Exploring and Visualizing a Simple Dataset

Objective:

Learn how to load, inspect, and visualize a dataset to understand data trends and distributions.

Dataset:

Iris Dataset (CSV format, can be loaded via seaborn or downloaded)

Instructions:

• Load the dataset using pandas.
• Print the shape, column names, and the first few rows using .head().
• Use .info() and .describe() for summary statistics.
• Visualize the dataset:
  • Create a scatter plot to show relationships between features.
  • Use histograms to show value distributions.
  • Use box plots to identify outliers.
• Use matplotlib and seaborn for plotting.

Skills:

• Data loading and inspection using pandas
• Descriptive statistics and data exploration
• Basic plotting and visualization with seaborn and matplotlib