# Addressing the Mystery of Population Decline of the Rose-Crested Blue Pipit in a Nature Preserve using Data Visualization

## TL;DR

This paper investigates the population decline of the Rose-Crested Blue Pipit in a nature preserve using data visualization techniques to identify patterns and suggest solutions, emphasizing human-driven analysis over machine learning.

## Contribution

It demonstrates how data visualization alone can uncover causes of ecological decline and propose preventive measures, serving as an educational resource for visualization tools.

## Key findings

- Identified key factors contributing to population decline
- Categorized different causes using visualization techniques
- Suggested actionable solutions for conservation

## Abstract

Two main methods for exploring patterns in data are data visualization and machine learning. The former relies on humans for investigating the patterns while the latter relies on machine learning algorithms. This paper tries to find the patterns using only data visualization. It addresses the mystery of population decline of a bird, named Rose-Crested Blue Pipit, in a hypothetical nature preserve. Different visualization techniques are used and the reasons of the problem are found and categorized. Finally, the solutions for preventing the future similar problems are suggested. This paper can be useful for getting introduced to some data visualization tools and techniques.