You are given arrays of time and angle data from a pendulum experiment. Your task is to write a function that analyzes this data to determine the period of the pendulum's oscillation and visualize its motion.

Follow these steps:

• Define a function that takes two arguments: a time array and an angle array, both of the same length.
• Plot the angle as a function of time using matplotlib to visualize the pendulum's oscillations. The plot must include:
  • A labeled x-axis ('Time (s)') and y-axis ('Angle (degrees)').
  • A title (such as 'Pendulum Oscillation').
  • A legend indicating the plotted data.
• Use scipy.signal.find_peaks to detect the local maxima (peaks) in the angle data. These peaks correspond to the times when the pendulum reaches its maximum displacement in each oscillation.
• Determine the times corresponding to these detected peaks.
• Calculate the differences between successive peak times to estimate the period of each oscillation.
• Compute the average of these periods to obtain the pendulum's overall period.
• If fewer than two peaks are detected (i.e., it is not possible to compute a period), your function should return None.
• Print the computed period (or None if not enough peaks are found) and return it as a float value (or None).

This function will help you practice extracting physical parameters from experimental data and visualizing oscillatory motion. Accurate peak detection is essential for reliable period estimation.