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Dashboard that pulls data directly from World Bank API displaying data baseds on indicators.
The code was developed using Python versions of 3.* as well as Bootstrap 4, Flask
, pandas
and request
. For deployment, the package gunicorn
needs to be installed as well.
The dashboard was developed to provide an overview of top 10 world economies land use related information in interactive graphs to allow end-user to explore its different dimensions. Plotly
was used to make plots dynamic.
myapp
: folder with all rendering of the frontend of the web app HTML
, CSS
and Python
filed.requirements.txt
, Procfile
, myapp
: these files are used for deployment of the dashboard.The underlying data for analysis is pulled from the World Bank api. Feel free to use the code to add additional features to the data dashboard.
Press p or to see the previous file or, n or to see the next file
Are you sure you want to delete this access key?
Are you sure you want to delete this access key?
Are you sure you want to delete this access key?
Are you sure you want to delete this access key?