An interactive data analysis & visualizations dashboard using python libraries including streamlit, pandas, matplotlib, plotly, pydeck, etc. for the Baker Hughes Gas Turbine dataset. The dashboard is deployed on Streamlit and can be accessed here
We have multiple engine data and site data Each site has multiple engines
Two lookup files
- engine_metadata
- site_metadata
In data directory at end of each day a csv is added that has logs of the engine data for all each plant This data undegoes the following analysis
- Filling null values
- Renaming column ID
- Dropping redundant columns
- Calculating Thermal effiency
- Creates a new dataframe with new columns
Google Cloud Platform metadata Region - US Zone - us-central
