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The Top 20 Data Visualization Books That Should Be On Your Bookshelf

Data Pine

Now that you’re sold on the power of data analytics in addition to data-driven BI, it’s time to take your journey a step further by exploring how to effectively communicate vital metrics and insights in a concise, inspiring, and accessible format through the power of visualization. Data visualization: What You Need To Know.

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13 Essential Data Visualization Techniques, Concepts & Methods To Improve Your Business – Fast

Data Pine

Digital data not only provides astute insights into critical elements of your business but if presented in an inspiring, digestible, and logical format, it can tell a tale that everyone within the organization can get behind. Data visualization methods refer to the creation of graphical representations of information.

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Top 10 IT & Technology Buzzwords You Won’t Be Able To Avoid In 2020

Data Pine

AI refers to the autonomous intelligent behavior of software or machines that have a human-like ability to make decisions and to improve over time by learning from experience. The device mesh refers to an expanding set of endpoints people use to access applications and information. So, what is this most intriguing of tech buzzwords?

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Analyzing the history of Tableau innovation

Tableau

Four reference lines on the x-axis indicate key events in Tableau’s almost two-decade history: The first Tableau Conference in 2008. Adam Selipsky becoming CEO in 2016. Tableau had its IPO at the NYSE with the ticker DATA in 2013. Chris and Christian stepped out of operational roles when Adam Selipsky became CEO in 2016.

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Analyzing the history of Tableau innovation

Tableau

Four reference lines on the x-axis indicate key events in Tableau’s almost two-decade history: The first Tableau Conference in 2008. Adam Selipsky becoming CEO in 2016. Tableau had its IPO at the NYSE with the ticker DATA in 2013. Chris and Christian stepped out of operational roles when Adam Selipsky became CEO in 2016.

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

Data Pine

Exclusive Bonus Content: Download Our Free Data Integrity Checklist. Get our free checklist on ensuring data collection and analysis integrity! Misleading statistics refers to the misuse of numerical data either intentionally or by error. 3) Data fishing. 4) Misleading data visualization.

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