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.

1. Create a new virtual environment with your prefered tools

python -m venv env

2. Copy the repositiory https://github.com/jairotunior/dashboard_tutorial.git
3. Install the dependencies

pip install -r requirements.txt

4. 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.
5. 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.
6. 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