Showcase plots

Project Description

Showcase selected plots for drawing initial conclusions on toy dataset `mtcars`.

Content of the project

• 1. explore_data directory: implement class for reading data and plotting
• 2. app.py
• 3. requirements.txt

For running the analysis in designated environment

• clone repo locally
• create an environment with the contents of the requirements.txt file; if you are using conda: install pip first (e.g. via conda install pip and then pip install -r requirements.txt)
• run streamlit run app.py for seeing an example dashboard for the analysis.

For running the app in a docker container

• clone repo locally
• build image with docker build -t streamlitchurnapp:latest -f docker/Dockerfile .
• run image with docker run --rm -p 8501:8501 --name test_streamlit_app streamlitchurnapp:latest
• in your web browser: map your localhost to port 8501 in container

For running on your browser/yur phone

• hit this url https://firstry.streamlit.app

Next steps

• plots for categorical data
• run statistical tests to complement first conclusions based on plots
• make all plots plotly

Author

Carlos Pumar-Frohberg

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🤝 Support

Comments, questions and/or feedback are welcome!