aDataset:

You can download the Iris dataset from the following link and save it as 11S CSV:

Full Screen

Download Iris Dataset

Full Screen

Question:

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

sepai length: Length of the sepal in centi

sepal wiath: Width of the sepal in centimetess

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 xersicolor. Iris xirginica)

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

1. Load the Dataset: Read the Iris dataset from a CSV file named i 15 CSV.

2. Data Cleaning:

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 whitespace).

3. Correlation Analysis:

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

. Data Visualization:

Create a scatter plot to visualize the relationship between sepa l Leng th and sepal width, colored by species.

Include labels for the axes and a title for the plot.