Don't open, data inside
"Walking distance" is defined as the distance that can be travelled by walking in a reasonable amount of time.
In this project, we analyse this distance within any neighbourhood from Natal, Brazil. Thus, we are able to evaluate the pedestrian accessibility at the city.
This is a recent version of the project made in 2019 available in this repository and described in Portuguese in this Medium post.
├── LICENSE
├── README.md <- The top-level README for developers using this project.
├── data
│ ├── external <- Data from third party sources.
│ ├── interim <- Intermediate data that has been transformed.
│ ├── processed <- The final, canonical data sets for modeling.
│ └── raw <- The original, immutable data dump.
│
├── notebooks <- Jupyter notebooks. Naming convention is a number (for ordering),
│ the creator's initials, and a short `-` delimited description, e.g.
│ `1.0-jqp-initial-data-exploration`.
│
├── reports <- Generated analysis as HTML, PDF, LaTeX, etc.
│ └── figures <- Generated graphics and figures to be used in reporting
│
└── requirements.txt <- The requirements file for reproducing the analysis environment
Project based on the cookiecutter data science project template. #cookiecutterdatascience