Project Description

This Python project is building an interactive map to visualize immigration to Canada from different countries using data from the UN data sources. It uses Folium for mapping, GeoJSON for country shapes, Choropleth for visualization, and Pandas for data manipulation.

Objectives

The purpose is to draw a geo-spatial map showing the immigration trends Canada.

Output

AS a final product, you get an interactive world map showing immigration to Canada from 1980–2013. Countries with more immigrants are coloured darker (e.g., India, China, Philippines). You can zoom, pan, and hover over countries to explore the data.

Python Learning

This script creates a visual, interactive world map to explore historical immigration trends to Canada. It combines:

Folium for mapping

Pandas for data manipulation

GeoJSON for country shapes

Choropleth for visualizing totals