Performing descriptive statistics analysis in Python

As shown in Figure 3.11, the missing values have the removed, the species name has been corrected, and the first row has been removed. This means that the df object is now clean of any invalid data and can be used for further analysis.

The next step is essential and is called EDA:

#Perform the descriptive statistics in Iris dataset
df.describe()

Here’s the output:

Out[2]:
       Petal_width  Petal_length  Sepal_width  Sepal_length
count   144.000000    144.000000   144.000000    144.000000
mean      1.239583      3.854167     3.045139      5.881944
std       0.751336      1.736078    ...