R for Data Science: Import, Tidy, Transform, Visualize, and Model Data

“R for Data Science: Import, Tidy, Transform, Visualize, and Model Data” is a comprehensive textbook written in English, focusing on the essential skills needed for data science using the R programming language. Published by O’Reilly Media, this 2nd edition book covers important topics such as data import, tidying, transformation, visualization, and modeling in a 576-page print length. With dimensions of 7 x 1.25 x 9.25 inches and weighing 2.31 pounds, this book is a valuable resource for learners looking to enhance their data science skills with R.

R for Data Science: Import, Tidy, Transform, Visualize, and Model Data

“R for Data Science: Import, Tidy, Transform, Visualize, and Model Data” is a comprehensive textbook written in English, focusing on the essential skills needed for data science using the R programming language. Published by O’Reilly Media, this 2nd edition book covers important topics such as data import, tidying, transformation, visualization, and modeling in a 576-page print length. With dimensions of 7 x 1.25 x 9.25 inches and weighing 2.31 pounds, this book is a valuable resource for learners looking to enhance their data science skills with R.

R for Data Science: Import, Tidy, Transform, Visualize, and Model Data

“R for Data Science: Import, Tidy, Transform, Visualize, and Model Data” is a comprehensive textbook written in English, focusing on the essential skills needed for data science using the R programming language. Published by O’Reilly Media, this 2nd edition book covers important topics such as data import, tidying, transformation, visualization, and modeling in a 576-page print length. With dimensions of 7 x 1.25 x 9.25 inches and weighing 2.31 pounds, this book is a valuable resource for learners looking to enhance their data science skills with R.

R for Data Science: Import, Tidy, Transform, Visualize, and Model Data

“R for Data Science: Import, Tidy, Transform, Visualize, and Model Data” is a comprehensive textbook written in English, focusing on the essential skills needed for data science using the R programming language. Published by O’Reilly Media, this 2nd edition book covers important topics such as data import, tidying, transformation, visualization, and modeling in a 576-page print length. With dimensions of 7 x 1.25 x 9.25 inches and weighing 2.31 pounds, this book is a valuable resource for learners looking to enhance their data science skills with R.

R for Data Science: Import, Tidy, Transform, Visualize, and Model Data

“R for Data Science: Import, Tidy, Transform, Visualize, and Model Data” is a comprehensive textbook written in English, focusing on the essential skills needed for data science using the R programming language. Published by O’Reilly Media, this 2nd edition book covers important topics such as data import, tidying, transformation, visualization, and modeling in a 576-page print length. With dimensions of 7 x 1.25 x 9.25 inches and weighing 2.31 pounds, this book is a valuable resource for learners looking to enhance their data science skills with R.

Martin Kleppman Designing Data-Intensive Application 2nd ed 9781098119065

The product is a textbook titled “Designing Data-Intensive Applications: The Big Ideas Behind Reliable, Scalable, and Maintainable Systems” by authors Martin Kleppmann and Chris Riccomini. Published by O’Reilly Media, it covers a range of subjects including Web Services, Data Modeling, Desktop Applications, Data Warehousing, Data Processing, and Data Mining. This 2nd edition book, set to be released in 2026, provides insights into designing data-intensive applications for adult education and further study. It is a comprehensive resource for students and professionals looking to enhance their understanding of building reliable and scalable systems.