README.md

Traffic indicators on I-94

Finding Heavy Traffic Indicators on I-94

Describe the project and add links

• I-94 Interstate highway
• UCI Machine Learning

What the project is about?

Your goal with this project:

"The goal of our analysis is to determine a few indicators of heavy traffic on I-94. These indicators can be weather type, time of the day, time of the week, etc. For instance, we may find out that the traffic is usually heavier in the summer or when it snows."

What was done?

• Analyzing Traffic Volume (day vs night, businessdays vs weekends, time of the day).
• Finding the correlation of weather variables with the traffic volume.
• Making data visualization: scatter, line and bar graphs.

Credits

This is a guided project from the DataQuest, from the Path Probability and Statistics with Python.

Folders

• data: dataset in .csv
• images: pictures in .png
• code: notebooks in Python saved as .ipynb

Setup

The code was made and run in the DataQuest platform using:

• Jupyter Notebook
• pandas
• Matplotlib

The Dataset

Write about the dataset

Descriptions of the variables (source: Metro Interstate Traffic Volume Data Set):

• holiday: Categorical US National holidays plus regional holiday, Minnesota State Fair
• temp: Numeric Average temp in kelvin
• rain_1h: Numeric Amount in mm of rain that occurred in the hour
• snow_1h: Numeric Amount in mm of snow that occurred in the hour
• clouds_all: Numeric Percentage of cloud cover
• weather_main: Categorical Short textual description of the current weather
• weather_description: Categorical Longer textual description of the current weather
• date_time DateTime: Hour of the data collected in local CST time
• traffic_volume: Numeric Hourly I-94 ATR 301 reported westbound traffic volume

References

• Anatomy_of_a_graph
• Scatterplots-Mathisfun
• Scatterplort-catalogue
• Correlation-Mathisfun