This dashboard integrate different economic sources letting you add the desired time serie to be analysis.
The data sources integrated are:
- Federal Reserve - Economic Research from Federal Reserve of St. Louis
- Nasdaq Data Link - A premier source for financial, economic and alternative datasets.
Additonally, you could integrate data series from CSV Files.
These instructions will get you a copy of the project up and running on your local machine for development and testing purposes.
- Create a new virtual environment with your prefered tools
python -m venv env
- Copy the repositiory https://github.com/jairotunior/dashboard_tutorial.git
- Install the dependencies
pip install -r requirements.txt
- Get the API Key from Economic Research of Federal Reserve of St. Louis (https://fred.stlouisfed.org) and save the API Key in a file called 'api_fred.txt' in the root of the project.
- Get the API Key from Nasdaq Data Link (https://data.nasdaq.com/tools/api) and put the API KEY in the variable quandl_api_key in run_dashboard.py file.
- Now run the dashboard with:
python run_dashboard.py
That's all for use.
- Pandas - pandas is a fast, powerful, flexible and easy to use open source data analysis and manipulation tool
- Numpy - Is the fundamental package for scientific computing with Python.
- Python - The most amazing Programming Language.
- Panel - Panel is an open-source Python library that lets you create custom interactive web apps and dashboards
This project is licensed under the MIT License - see the LICENSE.md file for details