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92036029
R for the Rest of Us: A Statistics-Free Introduction
90% of respondents would recommend this to a friend
物品 #:
92036029
HKD 484
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What Stands Out
Accessible Learning
Designed for beginners, this book simplifies complex concepts without statistical jargon, making R programming approachable for non-technical users and empowering them to analyze data confidently.
Practical Applications
Focuses on real-world examples and practical applications of R, enabling readers to understand how to apply their skills in everyday scenarios, especially in business and research contexts.
User-Friendly Approach
Utilizes straightforward explanations and step-by-step instructions, allowing even those with no prior programming experience to grasp R's functionalities and tools effectively.
產品詳情
| Publisher | No Starch Press |
| Publication date | June 25, 2024 |
| Language | English |
| Print length | 256 pages |
| ISBN-10 | 1718503326 |
| ISBN-13 | 978-1718503328 |
| Item Weight | 2.31 pounds (1.05 kg) |
| Dimensions | 7 x 0.59 x 9.25 inches (17.8 x 1.5 x 23.5 cm) |
Who Should Buy?
-
Beginners in R
Ideal for individuals new to R who wish to learn programming without the complexities of statistics.
-
Data Enthusiasts
Perfect for casual data users seeking to explore data analysis concepts without requiring deep statistical knowledge.
-
Non-specialists
Suitable for professionals from various fields looking to incorporate data analysis into their work without statistics.
-
Advanced Statisticians
Not suitable for those who require in-depth statistical analysis or expect detailed statistical methods in R.
產品敘述
R for the Rest of Us: A Statistics-Free Introduction
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優點
- User-friendly for beginners
- Engaging and accessible content
- Covers key concepts clearly
- Great for non-statistics majors
- Helpful examples and exercises
缺點
- Some topics could use more depth.
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HKD 484
現在訂購，約可在下列時間收貨： Monday, 十一月 09
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特色和優勢
- Learn R programming without prior experience.
- Create informative visualizations effortlessly.
- Generate dynamic reports and interactive websites.
- Manipulate and clean data with user-friendly tools.
- Develop custom functions and packages to enhance functionality.
- No advanced math or statistics knowledge is needed.
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