A practical book for systematically learning data science related to food and agriculture using the statistical analysis software R from the basics.
The R program corresponding to this article can be obtained from the NTS Digital Supplement site "DigiFuro." *Supplement: R program (code) and CSV file*
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basic information
"Practical Food and Agriculture Data Science: From the Basics of R-based Analysis Programs to Application Examples" ■Format: B5 size, 224 pages ■Price: 30,000 yen + tax ■Authors: Shigehiko Kanaya et al. ■Publisher: NTS 1. Programming Basics Chapter 1: What is Food and Agriculture Data Science Chapter 2: Basics of R Programming Chapter 3: Statistics with Continuous Distributions Chapter 4: Statistics with Discrete Distributions 2. Practical Applications Chapter 5: Statistics in Food Analysis Chapter 6: Data Science of Coffee: Principal Component Analysis, Optimal Number of Clusters, Multiplicity Testing Chapter 7: Data Science of Barley Tea: Focusing on Machine Learning
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List price: 30,000 yen + tax
Price range
P2
Delivery Time
P2
Applications/Examples of results
Food analysis Coffee Barley tea Administrative data Rare ingredients
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