Yes, Ruby can be helpful in data analytics, though it is not as commonly used as Python or R. Ruby offers several libraries that can be leveraged for data analysis:
- Numo: Short for “Numerical Ruby,” Numo provides a range of mathematical and statistical functions, similar to NumPy in Python. It supports multi-dimensional arrays and efficient numerical operations1.
- NMatrix: This library is designed for linear algebra and matrix computations, making it useful for handling large datasets and performing complex calculations1.
- Daru: This library is used for data analysis in Ruby, offering functionalities similar to Pandas in Python. It allows for data manipulation, cleaning, and visualization2.
- Data Visualization: Ruby has libraries like Gruff and GnuplotRB for creating visualizations, which can be helpful in presenting data insights2.
While Ruby’s ecosystem for data analytics is growing, it may not be as extensive as Python’s. However, if you are already familiar with Ruby, it can be a viable option for data analysis tasks.
Are you considering using Ruby for a specific project or just exploring your options?
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