In the context of Data Science, which tool is most commonly used for data manipulation and analysis due to its extensive libraries and ease of use?
- Excel
- R
- Python
- SQL
Python is commonly used in Data Science for data manipulation and analysis due to its extensive libraries like Pandas and ease of use. It provides a wide range of tools for working with data and is highly versatile for various data analysis tasks.
Loading...
Related Quiz
- After clustering a dataset, you notice that some data points are far from their respective cluster centroids. What might these points represent, and how can they be addressed?
- Which variant of RNN is specifically designed to combat the problem of vanishing and exploding gradients?
- What is a potential consequence of biased algorithms in AI systems?
- What is one major drawback of using the sigmoid activation function in deep networks?
- Which EDA technique involves understanding the relationships between different variables in a dataset through scatter plots, correlation metrics, etc.?