CYXNBNBNB/ad688-employability-sp25A1-group6
Mar 2025 – Mar 2025
1 Month active
Languages Used
PythonR
Technical Skills
Data AnalysisData CleaningData VisualizationExploratory Data AnalysisMatplotlibPandas
zhongshangxuan
PROFILE
Zhongshangxuan
Developed a foundational data analysis workflow for the CYXNBNBNB/ad688-employability-sp25A1-group6 repository, focusing on job postings data. Built an initial data pipeline in Python and R, emphasizing data cleaning by removing unnecessary columns, handling missing values, and eliminating duplicates to ensure data quality. Leveraged Pandas, Matplotlib, and Plotly to create baseline visualizations that explored industry, salary, and remote work trends. Enhanced exploratory data analysis enabled comparison of salaries by remote status, location, industry, and AI-related job titles, supporting deeper market insights. Prioritized reproducibility and feature stabilization, preparing analyses for production rendering and broader stakeholder review without reported bugs.
Overall Statistics
Feature vs Bugs
100%Features
Repository Contributions
2Total
Bugs
0
Commits
2
Features
1
Lines of code
178
Activity Months1
Your Network
2 peopleShared Repositories
2
Work History
March 2025
2 Commits • 1 Features
Mar 1, 2025March 2025 performance summary for CYXNBNBNB/ad688-employability-sp25A1-group6: Implemented foundational data analysis workflow for job postings, delivering a cleaned data pipeline and initial visual analytics; prepared for deeper salary market insights with enhanced EDA. Attention to data quality and reproducibility supports data-driven hiring decisions and salary benchmarking.
2 Commits • 1 Features
Mar 1, 2025March 2025 performance summary for CYXNBNBNB/ad688-employability-sp25A1-group6: Implemented foundational data analysis workflow for job postings, delivering a cleaned data pipeline and initial visual analytics; prepared for deeper salary market insights with enhanced EDA. Attention to data quality and reproducibility supports data-driven hiring decisions and salary benchmarking.
March 2025
Activity
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Quality Metrics
Correctness85.0%
Maintainability80.0%
Architecture70.0%
Performance70.0%
AI Usage20.0%
Skills & Technologies
Programming Languages
PythonR
Technical Skills
Data AnalysisData CleaningData VisualizationExploratory Data AnalysisMatplotlibPandasPlotly
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