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datatransformation

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The data set contains data about city fuel cycle consumption of vehicles. This report demonstartes data cleaning and preparation techniques using SAS to prepare it for statistical analysis. It uses arrays, concatenation, data type converison, outlier removal and standardization. The dataset is downloaded from https://archive.ics.uci.edu/ml/datas…

  • Updated Mar 31, 2022
  • SAS

This repository contains a hands-on collection of Jupyter Notebooks designed to help you master **Pandas**, the powerful Python library for data manipulation and analysis. Each notebook focuses on a specific concept with real data files to practice on.

  • Updated Jun 27, 2025
  • Jupyter Notebook

Full production-grade, Python-based ETL workflow built for Sutter Health’s ABSMC campuses. Automates bidirectional data migration across MS Access, SQL Server, Excel, and Revit BIM using mainly pyodbc, SQLAlchemy, Pandas, Prefect, BIMLink, and pyRevit. Enables seamless facility operations, real-time BIM sync, and audit-ready reporting.

  • Updated May 20, 2026
  • Python

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