A practical book for systematically learning data science related to food and agriculture from the basics using the statistical analysis software R.
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 and others ■Published by: NTS 1. Basics of Programming 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, Multiple Testing Chapter 7: Data Science of Barley Tea: Focused on Machine Learning
Price information
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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NTS selects reliable information from the overwhelming amount of information through seminars, publications, and literature information activities, and passes it on to the next generation. From abundance to certainty—that is the philosophy of NTS's activities.
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