Refugees a deep analysis of refugee crisis data

Project description

This project aims to collect and analyze data on asylum and refugee requests in Spain and internationally. The data will be used to answer the following questions:

• How many people have applied for asylum in Spain over the years, and how many of those applications have been granted?
• What are the top 10 countries with the highest asylum application rates since 2010? What are the top 10 with the lowest?
• Depending on armed conflicts, for example, the Ukrainian-Russian conflict in 2022, has the number of applications from these two countries increased compared to previous years?
• Interactive maps of asylum requests in Spain over the years in each autonomous community.
• With spanish data, make comparisons with a gender perspective on asylum requests.

The project has developed a complete process for data collection, transformation, and analysis. The data processing is located in the Jupyter notebooks. These notebooks provide a detailed record of the steps taken transform and analyze the data.

Data sources

• Internal Displacement Monitoring Centre
• Spanish government open data sources
• Kaggle

Visualization

Visualization analysis has been develop in Tableau public. What you can find there:

Interactive map about incoming refugee requests

Interactive map about autonomous community requests

Important

Tableau public project here.

Project Structure

Refugees-A-deep-analysis-of-refugee-crisis-data
.
├── assets
│   ├── Map.png
│   └── MapCCAA.png
├── data
│   ├── process
│   │   ├── AsiloCA.csv
│   │   ├── AsiloEspaña.csv
│   │   ├── DeplazConflictos.csv
│   │   └── PeticionesInternacionales.csv
│   └── raw
│       ├── Asilo2012
│       ├── Asilo2013.xlsx
│       ├── Asilo2014.xlsx
│       ├── Asilo2015.xlsx
│       ├── Asilo2016
│       ├── Asilo2017
│       ├── Asilo2018
│       ├── Asilo2019
│       ├── Asilo2020
│       ├── Asilo2021
│       └── IDMC_Internal_Displacement_Conflict-Violence_Disasters.xlsx
├── notebooks
│   ├── 1.0-data-preprocessing.ipynb
│   ├── 1.0-jqp-initial-data-exploration.ipynb
│   ├── 2.0-data-preprocessing.ipynb
│   └── 3.0-data-preprocessing.ipynb
└── reports
    ├── 1.0-jqp-initial-data-exploration.html
    └── README.md

Note

This project has been develop following Cookiecutter Data Science structure.