https://github.com/urbanclimatefr/housing_rental_data_analytics

Housing rental data analytics
https://github.com/urbanclimatefr/housing_rental_data_analytics

duckdb hadoop pandas privacy rental weka

Last synced: 15 days ago
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Housing rental data analytics

• Host: GitHub
• URL: https://github.com/urbanclimatefr/housing_rental_data_analytics
• Owner: urbanclimatefr
• Created: 2024-09-30T20:15:43.000Z (4 months ago)
• Default Branch: main
• Last Pushed: 2024-09-30T20:30:02.000Z (4 months ago)
• Last Synced: 2024-11-17T00:27:12.542Z (3 months ago)
• Topics: duckdb, hadoop, pandas, privacy, rental, weka
• Language: Jupyter Notebook
• Homepage:
• Size: 9.57 MB
• Stars: 1
• Watchers: 1
• Forks: 0
• Open Issues: 0
• Metadata Files:
  • Readme: README.md

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README

        
# housing_rental_data_analytics

The report is divided into 3 parts:

1. Rental “demand” investigation:

   Weka is used to pre-process the data and build linear regression model to perform this analysis.

2. Storing data and possible solutions

   - A relational database is built in third normal form.

   - Sample SQL statements are created to retrieve data.

   - For addressing the needs of a housing manager dealing with significant data volumes across international offices,

   - a distributed system architecture that utilizes Hadoop  ecosystem technologies is proposed as a comprehensive solution.

     

3. Considering web-based application

   Given the context of developing a public-facing application to promote a housing manager's business and the intention to capture personal details of potential clients, here are the three most salient privacy issues to consider, informed by the details provided in Task    1 and Task 2:

     - Data Security and Privacy Compliance

     - Consent and Transparency

     - Long-term Data Storage and Accessibility

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- The source code is in data folder

- Detailed report is in report.pdf