Dashboard to display visualizations from World Bank data
The code in this project is written in Python 3.6.6 :: Anaconda custom (64-bit). The following additional libraries have been used:
- pandas
- plot.ly is a library to plot graphs in Python.
- flask for back-end/front-end integration
- json
I really enjoyed imoplementing a webapp in python from scratch to fully understand how it works integrating Bootstrap, flask and Python. The app visualized the Top 10 world Economies Land Usage from 1990 to 2015.
The following Pythom files included in this project are:
- worldbank.py
- requirements.txt
- wrangling_scripts/wrangle_data.py
- worldbankapp/routes.py
You can visualize the dashboard on heroku
For licensing see LICENSE file. The intial code comes from projects I worked on during udacity's Data Science Nanodegree. The code has then been refactored into Python object-oriented modules.