Skip to content

To explore, summarize, and analyze amphibian species data using SAS—with a focus on identifying patterns and predicting species presence based on environmental variables.

Notifications You must be signed in to change notification settings

Leyan0109/SAS_Amphibian-Species-Analysis

Folders and files

NameName
Last commit message
Last commit date

Latest commit

 

History

5 Commits
 
 
 
 
 
 

Repository files navigation

🐸 Amphibian Species Analysis Using SAS

Coursework Project — Data Analysis & Reporting

📌 Project Overview

This coursework project consists of two parts:

  • Part 1: Data Analysis Using SAS
  • Part 2: A short written report interpreting the findings

The analysis uses amphibian observation data collected from 189 sites surrounding two planned motorways in Poland. The dataset includes the presence or absence of several amphibian species such as:

  • Green frogs
  • Brown frogs
  • Common toad
  • Fire-bellied toad
  • Tree frog
  • Common newt
  • Great crested newt

The data file (amphibians.xlsx), originally published on the UCI Machine Learning Repository.

🎯 Objective

To explore, summarize, and analyze amphibian species data using SAS—with a focus on identifying patterns and predicting species presence based on environmental variables.

📂 Folder Structure

amphibian-analysis-sas/
1. data/                # amphibians.xlsx file 
2. report/              # Word document combining SAS code (Part 1) and written analysis (Part 2)
3. README.md            # Project summary (this file)

🛠 Tools Used

  • SAS Studio / SAS Enterprise Guide
  • SAS Procedures: PROC IMPORT, PROC FREQ, PROC MEANS, PROC CORR, PROC LOGISTIC, PROC SGPLOT

About

To explore, summarize, and analyze amphibian species data using SAS—with a focus on identifying patterns and predicting species presence based on environmental variables.

Topics

Resources

Stars

Watchers

Forks

Releases

No releases published

Packages

No packages published