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Given the following text description, write Python code to implement the functionality described below step by step
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Description:
 Have a look at the data
Here are some examples how to get a peak at the data. If we need an interactive plot of the raw-data, we can use the
plotutils.raw_plot function. If we would like to see some statistics for some of the cycles, the plotutils.cycle_info_plot is your friend. Let´s start by importing cellpy and the plotutils utility
Step1:  And let´s load a data-set
Step2:  If you have holoviews installed, you can get an interactive figure
Step3:  Sometimes it is necessary to have a look at some statistics for each cycle and step. This can be done using the cycle_info_plot-method
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Python Code:
import cellpy
from cellpy.utils import plotutils
Explanation: Have a look at the data
Here are some examples how to get a peak at the data. If we need an interactive plot of the raw-data, we can use the
plotutils.raw_plot function. If we would like to see some statistics for some of the cycles, the plotutils.cycle_info_plot is your friend. Let´s start by importing cellpy and the plotutils utility:
End of explanation
cell = cellpy.get("../testdata/hdf5/20160805_test001_45_cc.h5", mass=0.8)
Explanation: And let´s load a data-set:
End of explanation
plotutils.raw_plot(cell)
Explanation: If you have holoviews installed, you can get an interactive figure:
End of explanation
fig = plotutils.cycle_info_plot(
    cell,
    cycle=3,
    use_bokeh=False,
)
Explanation: Sometimes it is necessary to have a look at some statistics for each cycle and step. This can be done using the cycle_info_plot-method:
End of explanation
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