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

datapine

But often that’s how we present statistics: we just show the notes, we don’t play the music.” – Hans Rosling, Swedish statistician. Data visualization, or ‘data viz’ as it’s commonly known, is the graphic presentation of data. That’s a colossal number of books on visualization. Data visualization: What You Need To Know.

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5 key areas for tech leaders to watch in 2020

O'Reilly on Data

Growth is still strong for such a large topic, but usage slowed in 2018 (+13%) and cooled significantly in 2019, growing by just 7%. But sustained interest in cloud migrations—usage was up almost 10% in 2019, on top of 30% in 2018—gets at another important emerging trend. Still cloud-y, but with a possibility of migration.

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

datapine

Exciting and futuristic, the concept of computer vision is based on computing devices or programs gaining the ability to extract detailed information from visual images. While we’ve seen traces of this in 2019, it’s in 2020 that computer vision will make a significant mark in both the consumer and business world. Connected Retail.

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Great Storytelling With Data: Visualize Simply And Focus Obsessively

Occam's Razor

Avoid complex visualizations – they get in the way! My goal is that you'll learn a set of filters you'll use as you think about the best ways to create your stories, however you choose to tell them with whatever visual output you most love. Avoid complex visualizations – they get in the way! Teddy ready?

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Data Visualization and Visual Analytics: Seeing the World of Data

Sisense

In a world increasingly dominated by data, users of all kinds are gathering, managing, visualizing, and analyzing data in a wide variety of ways. Data visualization and visual analytics are two terms that come up a lot when new and experienced analytics users alike delve into the world of data in their quest to make smarter decisions.

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Top 6 Data Analytics Tools in 2019

FineReport

First, data processing, data cleaning, and then data modeling, finally data visualization that uses presentation of charts to identify problems and influence decision-making. From the perspective of development history and current market feedback, Tableau is better at visualization. 1) Professional statistical analysis.

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DataOps Enables Your Data Fabric

DataKitchen

Gartner included data fabrics in their top ten trends for data and analytics in 2019. Data fabrics provide reusable services that span data integration, access, transformation, modeling, visualization, governance, and delivery. From an industry perspective, the topic of data fabrics is on fire. What is a Data Fabric?