Complete Python Data Visualization Project Walkthrough with matplotlib and pandas
In this video, Dataquest’s Director of Curriculum, Anna Strahl, will walk you through how to uncover key traffic patterns on one of America’s busiest highways using exploratory data visualization.
You’ll take on the role of a data analyst working with real-world traffic volume data from I-94, applying Python, pandas, Matplotlib, and Seaborn to explore how factors like weather, time, and day of the week influence congestion. By the end of the session, you’ll have a solid grasp of how to combine multiple visualization techniques to analyze time series and detect traffic trends.
This project is ideal for learners comfortable with Python and looking to strengthen their data visualization skills in a real-world context.
What You'll Learn:
Exploratory Data Visualization: Learn how to uncover trends in traffic data using a combination of visual techniques.
Time-Based Patterns: Explore traffic behavior across times of day and days of the week.
Weather Impact: Analyze how weather conditions affect congestion.
Real-World Data Analysis: Use traffic data from Minnesota’s I-94 highway to find actionable insights.
Recommended Prerequisites:
Introduction to Data Visualization in Python → https://www.dataquest.io/course/explo...
Access the Project: https://www.dataquest.io/projects/gui...
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