These data analysis is showing how to fetch data from Pestgres Database, cleaning them and doing some descriptiv analysis on it.
As a result you will find a presentaion which shows recommonadtions for Houses to by for an exemplaric client.
- altair==5.0.1
- jupyterlab==4.0.1
- ipywidgets==8.0.6
- matplotlib==3.7.1
- pandas==2.0.2
- jupyterlab-dash==0.1.0a3
- seaborn==0.12.2
- python-dotenv==1.0.0
- psycopg2-binary==2.9.7
- SQLAlchemy==2.0.15
- missingno==0.5.2
- scikit-learn==1.2.2
- numpy==1.24.3
- plotly
In this script the data were fetched and saved as housing.csv
In this script the data were loaded, described, cleaned and analyzed for the exemplaric client.
Having the filtered results from the 'data_overview_cleaned.ipynb' script. A prenstation was created to show the results to potential steakholders. External resources like Apple Maps, Google Maps, https://gismaps.kingcounty.gov/iMap/ where used to design the slides.