Over 85 recipes to help you complete real-world data science projects in R and Python About This Book - Tackle every step in the data science pipeline and use it to acquire, clean, analyze, and visualize your data - Get beyond the theory and implement real-world projects in data science using R and
Statistics and Data Visualization Using R: The Art and Practice of Data Analysis
โ Scribed by David S. Brown
- Publisher
- SAGE Publications, Inc
- Year
- 2021
- Tongue
- English
- Leaves
- 616
- Edition
- 1
- Category
- Library
No coin nor oath required. For personal study only.
โฆ Synopsis
Designed to introduce students to quantitative methods in a way that can be applied to all kinds of data in all kinds of situations, Statistics and Data Visualization Using R: The Art and Practice of Data Analysis by David S. Brown teaches students statistics through charts, graphs, and displays of data that help students develop intuition around statistics as well as data visualization skills. By focusing on the visual nature of statistics instead of mathematical proofs and derivations, students can see the relationships between variables that are the foundation of quantitative analysis. Using the latest tools in R and R RStudioยฎ for calculations and data visualization, students learn valuable skills they can take with them into a variety of future careers in the public sector, the private sector, or academia. Starting at the most basic introduction to data and going through most crucial statistical methods, this introductory textbook quickly gets students new to statistics up to speed running analyses and interpreting data from social science research.
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<p><b>Over 85 recipes to help you complete real-world data science projects in R and Python</b></p><h2>About This Book</h2><ul><li>Tackle every step in the data science pipeline and use it to acquire, clean, analyze, and visualize your data</li><li>Get beyond the theory and implement real-world proj
<p><b>Over 85 recipes to help you complete real-world data science projects in R and Python</b></p><h2>About This Book</h2><ul><li>Tackle every step in the data science pipeline and use it to acquire, clean, analyze, and visualize your data</li><li>Get beyond the theory and implement real-world proj
<p><b>Over 85 recipes to help you complete real-world data science projects in R and Python</b></p><h2>About This Book</h2><ul><li>Tackle every step in the data science pipeline and use it to acquire, clean, analyze, and visualize your data</li><li>Get beyond the theory and implement real-world proj
Master the art of building analytical models using RAbout This Book Load, wrangle, and analyze your data using the world's most powerful statistical programming language Build and customize publication-quality visualizations of powerful and stunning R graphs Develop key skills and techniques with
<p><b>Master the art of building analytical models using R</b></p><h2>About This Book</h2><ul><li>Load, wrangle, and analyze your data using the world's most powerful statistical programming language</li><li>Build and customize publication-quality visualizations of powerful and stunning R graphs</li