imisi-akande/tfare-watch

This project wrangles and prepare transport fare data into CSV files # tfare-watch This project contains wrangling of the `transport fare dataset` in Nigeria from the year January 2016 to March 2020. The dataset contains average transport fare per month for five means of transportation: air, intercity, intracity, motorcycle and water. The percentage of all transport fare routes per year was obtained from the existing average transport fare per month and read into CSV files. ## Instructions - Enter your terminal: - Clone the repository: - ```github.com``` - Change Directory into tfare-watch: - ```cd tfare-watch``` - Create a virtual environment: - ```python -m venv tfare-env``` - Activate the environment: - ```source tfare-env/bin/activate``` - Install the packages: - ```pip install -r requirements.txt``` - Add your virtual environment to Jupyter: - ```python -m ipykernel install --user --name=tfare-env``` - Start notebook: - ```jupyter notebook``` - Project composition: - `InitialDataWrangling.ipynb:` The interactive environment that displays the step by step wrangling of the transport fare dataset and exports all resulting dataframes as CSV files - `data:` The folder that embeds the resulting CSV files which in turn contains the percentage of all transport fare routes per year. This files are five in number.