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Python > Learn Python > Which is better for data analysis: R or Python?
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Which is better for data analysis: R or Python?

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Online Mathematics tutor with 4 years experience(Online Classes for 10th to 12th)

Both open source programming languages are supported by large communities, continuously extending their libraries and tools. But while R is mainly used for statistical analysis, Python provides a more general approach to data wrangling.
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Data Analyst with 10 years of experience in Fintech, Product ,and IT Services

Both R and Python are excellent for data analysis, but they each have strengths: - **R**: Tailored for statistics and data visualization, with a rich set of packages and tools specifically designed for data analysis and statistical modeling. - **Python**: More versatile and integrates well with other...
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Both R and Python are excellent for data analysis, but they each have strengths:

- **R**: Tailored for statistics and data visualization, with a rich set of packages and tools specifically designed for data analysis and statistical modeling.

- **Python**: More versatile and integrates well with other technologies. It has strong libraries for data analysis (like Pandas) and machine learning (like scikit-learn).

Choosing depends on your specific needs and existing skills. R is great for advanced statistical analysis, while Python offers broader application and integration.

Here is my number Call 073-1485-0321.

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"Transforming your struggles into success"

Python and R are both excellent for data analysis, but each has its strengths. **Python** is highly versatile with powerful libraries like Pandas, NumPy, and Matplotlib, and is well-suited for integrating data analysis into broader applications. **R** is specifically designed for statistical analysis...
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Python and R are both excellent for data analysis, but each has its strengths. **Python** is highly versatile with powerful libraries like Pandas, NumPy, and Matplotlib, and is well-suited for integrating data analysis into broader applications. **R** is specifically designed for statistical analysis and data visualization, with a rich set of packages like ggplot2 and dplyr tailored for these tasks. The choice often depends on your specific needs: Python for general-purpose programming and integration, or R for specialized statistical analysis and visualization.

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My teaching experience 12 years

Both open source programming languages are supported by large communities, continuously extending their libraries and tools. But while R is mainly used for statistical analysis, Python provides a more general approach to data wrangling.
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