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Data Visualization Society
United States
เข้าร่วมเมื่อ 8 ต.ค. 2019
The Data Visualization Society has three key objectives:
Nurture: Build a cross-functional, tool agnostic community for sharing ideas, learning, and best practices for data visualization design.
Celebrate: Amplify and showcase brilliance in data visualization design through conferences, writing, and awards.
Advance: Raise awareness about the practice of data visualization, collaborate with leaders to set professional standards, and build a more inclusive field.
Nurture: Build a cross-functional, tool agnostic community for sharing ideas, learning, and best practices for data visualization design.
Celebrate: Amplify and showcase brilliance in data visualization design through conferences, writing, and awards.
Advance: Raise awareness about the practice of data visualization, collaborate with leaders to set professional standards, and build a more inclusive field.
Q&A with an Expert: Jessica Russo
Join us for an exciting conversation with Jessica Russo. Jessica shares her journey and her experience with data viz in advocacy: Working with a variety of stakeholders who have different levels of experience in data and design (advocates, scientists, policy makers, lawyers) to find stories in data, focusing on audience and their call to action. She highlights the importance of onboarding a new project and incorporating meaningful and engaged critique.
Jessica Russo is a Senior Associate in Data Visualization at the Natural Resources Defense Council (NRDC), one of the nation's leading environmental advocacy organizations. She partners with scientists, advocates, and lawyers to illustrate their work to a wide audience through data storytelling, illustration, design, and animation. In addition to her full-time job, Jessica runs Ana Design, a freelance design and data visualization company working with small businesses and environmental organizations in various capacities.
Jessica Russo is a Senior Associate in Data Visualization at the Natural Resources Defense Council (NRDC), one of the nation's leading environmental advocacy organizations. She partners with scientists, advocates, and lawyers to illustrate their work to a wide audience through data storytelling, illustration, design, and animation. In addition to her full-time job, Jessica runs Ana Design, a freelance design and data visualization company working with small businesses and environmental organizations in various capacities.
มุมมอง: 130
วีดีโอ
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มุมมอง 2462 หลายเดือนก่อน
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มุมมอง 1772 หลายเดือนก่อน
Join us for an insightful journey where Divyanshi Wadhwa shares her journey in data visualization within the international development community. She talks about how they present a global picture without complete data. Specifically, using examples from the Atlas of Sustainable Development Goals 2023, she talks about how they make decisions on presenting and visualizing data/information that is ...
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มุมมอง 2963 หลายเดือนก่อน
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มุมมอง 933 หลายเดือนก่อน
Data Viz for All: Leveraging Social Media and Reachable Workshops for Increased Access Talk notes: docs.google.com/document/d/1rCiQCQnJ0DNa0UstAZNgDxDPssBwW9ByFiCVX1f3_XU/edit?usp=sharing Outlier 2024 delves into positive disruptions within the data visualization realm, spotlighting those who challenge conventional organizational norms to find constructive alternatives. Positive disruptors insp...
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มุมมอง 1383 หลายเดือนก่อน
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Kuhu Gupta-Tiny Titans of Data The Mighty Impact of Micro Visualizations (Outlier 2024)
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Eli Holder & Gabrielle Merite-Visual Villainy How to Undermine Humanity With Dataviz (Outlier 2024)
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มุมมอง 4993 หลายเดือนก่อน
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มุมมอง 933 หลายเดือนก่อน
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มุมมอง 1233 หลายเดือนก่อน
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มุมมอง 4163 หลายเดือนก่อน
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มุมมอง 1103 หลายเดือนก่อน
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มุมมอง 783 หลายเดือนก่อน
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มุมมอง 183 หลายเดือนก่อน
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มุมมอง 653 หลายเดือนก่อน
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มุมมอง 1503 หลายเดือนก่อน
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มุมมอง 1503 หลายเดือนก่อน
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Steve Franconeri-Thinking with Data Visualizations, Fast and Slow (Outlier 2024)
มุมมอง 7063 หลายเดือนก่อน
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Lisa Vissichelli-Inclusive Segmentations Bridging the Gap Without Bias (Outlier 2024)
มุมมอง 323 หลายเดือนก่อน
Lisa Vissichelli-Inclusive Segmentations Bridging the Gap Without Bias (Outlier 2024)
yeah dashboards
I was expecting this video to have thousands of views. Excellent video.
Just wonderful! Thank you for sharing your process, it was really inspiring. I am waiting for the book to be published in Portuguese to buy it for my niece, but I will definitely buy the English version for myself ☺
Great
It was lovely! 😍😍😍
Loved this
i’d imagine if you put an average guy in a f14 cockpit, they’d have a similar experience re this tool and ye olde ordered flat list.
👏👏👏
glad to see this video! cheers and thank you
Great Presentation! The session was incredibly informative!
A brilliant presentation for everyone in our age of data.
👏👏👏
Barcelona supercomputer does similar m.th-cam.com/video/ICr39GNbgHU/w-d-xo.html
I started your ESRI cartography MOOC class 6 days ago (April 4th, 2024, a day after the first class). I'm looking forward to learning more from your wisdom regarding mapping and the *clear* and functional representation of data, similar to how you have described in this video. Thanks!
Posrian hacer tutoriales o me recomendarían un manual para obtener este resultado, por favor
You are inspiring!!!
Great talk
I wish I could find easy to understand data graphics like Hans Roslings th-cam.com/video/hVimVzgtD6w/w-d-xo.htmlsi=ZoPqYPr2eIpBQS8H
I wish someone would make easy to understand visual data like Hans Roslings th-cam.com/video/hVimVzgtD6w/w-d-xo.htmlsi=ZoPqYPr2eIpBQS8H
Beautiful!
Such a unique and inspiring project!
Fantastic!
plot.position is not found in theme for ggplot 3.4.4
Amazing talk! Really impressive!
What is the difference between 'ethnically from here' and 'native state'?
Assalamualaikum sir from where we can have this book??
thankful to you for the efforts....I hope it creates wonders....but as I am not a data scientist ...am I able to understand it and implement these games with my kids...
🎯 Key Takeaways for quick navigation: Made with HARPA AI
Good work done
This type of storytelling is very compelling
You are an extraordinary guy. Your channels widen my horizon in the most tantalizing manner.
This is excellent data storytelling. Finds it very relatable to my - Data is beautiful newsletter (Find link in channel bio)
'Promo sm' 😀
awh! Sonja is such a sweetheart when she said: "you don't have to be a young person to get involved!" Thank you Sonja, you are inspiring!
awesome! :D
John is really good at communicating with data, and really good at communicating about communicating with data. Great talk!
Really neat presentation! We need better media & processes for thinking about complex systems, really neat to see you adding to that space!
I really enjoyed this video. Creative way to teach and solidify intimidating research concepts. Well done!!!
Wow! Thank you for the talk. I found it really inspiring!
Parabéns meu FILHÃO
Such a well thought and designed visualisation. What a talent. Not just presenting the information in an easily understandable format which perfectly provides then narrative that she wants to convey, but also considers the moral implications of publishing data - something often overlooked by journalists. Not sure about the relevance of the question from the audience member - surely under 18s are not the main viewers/reviewers, but those people who were in their teens during the 90s. Well worth watching at least an extra time just to note the cat in the background trying to steal the show.
Thanks for sharing your stories, Shirley! It's very motivational to hear your career and self-building journey through the dataviz community!
Amazing talk, congrats to both of you!
Awesome work!
Very good
Go Lumos Maxima! ⚡
It was really so amazing feelings of love and freedom and truth <3
I really like Jamie Beason explanation about theory and execution with color blindness choices. Sometimes, it´s not possible create the ideal scenario; the client not necessarily will change and wants an alternative for the two ways of seeing it.
Such an interesting discussion! I loved hearing about the different paths that can be used to learn D3 and what might be harder to learn based on someone’s background.
How do you think chatGPT is going to influence data visualization as a field?
It will write half the code for us.