This project is no longer maintained by Two Sigma. We continue to encourage independent development.
Disaggregating emissions to city level
- State-level fuel sales data disaggregated to the city-level based on population, vehicle owning population, and trip distances.
- What-a-waste data with city-level population data from 2016 and 2020 sourced from WorldPop estimates.
Directory Structure:
├── LICENSE
├── README.md <- The top-level README for developers using this project.
├── data
│ ├── whatawaste <- WhataWaste raw and processed data
│ ├── interim <- Intermediate data that has been transformed.
│ ├── processed <- The final, canonical data sets for modeling.
│ └── raw <- The original, immutable data dump.
│
├── notebooks <- Jupyter notebooks. fuel_sales_weighted_estimates contains the notebook for disaggregating state-level fuel sales down to city level
│
├── Pipfile <- The requirements file for reproducing the analysis environment,
│ to build the environment do `pipenv install` from the project directory
│
├── src <- Source code for use in this project.
Project based on the cookiecutter data science project template. #cookiecutterdatascience