Analisis de los datos relevados por sysarmy en enero de 2017
https://sysarmy.com.ar/blog/2017/02/resultados-de-la-encuesta-salarial-enero-2017/
├── 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`.
│
└── requirements.txt <- The requirements file for reproducing the analysis environment, e.g.
generated with `pip freeze > requirements.txt`
Crear un virtualenv con python 3 e instalar los requisitos:
$ virtualenv venv -ppython3
$ source venv/bin/activate
(venv) $ pip install -r requirements.txt
Bajar los datos curados
(venv) $ http -d https://docs.google.com/spreadsheets/d/14lPxK03doSVttCPwLmmafDuRuYRjNO4Bk2a781VK0oo/export\?format\=csv\&id\=14lPxK03doSVttCPwLmmafDuRuYRjNO4Bk2a781VK0oo\&gid\=689338915 -o data/interim/sueldos.csv
Ahora pueden ejecutar jupyter notebook.
Project based on the cookiecutter data science project template. #cookiecutterdatascience