| Student Name | Student ID |
|---|---|
| Hamza Khalid | S4312186 |
| Milind Dev Janghu | S4319403 |
| Hajra Batool | S4318303 |
| Sandeep Kumar | S4313281 |
- Hamza Khalid: Worked on exploratory data analysis, the check trends on available dates, Correlations, geographical heatmaps, trends analysis (i.e. forecasting for the year 2015) using Prophet in Python.
- Milind Dev Janghu: Worked on finding relationships in the data and comparitive analysis.
- Hajra Batool: Worked on basic data cleaning and checks and some visualizations also.
- Sandeep Kumar: Worked on data cleaning and categorical data insights.
The following libraries are used for this project:
- Sweetviz: Auto exploratory data and descriptive analysis in python.
- Prophet: Time series forecasting module.
- Pandas: Data Manipulation library.
- Numpy: Used for numeric computations.
- Seaborn: Data Visualization module.
- Matplotlib: Data visualization module.
- Plotly: Dynamic data visualization module.
- Dataset: 1.6 million UK traffic accidents (accidents_2012_to_2014.csv)
- The dataset used for the project was obtained from Kaggle.
- URL: [https://www.kaggle.com/datasets/daveianhickey/2000-16-traffic-flow-england-scotland-wales?select=accidents_2012_to_2014.csv]