Remove 2016 Remove Data Visualization Remove Healthcare
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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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How to Spot Misleading Charts, a Checklist

Tableau

Alberto Cairo, data visualization expert and author of How Charts Lie Whether you are reading a social post, news article or business report, it’s important to know and evaluate the source of the data and charts that you view. Two line graphs showing the same data with different intervals on the axis. Know the Source.

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

Data Pine

Some more examples of AI applications can be found in various domains: in 2020 we will experience more AI in combination with big data in healthcare. For example, in October 2016 Wells Fargo and The Commonwealth Bank of Australia made history by using blockchain to facilitate paying for a shipment of cotton from the U.S.

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

Data Pine

Now that we’ve put the misuse of statistics in context, let’s look at various digital age examples of statistics that are misleading across five distinct, but related, spectrums: media and politics, news, advertising, science, and healthcare. 2) Examples of misleading statistics in healthcare. 4) Misleading data visualization.

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