Real Estate Analysis for Property Purchase in Georgia
We aim to use several datasets to help analyze factors that may affect the property value of homes in Georgia
Check out our GitHub page and Colab Notebook
Poster used for presentation at GGC STARS event
About The Project
For our Data Science and Analytics Capstone project, our team collaborated with our client, Dr. Anca Doloc-Mihu, to analyze real estate in Georgia. Using datasets on healthcare, labor, and crime statistics by county, we explored how these factors impact real estate value. We have analyzed healthcare availability, employment rates, and crime statistics to find potential correlations, offering insights into real estate pricing.
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Main Dataset: Kaggle Dataset
This dataset, which was obtained from Kaggle, contains the main statistics we hope to analyze, such as the price of the real estate listing, as well as location.
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Health Dataset: Healthcare Dataset
This dataset, which was obtained from Kaggle, contains the main statistics we hope to analyze, such as the price of the real estate listing, as well as location.
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Unemployment Dataset: Labor Dataset
While this dataset contained several valuable fields, we decided to explore how unemployment may affect real estate value per county.
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Crime Dataset: Crime Statistics Dataset
This dataset contains information relating to crime statistics, including type of crime reported and county.
Total Records
Records in Georgia
Total Datasets
Technologies
Key technologies used for data processing, visualization, and project management
GitHub
Used for project repository
Python
Language used for data cleaning and visualization
Google Colab
Used to collaborate on data cleaning and visualization
Jira
Used to track progress throughout each phase of the projectResults
Explore the results of our key hypotheses
Team
Nazmun Nahar
Project Leader Data Visualizer
Niko Melas
Data Modeler Project Documenter Webpage Builder