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R Programming for Beginners
R Programming for Beginners
Knygos.lt klubas Knygos.lt nariams
27,57 €
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  • Išsiųsime per 12–18 d.d.
What is R ? R is a popular programming language used for statistical computing and graphical presentation. Its most common use is to analyze and visualize data. Why Use R ? - It is a great resource for data analysis, data visualization, data science and machine learning - It provides many statistical techniques (such as statistical tests, classification, clustering and data reduction) - It is easy to draw graphs in R, like pie charts, histograms, box plot, scatter plot, etc. - It works on diffe…
  • Leidėjas:
  • ISBN-10: 9356755256
  • ISBN-13: 9789356755253
  • Formatas: 14 x 21.6 x 1.9 cm, minkšti viršeliai
  • Kalba: Anglų

R Programming for Beginners (el. knyga) (skaityta knyga) | knygos.lt

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What is R ? R is a popular programming language used for statistical computing and graphical presentation. Its most common use is to analyze and visualize data. Why Use R ? - It is a great resource for data analysis, data visualization, data science and machine learning - It provides many statistical techniques (such as statistical tests, classification, clustering and data reduction) - It is easy to draw graphs in R, like pie charts, histograms, box plot, scatter plot, etc. - It works on different platforms (Windows, Mac, Linux) - It is open-source and free - It has a large community support - It has many packages (libraries of functions) that can be used to solve different problems

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  • Autorius: MD Iqbal Hossain (Rony)
  • Leidėjas:
  • ISBN-10: 9356755256
  • ISBN-13: 9789356755253
  • Formatas: 14 x 21.6 x 1.9 cm, minkšti viršeliai
  • Kalba: Anglų

What is R ? R is a popular programming language used for statistical computing and graphical presentation. Its most common use is to analyze and visualize data. Why Use R ? - It is a great resource for data analysis, data visualization, data science and machine learning - It provides many statistical techniques (such as statistical tests, classification, clustering and data reduction) - It is easy to draw graphs in R, like pie charts, histograms, box plot, scatter plot, etc. - It works on different platforms (Windows, Mac, Linux) - It is open-source and free - It has a large community support - It has many packages (libraries of functions) that can be used to solve different problems

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