feat: create clean English version of Iris dataset notebook

Added Jupyter notebook for basic analysis of the Iris dataset.
- Loaded data using sklearn and converted to DataFrame
- Displayed structure, missing values, and summary statistics
- Grouped by species to compute mean measurements
- Included Markdown observations in English for clarity

Author: augusto-mate

iris_analysis.ipynb

@@ -0,0 +1,24 @@
+# Import libraries
+import pandas as pd
+from sklearn.datasets import load_iris
+
+# Load the dataset
+iris = load_iris()
+df = pd.DataFrame(iris.data, columns=iris.feature_names)
+df["species"] = pd.Categorical.from_codes(iris.target, iris.target_names)
+
+# Show first rows
+df.head()
+
+# Dataset info and null value check
+df.info()
+
+# Check for missing values
+df.isnull().sum()
+
+# Summary of numeric features
+df.describe()
+
+# Group by species and compute the mean
+df.groupby("species").mean()
+