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Statistics With R: Solving Problems Using Real-World Data
87% of respondents would recommend this to a friend
€ 173
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Statistics with R: Solving Problems Using Real-World Data introduces foundational statistics concepts with beginner-friendly R programming in an exploration of the world’s tricky problems.
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What Stands Out
Produkto Aprašymas
- Introduces foundational statistics concepts with beginner-friendly R programming
- Incorporates examples from the social and behavioral sciences
- Features the R Team characters who work together to master statistical analysis and data visualization using R
- Engages students in investigating contemporary issues like marijuana legalization and the opioid epidemic
- Provides step-by-step guidance with full-color illustrations of R statistics and interactive exercises
- Inspired by the programming group R Ladies
| Publisher | SAGE Publications, Inc |
| Publication date | February 10, 2020 |
| Edition | 1st |
| Language | English |
| Print length | 784 pages |
| ISBN-10 | 1506388159 |
| ISBN-13 | 978-1506388151 |
| Item Weight | 2.98 pounds (1.35 kg) |
| Dimensions | 8 x 1.06 x 10 inches (20.3 x 2.7 x 25.4 cm) |
Who Should Buy?
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Data Science Students
Perfect for students looking to enhance their statistical analysis skills using R with real-world datasets.
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Professional Researchers
Ideal for researchers needing practical techniques to analyze data and interpret results effectively in their field.
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Statistical Analysts
Great for analysts wanting to expand their practical R programming skills for data visualization and interpretation.
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Beginners to Statistics
Not suitable for individuals completely new to statistics as it assumes prior knowledge of basic concepts.
PRODUKTO APRAŠYMAS
Statistics With R: Solving Problems Using Real-World Data
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Statistics Editorial Review
**** "Statistics With R: Solving Problems Using Real-World Data" presents a compelling introduction to statistical analysis using the R programming language, focusing on practical applications rather than extensive theoretical groundwork. Many readers appreciate the book’s unique approach, highlighting its strength in getting straight into the application of R with real-world data sets, making it particularly suitable for self-study. The integration of exercises encourages hands-on learning, fostering an active engagement with statistical concepts. However, user feedback is mixed when it comes to the writing style and accessibility of certain content. While proponents admire its thoroughness and assertiveness in tackling statistics using R, detractors have criticized the Prose as overly whimsical, which they find distracting, especially when attempting to grasp complex statistical methodologies. Additionally, some users express frustration over the limited availability of exercise solutions only to educators, which restricts learners who are delving into self-study. Overall, while "Statistics With R" is praised for its innovative approach and practical focus, it appears that some users may find the book's style less appealing and its resource accessibility inadequate. This dichotomy indicates that while the book can be a valuable asset to independent learners, others may struggle with its unique tone and the lack of support in solving certain exercises. **
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Argumentai
- Engaging approach focusing on real-world data applications of R.
- Encourages active participation through hands-on exercises.
- Ideal for self-study, especially for independent learners.
Minusai
- Writing style may be perceived as overly whimsical or distracting.
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Savybės ir privalumai
- Introduces foundational statistics concepts
- Uses beginner-friendly R programming
- Explores real-world problems
- Examples from social and behavioral sciences
- Step-by-step illustrations of R statistics
- Interactive exercises
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