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New Edition of “Now You See It”

Perceptual Edge

On April 15, 2021, my book Now You See It (2009) will become available in its second edition with the revised subtitle An Introduction to Visual Data Sensemaking. Now You See It: An Introduction to Visual Data Sensemaking. Now You See It teaches the concepts, principles, and practices of visual data sensemaking.

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How The Cloud Made ‘Data-Driven Culture’ Possible | Part 1

BizAcuity

2009: Amazon releases its own Relational Database Services on cloud to simplify set up and operations. Microsoft also releases Power BI, a data visualization and business intelligence tool. 2021: The global cloud market size is at USD $445.3 As a result, AWS witnessed rapid adoptions in the market. Expected to reach USD $947.3

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How To Spot Misleading Charts: Review the Message

Tableau

Data Visualization expert and author Kathy Rowell says that we should always ask “Compared to What?” For example, in How Charts Lie: Getting Smarter about Visual Information , Alberto Cairo discusses the following bar chart. Unemployment rate shown over multiple years, showing a downward overall trend from 2009 to 2018.

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Analyzing the history of Tableau innovation

Tableau

December 1, 2021 - 11:06pm. December 2, 2021. Click to view the full interactive visualization. VizQL: A domain-specific language for visual, self-service analysis. The core innovation in Chris’ prototype was a domain-specific language called VizQL that combined query and visual encoding of data. Jock Mackinlay.

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Analyzing the history of Tableau innovation

Tableau

December 1, 2021 - 11:06pm. December 2, 2021. Click to view the full interactive visualization. VizQL: A domain-specific language for visual, self-service analysis. The core innovation in Chris’ prototype was a domain-specific language called VizQL that combined query and visual encoding of data. Jock Mackinlay.

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Misleading Statistics Examples – Discover The Potential For Misuse of Statistics & Data In The Digital Age

Data Pine

A 2009 investigative survey by Dr. Daniele Fanelli from The University of Edinburgh found that 33.7% With the COVID-19 pandemic, the general public was forced to consume scientific information in the form of data visualizations to stay informed about the current developments of the virus. But this didn’t come easy.

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