1. Plot the raw data with a time axis in hours. 2. Plot the power spectrum of your raw data as a function of frequency (in mwithout any windowing 3. Plot the power spectrum of your raw data after . removing the minor linear trend in the same way as Lab 3, and subsequently . applying a hanning window wn = 1 _cos(2714 ); 0 < n < N (where N is the length of the data file) 4. Plot on top of each other the power spectra from 2 and 3 between [0.1, 2.6 ] mHz, and com ment on the difference. 5. Using plt.annotate (. . . )identify any normal modes you can see . Use the provided modes.pdf (Table 1) to help guide your identification