Some development environments for statistics are still in their infancy.Not all statistical methods are available.Future-proof due to continued growth in use in scientific and commercial fields.Professional development environments are available.Visualizations are appealing and easy to create.Extremely good community support from a large and constantly-growing community.Fully integratable (Git, teradata, PySpark, Hadoop, KNIME).Full availability of the latest Deep Learning and Machine Learning methods.Constant development by a large developer community.A large number of stable packages in the data science sector and beyond.Mature programming language, resulting in unit tests and debugging functionalities, for example.Offers the potential for object-oriented, structured, and functional concepts.Powerful, fully-functional programming language.
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