Hamza Rafiq on Muck Rack

Hamza Rafiq

As seen in: MDPI, ZDNet
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Articles

Non-Destructive Near-Infrared Technology for Efficient Cannabinoid Analysis in Cannabis Inflorescences

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By Hamza Rafiq, Jens Hartung, Maximilian Vogt, Torsten Schober
| MDPI
All articles published by MDPI are made immediately available worldwide under an open access license. No special permission is required to reuse all or part of the article published by MDPI, including figures and tables. For articles published under an open access Creative Common CC BY license, any part of the article may be reused without permission provided that the original article is clearly cited. For more information, please refer to https://www.mdpi.com/openaccess.
Open in Who Shared Issue with article?

Business Analysis in R

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By Hamza Rafiq
| Towards Data Science
You will find a lot of great articles on people doing analyses of different datasets but it is difficult to find material related to business analysis in R. This was one of the main reasons why I have started this Business Analysis in R series so that I can share some of the useful ways you can analyze your data at work more efficiently. Before we move on, I would recommend that you have a basic understanding of the Tidyverse set of packages in R.
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