Hands-On Industrial Internet of Things

Step 2 – EDA

The first step shows the data:

import matplotlib.pyplot as pltimport seaborn as sns# showing datasetdf.plot(x='Time', kind='line', subplots=True)plt.show()

The result will be similar to the following:

Time-series of flight

It is easy to see that when Flaps is anything other than zero, the airplane is taking off or landing, so we should not consider this time frame. The following code drops the two variables from the dataset:

# drop data during landingdf = df.drop(df[df['Flaps']>0].index)df = df.drop(df[df['Landing_Gear']>0].index)

The dataset is good, so we don't need to clean it. We can now analyze the standard deviation of a ...