Exercise—Deploy a Data Dashboard

World Bank API Data Dashboard

Installation

• python3
• python packages required in the requirements.txt file

Install packages: pip install -r requirements.txt

To start the web app on MacOS/Linux system:

• Open terminal
• Go into the directory of the web app files
• Run python worldbank.py

Exercise Goal

The project was completed in a series of exercises to enhance web development skills as part of the Data Science Nanodegree on Udacity.

Deploy a web app with visualizations on Heroku as back-end service. Use the web framework Flask which takes care of all the routing needed to organize the web page.

Most of the work involves:

1. Wrangling the chosen dataset extracted from World Bank API to get the data in the desired format.
2. Writing Python code to read in the data set and set up plots using Plotly.
3. Modify HTML using the Bootstrap library to get the desired website design and information.

File Description

• index.html stored inside the worldbankapp folder contains the HTML font-end code
• wrangle_data.py contains python code to create plotly visualizations using the World Bank API

Outcome

Link to the web app https://economic-indicators-webapp.herokuapp.com

The web app offers a World Bank Data Dashboard with the following socio-economic indicators:

• Population Growth Rate
• Unemployment Rate
• Rate of Female to Male Labor Force Participation Rate
• CO2 Emissions
• GDP Growth Rate

Licensing, Authors, Acknowledgments

Open-source data from https://data.worldbank.org.