Which is better for data analysis: R or Python?

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Kalaiselvi

Online Mathematics tutor with 8 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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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. read less
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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. read less
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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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Can anyone help me with the below programs: A) which returns orger summary as a list with 2- tuples. Each tuple consists of the order number and the product of the price per items and the quantity. OUTPUT: [ ('34587',163.8),('98762',284.0),('77226',98.85),('88112',74.97) ]. 10 INR should be increased in the product if the value of the order is smaller than 100.00 INR. OUTPUT: [ ('34587',163.8),('98762',284.0),(77226',108.85),('88112',84.97) ]
Can't solve because product price is a part of the tuple. Since LIST IS MUTABLE so we can change its elements. We can change the whole tuple because it is an element of the list. As WKT TUPLE IS IMMUTABLE so we can't change its elements.
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Is learning Tally good or is learning Advanced Excel and Python good? Which one will be better for getting a job? What would be the general cost of learning Tally, Advanced Excel and Python? Which are the best tutors or institutes near to Kudlu Gate and Electronic City?

 

 
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