Economics Starter: Python Basics with Sample Data
This snippet is a compact, ready‑to‑run notebook that guides beginners through loading, cleaning, analyzing, and visualizing simple economic datasets using pandas and matplotlib. The included sample data is pulled from publicly available sources and includes price indices and GDP figures.
The workflow is:
- Import libraries –
pandasandmatplotlib.pyplot. - Load CSV – read the sample data into a DataFrame.
- Descriptive stats – compute mean, median, and standard deviation.
- Visualize – create line and bar charts to illustrate trends.
The code is intentionally lightweight, requiring only pandas and matplotlib, which are already staples in most data‑science environments. Comments are added throughout to explain each step, making it easy to modify for your own data or extend the visualizations.
This resource is aimed at students, educators, and hobbyists who want a quick, hands‑on introduction to economic data analysis without getting bogged down in setup.
