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Celebrating Women in Data Visualization

Juice Analytics

March is Women’s History Month and as a company that celebrates women, we wanted to highlight some of the most influential women in the history of data visualization! Florence Nightingale: Florence Nightingale is considered to be one of the first pioneers of data visualization. Your Viz Vizier.

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Fulbright Award Winner Closes Data Skills Gap for Students and Teachers

Tableau

Danika Harrod October 22, 2024 - 5:46pm Larissa Amoroso Vice President, Tableau Community, Tableau Tableau Academic Ambassador Dr. Mary Dunaway has spent years empowering students and educators with skills such as data visualization. Scholar Program Award to share her expertise at the University of Eswatini.

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14 Best Data Storytelling Tools 2021

Juice Analytics

Data storytelling is quickly becoming a popular mode for presenting data. It combines text and graphics with data visualizations to guide an audience. But these solutions are limited in their ability to balance the explanatory and exploratory elements of an effective data story. Cost : Annual subscription.

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Bad BI habits, how to fix “crappy” visualizations, and big data vs. retail: Twitter Round-Up for June 6

Domo

HubSpot says of data visualization, “It’s about presenting information in a way that is easy to understand and intuitive to navigate, making the viewer do as little legwork as possible. Of course, not all designers are data visualization experts, which is why much of the visual content we see is, well, less than stellar.

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Discover 20 Essential Types Of Graphs And Charts And When To Use Them

Data Pine

Each type of chart will have a visual example generated with datapine’s professional dashboard software. This knowledge will be valuable if you are a data visualization designer, a business user looking to incorporate visual analytics into his/her work, or just an average viewer looking to learn more about the topic.

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Analyzing the history of Tableau innovation

Tableau

I was a member of Chris’ dissertation committee, having done a Stanford PhD on automatic design of graphical presentations that Chris had used in his dissertation. The visual encoding allowed domain experts to immediately see that blended data was inappropriate, which is why Blending was useful to people who did not understand joins. .

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Analyzing the history of Tableau innovation

Tableau

I was a member of Chris’ dissertation committee, having done a Stanford PhD on automatic design of graphical presentations that Chris had used in his dissertation. The visual encoding allowed domain experts to immediately see that blended data was inappropriate, which is why Blending was useful to people who did not understand joins. .