A world map of how people of different countries say a word.
country.csv contains countries and their latitude and longitude, the file is collected from: https://developers.google.com/public-data/docs/canonical/countries_csv
country_list.csv contains major language of each country with language code. The file is collected from: http://www.fullstacks.io/2016/07/countries-and-their-spoken-languages.html
join-country-and-language-data.py is used to merge these two files and create a csv and a json file that contains country code, country name, latitude, longitude information along with major language of the country.
The app uses streamlit, all the required packages can be installed using pip install -r requirements.txt.
To run the app, run streamlit run src/app.py. Please note that, the number of translated text may be less than the Number of countries to show specified in the slider because the dataset used has missing entries for some countries.
To run using Docker image, first build the docker image using docker build -t word-map:<tag> . and run using docker run -d -p 80:80 word-map:<tag>.
Deployed to Microsoft Azure: https://word-map.azurewebsites.net/.
- Dataset for the languages of the countries collected from http://www.fullstacks.io/2016/07/countries-and-their-spoken-languages.html has some misinformation and missing entries, need to use or create a correct one.