In this project we could create a visual representation of a large database, starting by analyzing the project and answering tree main questions:

• What? to show data abstraction.
• Why? to show task abstraction
• Hows? how the idiom visual encoding and interaction.

Then we preprocess the data by transforming it to a specific format (json, graph), and finally implementing the visual encoding idiom and interaction idiom.

The dataset entitled Trends in International Migrant Stock: The 2017 Revision provides estimates of the international migrant stock by age, sex and origin for the mid-point (1 July) of each year: 1990, 1995, 2000, 2005, 2010, 2015 and 2017.

JavaScript, D3 version 5, HTML, CSS, python.