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data-manipulation-with-pandas

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Pandalyzer is a code-analysis tool for analyzing scripts written in Python using the Pandas data-manipulation library. The tool is still under development and supports only a subset of Python constructs and Pandas operations. It uses Abstract Interperation framework defined in my bachelor thesis: https://github.com/Hrubian/bachelor-thesis

  • Updated May 8, 2024
  • Kotlin

This is an end-to-end Data Analysis project using python and it's libraries pandas, numpy, matplotlib, seaborn. I have performed full data analysis steps on largest retail e-commerce orders dataset of Pakistan from problem statement to presenting report. It contains half a million transaction records from March 2016 to August 2018.

  • Updated Jan 5, 2024
  • Jupyter Notebook

This project examines the crucial metrics around first serves, analyzing the differences between match winners and losers using an exploratory data analysis approach. I uncover patterns in serve percentages and effectiveness, providing insights into the pivotal role the first serve plays in determining match outcomes.

  • Updated Jan 9, 2024
  • Jupyter Notebook

Every year, school test results impact the college admissions fate of millions of students. This project uses standardized test performance data from NYC's public schools to: Identify schools with top math results. Analyze performance variations by borough. Discover the city's top ten performing schools.

  • Updated Jul 17, 2024
  • Jupyter Notebook

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