Repository for 'Basics of Data Analysis and Visualization. Communicating Insights with Stakeholders' during KSE course supported by UNITAC and partners
Prerequisites: You need to have Docker and Docker-compose installed on your machine
docker-compose -f docker-compose-jupyter.yml up
Note: When you first run this command, it will take some time (few minutes to 15 minutes) depending on your internet connect
localhost:8888 (passcode is kse)
localhost:8765
Pandas, Seaborn, Plotly, Autoviz, Sweetviz
ipyleaflet, DuckDB, GeoPandas, Seaborn, Folium, shapely
Note - All the sample datasets are in the data folder
https://beta.source.coop/repositories/vida/google-microsoft-open-buildings/description/
https://www.kaggle.com/datasets?search=Ukraine
https://export.hotosm.org/v3/exports/new/describe https://www.openstreetmap.org/export#map=13/50.4585/29.8170