1. Introduction
5 minStep 1 of 17
Pandas EDA on hourly weather readings — explore, filter, and answer data questions in a notebook
What you'll need
- •Jupyter Lab, VS Code notebooks, or Google Colab. Place weather-dataset.csv next to your notebook or update the path in read_csv.
Why this matters
Weather data is a classic intro to time-series EDA — the same pandas patterns apply to sales, logs, and sensor feeds in real jobs.
What you'll have at the end
A Jupyter notebook that answers 10+ questions about temperature, wind, visibility, and weather conditions from a full year of hourly data.
pandasEDAfilteringgroupbyvalue_counts
