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Both R and Python are great for data analysis:
- **Python**: It's a versatile programming language with libraries like Pandas and NumPy for data analysis and Matplotlib for plotting. It's widely used and integrates well with other tools.
- **R**: It's specialized for statistics and data visualization. It has powerful packages like ggplot2 for making graphs and dplyr for data manipulation.
Choose **Python** if you need a versatile tool for various tasks, or **R** if you focus mainly on statistical analysis and detailed graphs.
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Vivek Joglekar
Wroking in IT industry from last 15 years and and trained more than 5000+ Students. Conact ME
Both R and python are good for data analysis. The best language depends on the type of data you are working with.
R is a good choice for statistical learning,research and data visualization. Its specially good for statisticians who need to develop static models. But R has single thread processing,which one may cause delays when working with large set of data.
Python is a good choice for Machine learning, Large scale applications and data analysis in web applications. Its a general purpose language which can be used for a wide range of tasks.It also supports web scraping and data processing.Pandas library in python is more famous for data analysis. Meanwhile python supports multi threading which makes it easier to handle huge data.
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