Which is better for data visualization, R or Python?

Which is better for data visualization, R or Python?

Both R and Python have strong visualization libraries. R is known for ggplot2, while Python has Matplotlib and Seaborn.

What are the advantages of using R for visualization?

R offers a rich ecosystem for statistical analysis and has advanced visualization capabilities, especially for complex data.

How does Python's visualization compare in terms of ease of use?

Python's libraries like Matplotlib and Seaborn are user-friendly and integrate well with other data science tools, making them accessible.

Can you give examples of projects where R is preferred over Python?

R is often preferred in academia and research projects, especially in fields like bioinformatics and social sciences.

What about the performance of R vs Python in handling large datasets?

Python generally performs better with large datasets due to its efficient data handling libraries like Pandas.