10. Analyzing Air Quality

Activity 10.01: Checking for Outliers

1. Plot a boxplot for the PM25 feature using seaborn:

   pm_25 = sns.boxplot(air['PM25'])

   The output will be as follows:

   

   Figure 10.50: Boxplot for PM25

2. Check how many instances contain values of PM25 higher than 250:

   (air['PM25'] >= 250).sum()

   The output will be as follows:

   18668

3. Store all the instances from Step 2 in a DataFrame called pm25 and print the first five rows:

   pm25 = air.loc[air['PM25'] >= 250]
   pm25.head()

   The output will be as follows:

   

   Figure 10.51: First five rows of pm25

4. Print the station names of the instances in PM25 to ensure all the instances are not just from one station, but from multiple stations. This reduces the chances of them being incorrectly stored values:

   pm25.station.unique()

   The output will be as follows:

   array(['Aotizhongxin', 'Changping', 'Dingling', 'Dongsi', 
          &apos...