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Understand and Evaluate Datasets(phenology) for decision support by performing data cleaning, data management and document data manupulation and analysis processes for reproducible work. Using RStudio and R skills to develop descritive statitics and plotting, in turn providing presentable information for decision support for target audience.

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🌳🌲Old Woman Creek - Team Project License: MIT

ISQA8086 - Data to Decision - University of Nebraska at Omaha 🏫

Instructor


Table of Contents

  1. Audience Profile
  2. Data Cleaning Documentation

'In-Su-Ka' : Team Members

  1. Indra Teja Chintakayala
  2. Wancheng Sun
  3. Kalpana Jha

Datasets 📋

  • Avian Monitoring 🐦
  • Bald Eagle Monitoring

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Kalpana worked on Background research, Audience profile, data cleaning for Avian data and Final presentation. Indra worked on Bald Eagle Data cleaning, Analysis in R studio, GitHub repo management and final presentations. Sun worked on Data cleaning and data analysis for Avian data monitoring for indicator species, eBird plots, and final presentation.

Final Deliverables

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Understand and Evaluate Datasets(phenology) for decision support by performing data cleaning, data management and document data manupulation and analysis processes for reproducible work. Using RStudio and R skills to develop descritive statitics and plotting, in turn providing presentable information for decision support for target audience.

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