Week 7: Python Data Analysis & Visualization – Iris Dataset

Objective

This assignment demonstrates basic data analysis and visualization using Python. The primary goal is to:

• Load and explore a dataset using pandas
• Perform basic statistical analysis
• Visualize the data using matplotlib and seaborn

Dataset

The Iris dataset was used. It contains measurements of 150 iris flowers from three different species:

• Setosa
• Versicolor
• Virginica

Each flower has four features:

• Sepal Length
• Sepal Width
• Petal Length
• Petal Width

Technologies Used

• Python
• Pandas
• NumPy
• Matplotlib
• Seaborn
• Jupyter Notebook
• scikit-learn (for loading the dataset)

Task 1: Data Loading and Exploration

• Loaded the Iris dataset
• Displayed first few rows
• Checked for missing values and data types

Task 2: Basic Data Analysis

• Descriptive statistics
• Grouped data by species
• Identified patterns and insights

Task 3: Data Visualization

• Line chart (mean features per species)
• Bar chart (average petal length by species)
• Histogram (sepal width distribution)
• Scatter plot (sepal length vs. petal length)