visualization #politics

New maps show the utterly massive imprint of fishing on the world’s oceans - The Washington Post
▻https://www.washingtonpost.com/news/energy-environment/wp/2018/02/22/new-maps-show-the-utterly-massive-imprint-of-fishing-on-the-worlds-o

Humans are now fishing at least 55 percent of the world’s oceans — an area four times larger than the area occupied by humanity’s onshore agriculture.

That startling statistic is among the findings of a unique, high-tech collaboration that is providing a massive amount of new data about global fishing operations. The results, published Thursday in the journal Science, offer a powerful glimpse of the problem of overfishing on the hard-to-regulate high seas. According to the Food and Agriculture Organization of the United Nations, 31.4 percent of global fish stocks were overfished or fished unsustainably, as of 2013, while another 58.1 percent were “fully fished.”

Thursday’s findings relied on data from Global Fishing Watch, a collaboration encompassing Oceana, SkyTruth and Google. Researchers compiled billions of data points from tracking systems that the International Maritime Organization requires for about 70,000 fishing vessels.

Tracking the global footprint of fisheries
►http://science.sciencemag.org/content/359/6378/904
#pêche #surpêche #cartographie

Meet the #Nightingale Editors
▻https://nightingaledvs.com/meet-the-nightingale-editors

Ever wondered who’s working behind the scenes to get your articles ready for publication at Nightingale? Over a few issues of The ‘Gale, republished here,..

#Community #editorial #Trivia

#Review: Julie Mehretu, New #museum of American #Art
https://nightingaledvs.com/review-julie-mehretu-new-museum-of-american-art

We are all conglomerations of our influences, remembrances, and fascinations but few artists have assembled them on as vast a scale as Julie Mehretu. The..

#information_design

Announcing the Data Viz Society’s New #membership Opportunities
▻https://nightingaledvs.com/announcing-the-data-viz-societys-new-membership-opportunities

In February 2019, the #Data_Visualization Society launched with a website, a Google form, and a vision from our three founders to be a tool-agnostic,..

#Community #DVS #DVS_news