vamsivarma / kse_unitac

Code samples and Docker configuration for KSE data analysis module

Repository for 'Basics of Data Analysis and Visualization. Communicating Insights with Stakeholders' during KSE course supported by UNITAC and partners

How to set up this repo -

Prerequisites: You need to have Docker and Docker-compose installed on your machine

Settingup JupyterLab Docker

For instantiating JupyterLab instance run the following commands

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

To access JupyterLab instance on your browser go to following URL

localhost:8888 (passcode is kse)

Settingup Solara Dashboard Docker

To access Solara dashboard on your browser go the following URL

localhost:8765

List of libraries configured with JupyterLab:

Data Analysis:

Pandas, Seaborn, Plotly, Autoviz, Sweetviz

GeoSpatial Data Analysis:

ipyleaflet, DuckDB, GeoPandas, Seaborn, Folium, shapely

Datasets can be downloaded from:

Note - All the sample datasets are in the data folder

Openbuildings dataset for Ukraine can be downloaded from DuckDB or manually from below URL

https://beta.source.coop/repositories/vida/google-microsoft-open-buildings/description/

Datasets from Kaggle

https://www.kaggle.com/datasets?search=Ukraine

Download Open Street Map data

https://export.hotosm.org/v3/exports/new/describe https://www.openstreetmap.org/export#map=13/50.4585/29.8170