Quant-of-Renmin-University/Quant_RUC
Oct 2025 – Oct 2025
1 Month active
Languages Used
JavaScriptPythonText
Technical Skills
Data AnalysisData CleaningData ScrapingData VisualizationFile ManagementJupyter Notebooks
liyizhou-906
PROFILE
Liyizhou-906
Worked on the Quant_RUC repository to deliver an end-to-end real estate data analysis pipeline focused on Guangzhou, utilizing Python, Pandas, and Selenium for web scraping, data cleaning, rent ratio calculation, and visualization. Developed infrastructure to audit student homework by organizing submissions within a dedicated directory, improving project structure and reproducibility. Addressed repository hygiene by removing an incorrect auditing notebook to prevent confusion among contributors. The work demonstrated a methodical approach to data analysis and file management, integrating Jupyter Notebooks for reproducible research and ensuring clarity in collaborative workflows through careful organization and targeted bug fixes within the project.
Overall Statistics
Feature vs Bugs
67%Features
Repository Contributions
4Total
Bugs
1
Commits
4
Features
2
Lines of code
1,136
Activity Months1
Your Network
85 peopleWork History
October 2025
4 Commits • 2 Features
Oct 1, 2025October 2025 highlights: Delivered an end-to-end Guangzhou real estate data analysis pipeline (Selenium scraping for housing and rent data, data cleaning, rent ratio calculation, and visualization); established auditing infrastructure for student homework with a dedicated directory; cleaned up repository by removing an incorrect auditing notebook to prevent confusion, improving hygiene and reproducibility across the project.
4 Commits • 2 Features
Oct 1, 2025October 2025 highlights: Delivered an end-to-end Guangzhou real estate data analysis pipeline (Selenium scraping for housing and rent data, data cleaning, rent ratio calculation, and visualization); established auditing infrastructure for student homework with a dedicated directory; cleaned up repository by removing an incorrect auditing notebook to prevent confusion, improving hygiene and reproducibility across the project.
October 2025
Activity
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Quality Metrics
Correctness65.0%
Maintainability60.0%
Architecture60.0%
Performance60.0%
AI Usage20.0%
Skills & Technologies
Programming Languages
JavaScriptPythonText
Technical Skills
Data AnalysisData CleaningData ScrapingData VisualizationFile ManagementJupyter NotebooksPandasReal Estate AnalysisSeleniumWeb Scraping
Repositories Contributed To
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