The repository contains Air pollution data simulation in Dublin for a period from 7th December 2020 to 31st January 2021.
The project has the following features:
- Real air pollution data with 192 data points across eight variables.
- Investigation of the types of variables involved, their likely distributions, and their relationships with each other.
- Simulated data set as closely matching the real data.
Submitted by: Olga Rozhdestvina (Student No: G00387844)
Lecturer: Brian McGinley
Programming Language used: Python
Applications used for completion of the assignment: The Jupyter Notebook and cmder
Python distribution: Anaconda Python distribution.
Libraries used in the Jupyter Notebook: NumPy, Pandas, Matplotlib, Seaborn, SciPy. All of these are installed with the Anaconda Python distribution.
- Make sure that you have Python installed
- Download or clone current repository "Air-Pollution-in-Dublin"
- Open Command Interpreter and get into correct directory
- Install packages by running pip install -r requirements.txt (recommended through virtual environment to avoid possible break of system tools or other projects)
- Run Jupyter notebook
- On the home page of opened Jupyter server select Dublin_Air_Pollution.ipynb
This project is licensed under the MIT License - see the LICENSE.md file for details