Yunus Emre Özkaya
People are living in a convoluted world. There are numerous things going on in peoples lives. As individuals, people are interacting with each other in their daily lives. Even though, the world is not just about their micro-scale world such as school,work,family, friends etc.There are an excess of situations going on in the world. At some point, people can not ignore what is going on all around the world. Plenty of things such as poverty, war, hunger, exertion etc. can effect people’s lives in a harmful way and they may need to “escape” from where they live. In these circumstances, other people who are not facing problems like this should care about the ones having trouble and welcome them. Many people are forcing to leave their countries and start a whole new life in another one. As a conclusion of this; their lives are changing, one culture meeting with another, socioeconomic circumstances are changing in both countries etc. Project goal is focusing on this migration situation around the world.
Data can be downloaded from the link above(clicking total origin at the right of the page).
There are 3 excel file of the dataset. These are dataset of migrant destionation, dataset of migrant origin and dataset of migrant age. In excel files, there are numerous sheets of tables. From the origin dataset, total migration numbers (Table 1) and female rate of migrants (Table 2) are imported. From the destination dataset, total migration numbers (Table 1) , migrants rate to population (Table 3), female rate of migrants (Table 4), refugee numbers and rates (Table 6) are imported. In the last dataset, only age statistics (Table 7) is imported. Through the information that provided by datasets, tables are reshaped by development groups and regions. Besides these classifications, world and Turkey subdatas are created due to make a comparison. With the help of ggplot and tables, numerous bar graphs and maps are generated.
There are various problems occured while the processes of mapping because of methodology of the dataset.
The designation of “more developed” and “less developed”, or “developed” and “developing”, is intended for statistical purposes and does not express a judgment about the stage in the development process reached by a particular country or area. More developed regions comprise all countries and areas of Europe and Northern America, plus Australia, New Zealand and Japan. Less developed regions comprise all countries and areas of Africa, Asia (excluding Japan), Latin America and the Caribbean, and Oceania excluding Australia and New Zealand. The group of least developed countries (LDCs) includes 47 countries, located in sub-Saharan Africa (32), Northern Africa and Western Asia (2), Central and Southern Asia (4), Eastern and South-Eastern Asia (4), Latin America and the Caribbean (1), and Oceania (4). The group of Landlocked Developing Countries (LLDCs) includes 32 countries or territories, located in sub-Saharan Africa (16), Northern Africa and Western Asia (2), Central and Southern Asia (8), Eastern and South-Eastern Asia (2), Latin America and the Caribbean (2), and Europe and Northern America (2). The group of Small Island Developing States (SIDS) includes 58 countries or territories, located in the Caribbean (29), the Pacific (20), and the Atlantic, Indian Ocean, Mediterranean and South China Sea (AIMS) (9). Further information is available at http://unohrlls.org/about-sids/. The classification of countries and areas by income level is based on gross national income (GNI) per capita as reported by the World Bank (June 2020). These income groups are not available for all countries and areas.
Further information is available here.
## 167 codes from your data successfully matched countries in the map ## 68 codes from your data failed to match with a country code in the map ## 76 codes from the map weren't represented in your data
## $title ##  "Immigrant population (in millions)" ## ## attr(,"class") ##  "labels"