Dataset: You can download the Iris dataset from the following link and save
it as iris.csv:

Question:

You are provided with the Iris dataset, which contains
measurements of iris flowers from three species. The dataset has the
following columns:


• 
    
• sepal_length:
    Length of the sepal in centimeters
    
• sepal_width:
    Width of the sepal in centimeters
    
• petal_length:
    Length of the petal in centimeters
    
• petal_width:
    Width of the petal in centimeters
    
• species: Species of the iris
    flower (Iris-setosa, Iris-versicolor, Iris-virginica)





You need to perform the following tasks using the Pandas library:

    

: Read the Iris dataset from
    a CSV file named iris.csv.
    

:   

• Check for any missing values in the dataset and handle them appropriately (e.g., drop or fill).
        
• Ensure all species names are consistent (e.g., no leading/trailing whitespaces

:       

• Calculate the correlation matrix for the numerical columns.
        
• Identify the pair of features with the highest correlation and print them. 

:

• 
        
• Create a scatter plot to visualize the relationship between sepal_length and sepal_width, colored by species.
        
• Include labels for the axes and a title for the plot



Notes:


• 
    
• Make sure to import the necessary
    libraries: pandas for data manipulation
    and matplotlib or seaborn
    for plotting.
    
• Try to write clean and well-documented code, including
    comments explaining each step.




Good luck!