Dataviz case using basedosdados, bigquery and geopandas.
I have always found being in contact with nature to be beneficial to my wellbeing, and I began to wonder if there might be a correlation between the presence of nature and overall wellbeing. To explore this idea, I decided to use forest area as a proxy for nature presence, and suicide rates as a potential negative proxy for wellbeing. While suicide rates are a poor measure of overall wellbeing due to their low resolution, I believe that this approach may help shed some light on the relationship between nature and mental health.
- Making this question more exact:
-
Is there a correlation between the extent of forested land in an area and the incidence of suicide? Well, apperently not (yey science!).
-
🇧🇷 (PT-BR): Existe alguma relação entre área de mata e incidência de suicídio nos municípios brasileiros? (não tem).
-
├── LICENSE
├── README.md <- The top-level README for developers using this project (also know as this file!)
├── data
│ ├── input <- Data for analysis
│ └── output <- Products of the analysis
├── notebooks <- Jupyter notebooks
│ └── drafts <- Draft jupyter notebooks
└── requirements.txt <- Packages used in the code
These instructions will get you a copy of the project up and running on your local machine for development and testing purposes.
You need to have the packages on requirements.txt installed. To do that, open the terminal and run:
pip install -U -r requirements.txt
- Daniel Brito - Code maker - @dbs-97
This project is licensed under the MIT License - see the LICENSE.md file for details.
- This README was adapted from A template to make good README.md
- The structure of this repository was adapted from Fast Project Templates