R Iris Dataset: Usage & Visualization

To use the iris dataset in R language, follow these steps:

1. Load the iris dataset.
2. Load the iris dataset.
3. View the structure and content of the dataset:
4. str(iris) # View the structure of the dataset
   head(iris) # View the first few rows of the dataset
   summary(iris) # View the summary statistics of the dataset
5. Various operations can be performed using variables from the dataset, such as creating scatter plots, box plots, etc.
6. – Create a scatter plot of Sepal.Length against Sepal.Width from the iris dataset, with different colors representing different species.
   – Generate a boxplot of Sepal.Length grouped by species from the iris dataset.
7. Conduct data analysis and modeling:
8. Using a classification tree as an example, the rpart library is used to create a model that predicts the Species of iris based on its various variables. Print the model to see the results.

This allows for various data operations and analysis to be carried out on the iris dataset. The iris dataset is a classic dataset commonly used for teaching and practicing machine learning and data analysis.