Main executable for DataDoggo Application -> Homepage.py
Written in Python, Uses Pandas for data-operations on custom datasets.
The application is ready to go, but in-order for you to run in on your systems, But some modifications in the core code is required.
* Kindly sign up on Pixabay and add your API Key on line 205.
* Enter your pixabay API Key Here (by replacing the #)
* Run The Application by using : streamlit run Homepage.py
You may save your time and install the prerequisites for the DataDoggo application in a Python Virtual Environment.
Use the below commands to run a local version of DataDoggo on your system :
* pip install virtualenv
* virtualenv datadoggo
* source datadoggo/bin/activate
* pip install -r /datadoggo/requirements.txt
Made for web using Streamlit <3 A Live version can be found at the homepage of this repo!
* Population Analysis : 2022
* Religion Analysis : 2022
* National Leader : 2018
* Happiness Rank : 2020
* Freedom Rank : 2022
* Press Freedom Index : 2018
* Democracy Ratings : 2022
* COVID-19 Data : 2022
* GDP Stats : 2021
* Economy Analysis : 2022
* Development Analysis: 2022
* Energy Production : 2019
Due to Un-serialized/unreliable data, 33 Countries Below are omitted
* Andorra
* Anguilla
* Bonaire
* British Virgin Islands
* Cayman Islands
* Dominica
* Falkland Islands (Malvinas)
* Gibraltar
* Holy See
* Isle of Man
* Liechtenstein
* Monaco
* Montserrat
* Saint Helena
* Saint Kitts and Nevis
* Saint Pierre and Miquelon
* Tokelau
* Tuvalu
* American Samoa
* Channel Islands
* Faroe Islands
* French Guiana
* Guadeloupe
* Guam
* Martinique
* Mayotte
* Niue
* Northern Mariana Islands
* United States Virgin Islands
* Wallis and Futuna Islands
* Western Sahara
* San Marino
* Sint Maarten (Dutch part)