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R Programming Fundamentals: Deal with data using various modeling techniques
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RSD 6491
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Explore statistical concepts and programming in R, including best practices
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What Stands Out
Детаљи о производу
- Learn the basics of R programming, including data cleaning methods
- Explore statistical concepts and programming in R, including best practices
- Build a data science project using real-world examples
- Import data from various formats and handle missing values
- Create statistical summary and advanced plots using ggplot2
- Apply data management techniques like factoring, merging, and aggregating
| Publisher | Packt Publishing |
| Publication date | September 27, 2018 |
| Language | English |
| Print length | 206 pages |
| ISBN-10 | 1789612993 |
| ISBN-13 | 978-1789612998 |
| Item Weight | 12.8 ounces (362.88 grams) |
| Dimensions | 7.5 x 0.47 x 9.25 inches (19.1 x 1.2 x 23.5 cm) |
Who Should Buy?
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Beginners in Data Science
Ideal for newcomers to R programming looking to understand data manipulation and modeling techniques effectively.
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Analysts Needing Skills
Perfect for analysts seeking to enhance their technical skills in statistical modeling and data analysis using R.
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Students in Academia
A great resource for students studying data science or statistics who require practical insights into R modeling.
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Advanced Programmers
Not suitable for experienced R programmers seeking advanced or niche topics beyond fundamental modeling techniques.
OPIS PROIZVODA
R Programming Fundamentals: Deal with data using various modeling techniques
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Прос
- Clear and concise explanations
- Hands-on modeling techniques
- Great for beginners
- Engaging examples
- Comprehensive coverage of topics
Цонс
- Some advanced topics may require extra research.
Product Price History
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RSD 6491
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Карактеристике и предности
- Learn R programming fundamentals and the R ecosystem
- Understand how to set up R and RStudio
- Study data visualization and graphics using the ggplot2 library
- Become proficient in data cleaning and management techniques
- Build a data science project from start to finish
- Ideal for analysts looking to grow in the field of data science
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