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| | datascienceworkshops.com
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| | Blog article by Jeroen Janssens. Dec 13, 2019. 6 min read. Because ggplot2 is the de-facto package for creating high-quality data visualizations in R, and has been for a long time, there exists many excellent resources for learning ggplot2, including: the ggplot2 website, a two-page cheat sheet (PDF), Stack Overflow, and books such as ggplot2: Elegant Graphics for Data Analysis and R Graphics Cookbook: Practical Recipes for Visualizing Data. A ggplot2 cheat sheet (PDF) Two days ago, I published...
| | www.softdevtube.com
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| | Programming history is filled with bugs that turned out to be features and limitations that pushed developers to make even more interesting products. We'll journey through code that was so 'bad' it was actually good. Along the way we'll look at the important role failure plays in learning. Then we'll tame our inner perfectionists and
| | www.rasulkireev.com
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| | My first start-to-end Data Science project. I am going to be looking at FIFA 19 player database. In this part I talk about Data Cleaning.
| | analyticsindiamag.com
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| In this article we delve deeper into the features of Jupyter, and why it is considered to be the best platform for data scientists.