What are the best tools for exploratory data analysis (EDA)?
Some of the best tools for EDA include Python libraries like Pandas and Matplotlib, R with ggplot2, and Tableau.
Can you explain why Pandas is a good choice for EDA?
Pandas is great for EDA because it provides powerful data manipulation capabilities and easy-to-use data structures.
What about visualization tools? Which ones do you recommend?
For visualization, I recommend Matplotlib and Seaborn for Python, and ggplot2 for R. They offer great flexibility and aesthetics.
Are there any tools specifically for handling large datasets?
Yes, tools like Dask and Apache Spark are excellent for handling large datasets efficiently during EDA.
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