12 Best Data Science Resources on the Internet

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Data science is hot right now. If you want to learn more about it, where should you go? Online, of course! Check out our favorite data science sites. Whether you’re a beginner or a pro, these are sites you should know. Not so long ago, if you wanted information on a topic like data science, you had to look for it – either at your local library or at a university. Information was golden, and like gold it was guarded.

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How to Create Good Visuals

In this article, we’ll take a look at guidelines you should follow to create compelling visuals. Our goal is to learn how to effectively convey information through graphics. Have you ever looked at raw data—spreadsheets of stray numbers—and struggled to make sense of it? We’ve all been there, but it’s no surprise—because the human brain processes visualizations and images 10,000 times faster than raw data. In fact, 80% of the information we absorb comes from visuals, and the remaining 20%

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New Vertabelo Academy Course on Data Visualization: Share Your Insights With Everyone!

In today’s data-driven world, a good visualization goes a long way in helping people make sense of numbers. Every day at the office, we’re working hard to create programming and data science content that is accessible to everyone. We aim to produce content that is easy to understand, primarily for people with no IT background. And you know what? Ironically, this stuff ain’t easy even if you’re an IT specialist! We seek metaphors and real-life applications; we share our experience

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Introduction to ggplot2

Show, don’t tell! Share data insights in stunning color and display with ggplot2, a wonderful R package for visualizing data. Ggplot2: Grammar of Graphics The end of qualitative data analysis should be clear—beautiful data visualizations. We are visual beings, after all, and a picture tells us far more than raw numbers! Among the many visualization tools, one in particular stands out : ggplot2—a free, open-source, and easy-to-use package that has become a favorite among many R programmers. This article explains

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