Heroku changed policies on November 28 2022, hence above link does not work.

Goal of this project is to compare Finland, Denmark, Switzerland, Canada and USA in following areas: unemployment, employment in agriculture, inflation, and mortality caused by road traffic injury, for timespan of 20 years (2000 – 2020). Data is extracted automatically through World Bank Open Data indicators APIs. Following is a description of each chart.

Chart 1: Percentage of labor force that is without work but available for and seeking employment.

Chart 2: Percentage of women vs men employed in agriculture. Sector of agriculture consists in activities such as hunting, forestry and fishing.

Chart 3: Percentage of inflation as measured by consumer price index.

Chart 4: Mortality caused by road traffic injury per 100,000 population.

Code in the workspace folder runs in Ubuntu 22.04.1 LTS and Anaconda for Linux. Libraries needed to run the project locally are: Flask, Pandas, Plotly, Gunicorn, Requests, Matplotlib and Plotly.Express. For deploying the web app, create an account to Heroku. Below steps show how the project can be run locally.

# Update Python
conda update python

# Create a virtual environment
python3 -m venv worldbankvenv

# Activate the new environment (Mac/Linux)
source worldbankenv/bin/activate

#In addition to the existing Python packages in the new environment. Pip install following packages.

pip install flask pandas plotly gunicorn requests matplotlib plotly.express

#Install Heroku 

curl https://cli-assets.heroku.com/install-ubuntu.sh | sh

#Verify Heroku has been properly installed

heroku login -i

#Initialize git repository 

git init

#Configure email and username for git
git config --global user.email "[email protected]"
git config --global user.name "Your Name"

# Check which files that need to be committed

git add .
git status
git commit -m "example_message"

#Create a Heroku app

heroku create app_example_name

# Set environment variable to pass along with the push

heroku config:set SLUGIFY_USES_TEXT_UNIDECODE=yes
heroku config:set AIRFLOW_GPL_UNIDECODE=yes

# Verify the variables

heroku config

#Push changes to Heroku remote repo

git push heroku master

Data for this project was extracted via API provided by World Bank Open Data.