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Nº de artículo:
81636966
R for Data Science: Import, Tidy, Transform, Visualize, and Model Data, (Paperback)
Nº de artículo:
81636966
BOB 420
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What Stands Out
Comprehensive Guide
This book covers essential data science skills, including data import, cleaning, and visualization, making it ideal for beginners and professionals aiming to enhance their R programming capabilities.
Hands-On Approach
With practical examples and exercises, readers can apply concepts immediately, enabling effective learning and mastery of data manipulation techniques in R.
Up-to-Date Content
Incorporating the latest tools and methodologies in data science, the book ensures readers are equipped with modern practices, staying relevant in a rapidly evolving field.
Detalles de producto
- Use R to turn data into insight, knowledge, and understanding. With this practical book, aspiring data scientists will learn how to do data science with R and RStudio, along with the tidyverseâ a collection of R packages designed to work together to make data science fast, fluent, and fun. Even if you have no programming experience, this updated edition will have you doing data science quickly. You'll learn how to import, transform, and visualize your data and communicate the results. And you'll get a complete, big-picture understanding of the data science cycle and the basic tools you need to manage the details. Updated for the latest tidyverse features and best practices, new chapters show you how to get data from spreadsheets, databases, and websites. Exercises help you practice what you've learned along the way. You'll understand how to: Visualize: Create plots for data exploration and communication of results Transform: Discover variable types and the tools to work with them Import: Get data into R and in a form convenient for analysis Program: Learn R tools for solving data problems with greater clarity and ease Communicate: Integrate prose, code, and results with Quarto
| Publication date | July, 2023 |
| Author | Hadley Wickham |
| Book format | Paperback |
| Genre | Computing & Internet |
| Pages | 576 |
| Age group | Adult |
| Binding type | Perfect Binding |
| Series title | No Series |
| Fiction/nonfiction | Non-Fiction |
| Publisher | O'Reilly Media |
| Educational level | College |
| Reading level | Kindergarten |
| Subgenre | Data Science |
| Awards won | no |
| Original languages | English |
| Translated from | No |
| Edu focus | Engineering |
| Digital audio file format | No |
| Digital file format | No |
| Recording time | 0 min |
| Translator | No |
| Is collectible | N |
| Bisac subject heading | Computers |
| Edition | 2nd Edition |
| Digital reader format | No |
| Narrator | No |
| Language | English |
| Pub date | 1970-01-01 |
| Item Weight | 2 lbs (910 grams) |
Who Should Buy?
-
Data Science Beginners
Ideal for beginners seeking an accessible introduction to data science concepts using the R programming language.
-
Statisticians
Great for statisticians needing practical guidance on using R for data manipulation, visualization, and statistical modeling.
-
Analysts Transitioning
Beneficial for analysts transitioning from other software to R, providing hands-on practical examples in data analysis.
-
Advanced Users
Not suitable for advanced users who already possess extensive knowledge of R and data science methodologies.
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Hadley Wickham Ages 3-5 Kids' Books Editorial Review
R for Data Science: Import, Tidy, Transform, Visualize, and Model Data is a comprehensive paperback guide that dives deep into the fundamentals of data science. This non-fiction book, published by O'Reilly Media in July 2023, spans 576 pages and is ideal for college-level engineering students. The second edition by editor Garrett Grolemund focuses on practical applications, making it an excellent resource for learning how to manipulate and visualize data effectively. Readers appreciate its clear explanations and hands-on approach, which simplifies complex concepts in data science.
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ventajas
- Comprehensive guide for data science beginners
- Practical applications with clear explanations
- Ideal for college-level engineering students
- Second edition offers updated content
- User-friendly format for easy understanding
Contras
- Reading level may seem basic for advanced users
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