Finding Heavy Traffic Indicators on I-94
- Guided Project
- 1.6 hours
- Intermediate
- Python
Practice exploratory data visualization in Python using pandas, Matplotlib, and Seaborn to find indicators of heavy traffic on I-94.
Overview
In this project, you'll take on the role of a data analyst tasked with exploring a dataset on westbound traffic on the I-94 Interstate highway. Applying skills in exploratory data visualization using Python libraries like pandas, Matplotlib, and Seaborn, you'll analyze traffic volume data recorded by a station midway between Minneapolis and Saint Paul.
Your objective is to determine key indicators of heavy traffic on I-94, which could include weather type, time of day, or day of the week. By examining traffic volume patterns across various conditions, you'll uncover insights to characterize peak congestion times on this busy highway. This project will strengthen your ability to combine and apply data visualization techniques to extract meaningful findings from real-world data.
Objective: Use exploratory data visualization to identify the primary factors contributing to heavy westbound traffic on I-94 based on weather, time, and day of week indicators.
What You'll Learn
- ✓ Create and interpret histograms to understand traffic volume distributions
- ✓ Use time series visualizations to identify daily, weekly, and monthly patterns
- ✓ Build side-by-side plots for effective comparisons
- ✓ Analyze correlations between weather conditions and traffic volume
- ✓ Apply grouping and aggregation techniques for time-based analysis
- ✓ Combine multiple visualization types to tell a complete data story
Before You Start
- ✓ Plotting various graph types using the Matplotlib library
- ✓ Visualizing and interpreting time series, correlations, and frequency distributions
- ✓ Generating and comparing graphs using pandas and grid charts
- ✓ Building relational plots using seaborn to represent multiple variables
Project Steps
10 steps
- 1 The I-94 Traffic Dataset
- 2 Analyzing Traffic Volume
- 3 Traffic Volume: Day vs. Night
- 4 Traffic Volume: Day vs. Night (II)
- 5 Time Indicators
- 6 Time Indicators (II)
- 7 Time Indicators (III)
- 8 Weather Indicators
- 9 Weather Types
- 10 Next Steps
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