Modern Data Science with R
β Scribed by Benjamin S. Baumer, Daniel T. Kaplan, Nicholas J. Horton
- Publisher
- CRC
- Year
- 2017
- Tongue
- English
- Leaves
- 557
- Category
- Library
No coin nor oath required. For personal study only.
π SIMILAR VOLUMES
Modern Data Science with R is a comprehensive data science textbook for undergraduates that incorporates statistical and computational thinking to solve real-world problems with data. Rather than focus exclusively on case studies or programming syntax, this book illustrates how statistical programmi
<p>From a review of the first edition: "<i>Modern Data Science with R</i>β¦ is rich with examples and is guided by a strong narrative voice. Whatβs more, it presents an organizing framework that makes a convincing argument that data science is a course distinct from applied statistics" (<i>The Americ
<p>From a review of the first edition: "<i>Modern Data Science with R</i>β¦ is rich with examples and is guided by a strong narrative voice. Whatβs more, it presents an organizing framework that makes a convincing argument that data science is a course distinct from applied statistics" (<i>The Americ
Modern Data Visualization with R describes the many ways that raw and summary data can be turned into visualizations that convey meaningful insights. It starts with basic graphs such as bar charts, scatter plots, and line charts, but progresses to less well-known visualizations such as tree maps, al