Asylum seekers: During interantional migration crisis

Overview

The repo is my capstone project for CODE:You. The project analyzes the asylum seekers, refugees and refugee like situation population to define, total numbers, countries of origin, countries of asylum and more. The goal of the project is to demonstrate a general knowledge of Python, Plotly.

Analysis timeframe: 1962-2024

Data

Asylum flow data:

• Flow data

Population data:

• Population data

Countries flags data:

• Countries flags data

images:

• UNHCR logo https://freebiesupply.com/logos/unhcr-logo/
• World bank logo https://en.m.wikipedia.org/wiki/File:The_World_Bank_logo.svg

Project Structure

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The project is organized as follows:

• Data Cleaning: Jupyter notebooks with two funcitons that output the clean datasets to .csv files.

• Data manipulation and graphs: All the logic code is separated in a python file call functions_and_backend.py, in the future will be separate into a function class and a graph class.

• Analysis: All the analysis in located in a Jupyter notebook call Big Picture.ipynb

• Visualizations : I used Plotly to visualize my findings and Dash to make the graphs interactive.

• Dashboard: There are dashboards inveded in the jupyter notebook for better vizualization.

Features Utilized for the project

Feature	Description
Read TWO data files	Used one csv file and one xlsx
Clean your data and perform a pandas merge with your two data sets, then calculate some new values based on the new data set.	Cleaned my data and merged them with pandas. The calculated stats from various data points
Make 3 matplotlib, and Plotly	Made various plots with Plotly to show off my findings.
Make a Tableau dashboard	Made a dasboard with Dash inside the jupyter notebook
Utilize a virtual environment	Made a venv for this project to keep my eviroment organized.
Notate your code with markdown cells in Jupyter Notebook	Functions are described with comments and graphs are presented with markdown.

Dependencies

• Pandas
• Plotly
• Dash

Getting Started

To run this project, follow these steps:

1. Clone the repository: git clone https://github.com/EuVV22/AsylumAnalysis
2. Navigate to the project folder: cd AsylumAnalysis
3. Create and activate a virtual environment: (see instructions in the next step)
4. Install the necessary dependencies: pip install -r requirements.txt
5. Run the jupyter notebook: Cleaning.ipynb
6. Run and explore the Jupyter notebook: Big Picture.ipynb

Virtual Environment Instructions

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1. After you have cloned the repo to your machine, navigate to the project folder in GitBash/Terminal.
2. Create a virtual environment in the project folder.
3. Activate the virtual environment.
4. Install the required packages.
5. When you are done working on your repo, deactivate the virtual environment.

Virtual Environment Commands

Command	Linux/Mac	GitBash
Create	python3 -m venv venv	python -m venv venv
Activate	source venv/bin/activate	source venv/Scripts/activate
Install	pip install -r requirements.txt	pip install -r requirements.txt
Deactivate	deactivate	deactivate