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Introduction
Series
6. Operations on Series
What DataFrames are
DataFrame columns
DataFrame rows
Filtering rows and columns
Filtering data frames
Sorting rows
Summary

## Instruction

Good job. Series are very convenient when we want to perform an operation on all elements in a certain way. Consider this example:

magic_numbers = pd.Series([100, 200, 300, 400, 500, 600])
magic_numbers/10

The code above will divide every element of magic_numbers by 10. This means we will get

[10.0, 20.0, 30.0, 40.0, 50.0, 60.0]
Note that because of division, the elements were converted to floats (i.e. fractions - numbers with decimal points).

## Exercise

Add five to all elements of the respondents_age Series.

### Stuck? Here's a hint!

Simply write:

respondents_age + 5
on a new line.