Бывает, что жизнь напоминает недочитанную книгу: мы листаем страницы будней, но смысл ускользает, растворяясь в списках дел и бесконечных уведомлениях.
Я поймала себя на мысли, что давно не останавливалась просто так — чтобы посмотреть, как падает свет на кухонный стол, или послушать, о чем шумит дождь за окном.
Женщины привыкли быть для всех: для семьи, для работы, для друзей. Но кто мы без этих ролей?
Иногда полезно задать себе этот вопрос и честно ответить, не оглядываясь на чужие ожидания..
Автор: Mittal H.V. Название: R Graph Cookbook Издательство: Packt Publishing Год: 2015 Формат: PDF Язык: британский Размер: 10,3 Мб
The open source statistical software, R, is one of the most popular choices among researchers from various fields. This software has the capability to produce high-quality graphics, and data visualization is one of the most important tasks in data science tracks. Through effective visualization, we can easily uncover the underlying pattern among variables without doing any sophisticated statistical analysis. In this cookbook, we have focused on graphical analysis using R in a very simple way with each independent example. We have covered the default R functionality along with more advanced visualization techniques such as lattice, ggplot2, and three-dimensional plots. Readers will not only learn the code to produce the graph but also learn why certain code has been written with specific examples.
Автор: Mittal H.V. Название: R Graph Cookbook Издательство: Packt Publishing Год: 2015 Формат: PDF Язык: британский Размер: 10,3 Мб The open source statistical software, R, is one of the most popular choices among researchers from various fields. This software has the capability to produce high-quality graphics, and data visualization is one of the most important tasks in data science tracks. Through effective visualization, we can easily uncover the underlying pattern among variables without doing any sophisticated statistical analysis. In this cookbook, we have focused on graphical analysis using R in a very simple way with each independent example. We have covered the default R functionality along with more advanced visualization techniques such as lattice, ggplot2, and three-dimensional plots. Readers will not only learn the code to produce the graph but also learn why certain code has been written with specific examples. Download: bezsms.org turbobit.net dfiles.ru hitfile.net