Data Visualization Project

Welcome to my creative data storytelling project, where I explore consumer behavior, global trends, and death statistics — all visualized through maps, word clouds, and charts. This project combines real-world data with a focus on sustainability, fashion, and social patterns.

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Project Structure

File/Folder	Description
data/	Contains cleaned and raw datasets used across notebooks.
images/	Stores generated visualizations (word clouds, useful images etc.).
visualization_clothes_habits.ipynb	Analyzes consumer habits in sustainable fashion and second-hand clothing.
visualization_maps.ipynb	Displays map-based insights (e.g., fashion trends by country).
visualization_of_mortality.ipynb	Visual storytelling on causes of death globally.
visualization_wordClouds.ipynb	Creates engaging word clouds based on text data (e.g., reasons for purchases).

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Project Goals

• Segment and analyze consumers based on their sustainable fashion choices.
• Visualize global death causes for awareness and education.
• Map country-level trends to understand geographic differences in behavior.
• Present data in a fun, interactive, and clear way using Python.

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Datasets Used

Notebook	Datasets Used
visualization_clothes_habits.ipynb	shopping_trends.csv
visualization_maps.ipynb	Police_Department_Incidents_-2016.csv
visualization_of_mortality.ipynb	deaths.csv
visualization_wordClouds.ipynb	alice_novel.txt

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Key Highlights

• Mapping sustainable behavior: Who shops sustainably and where?
• Insightful clustering: Grouping users by purchase reasons, values, and behavior.
• Social awareness: Visual analysis of how people die globally (based on data).
• Fashion with a conscience: Understand the rise of second-hand fashion.