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2021 | OriginalPaper | Buchkapitel
21. Conclusion
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Abstract
My intent in writing this book was to provide useful code that you can put to work quickly. Some of the topics, such as the prediction models, are the subject of thick books and thousands of mathematical, scientific, and business-related papers. I wanted to show that with a few lines of code some functionality is possible without investing months or years going up the learning curve. Decades ago, those who controlled the old mainframes were called “high priests”—not necessarily a complimentary term. R has the potential to help people across the planet get value from data and so should be democratized as much as possible. Obviously if you have a need to do more in-depth analysis, there are terrific books available from Apress and others to get the expertise you need. But everyone has a “day one” in any subject. We should not discourage new users of the language by making it onerous to perform basic analysis. Success motivates.