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
Zhong Shangxuan developed a foundational data analysis workflow for the CYXNBNBNB/ad688-employability-sp25A1-group6 repository, focusing on job postings data. Using Python and R, Zhong implemented a reproducible pipeline that cleans data by dropping unnecessary columns, handling missing values, and removing duplicates. Leveraging Pandas, Matplotlib, and Plotly, Zhong produced baseline visualizations to explore industry, salary, and remote work trends, then extended the exploratory data analysis to compare salaries by remote status, location, industry, and AI-related job titles. The work emphasized data quality and reproducibility, laying the groundwork for deeper salary market insights and supporting data-driven hiring decisions.
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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