How do map and filter functions work in data analysis?

Can you explain how map and filter functions are used in data analysis?

Sure! The map function applies a given function to each item in a list, while filter removes items that don't meet a condition.

Can you give me an example of using map in Python?

Absolutely! In Python, you can use map like this: result = list(map(lambda x: x * 2, [1, 2, 3])), which doubles each number.

What about filter? How would that look in Python?

For filter, you can do something like this: result = list(filter(lambda x: x > 1, [1, 2, 3])), which keeps only numbers greater than 1.

Are there any performance considerations when using these functions?

Yes, using map and filter can be more efficient than loops, especially with large datasets, as they are optimized for performance.