Exercise

# Computing aggregations

You'll now compute summary statistics by *aggregating* NumPy arrays across various dimensions (in this case,
giving trends in electricity usage).

The `load_recent_3d`

NumPy array from the last exercise is provided for you. It contains
the electricity load (in kWh) sampled every 15 minutes from the start of 2013 to the end of 2015.
The possible index values of the three-dimensional array correspond to year (from 0 to 2), day (from 0 to 364), and 15-minute interval (from 0 to 95); remember, NumPy arrays are indexed from zero.
Thus, `load_recent_3d[0,1,2]`

is the electricity load consumed on January 2nd, 2013 from 00:30:00 AM to 00:45:00 AM.

Instructions 1/4

**undefined XP**

Print the mean value of all values in `load_recent_3d`

.