This project analyzes traffic data from Prayagraj, India, using Python and various data visualization libraries. The analysis includes peak traffic times, traffic patterns by intersection, and traffic trends by day of the week. The project utilizes pandas for data manipulation and seaborn and matplotlib for visualization.
The dataset used in this project is Prayagraj_Traffic_Data.csv, which contains the following columns:
timestamp: The date and time of the traffic observation.intersection_name: The name of the intersection where the data was recorded.vehicle_count: The total number of vehicles recorded at the intersection.- Other relevant fields (please refer to the dataset for more details).
To run this project, you will need to have Python installed on your system along with the following packages:
- Pandas
- Matplotlib
1.You can install the required packages using pip: pip install pandas seaborn matplotlib 2. You need to download the csv file and keep it in a folder along with the code file and and make sure the path inside the code file matches the path in code and then you are all set. 3. Make sure you have matplotlib extension downloaded if running in code editiors like vs code.
- Ayush Jadaun - 20244048
- Vishu sharma - 20244176