Marcos A. Cavalcanti Junior
This project is an study about Homicides and Femicides in Brazil, involving data visualization in maps.
The data used in this project is from the Brazilian Yearbook on Public Security 2018.
This is the folders hierarchy:
root
├── csv
│ ├── estupro-por-capital.csv
│ ├── estupros-por-uf.csv
│ ├── homicidios-por-capital.csv
│ ├── homicidios-por-uf.csv
│ ├── homi-feminicidios-por-uf.csv
│ └── lesao-corporal-por-uf.csv
├── notebook
│ ├── 2019-05-20-macj-initial-exploration-cleaning.ipynb
│ └── 2019-05-20-macj-preparation.ipynb
├── src
│ ├── ANUARIO_12_vfinal_22fev19.xlsx
│ └── dados.ods
├── DEV.md
└── README.md
The src folder contains spreadsheets from the Brazilian Yearbook and other spreadsheets made to generate the datasets.
The notebook folder contains the notebooks created during the development of the project.
The csv folder contains the datasets in CSV format generated from the Brazilian Yearbook.
The notebooks are developed to run both on Jupyter and Google Colaboratory (Colab) without effort. Just open and run them.
A function is designed to read a local CSV file, by its name or its path, or a remote one, by its URL. This function returns a pandas DataFrame.
This way, a notebook can be runned on Jupyter, reading the local file, or on Colab, reading the uploaded or remote file.
To run on Jupyter, just type jupyter-notebook on terminal from root directory.
To run on Colab, just upload the project folder (or the notebook itself) to Google Drive. Optionally, upload the datasets.