Generating-Maps-with-Folium-using-Python

After completing this lab you will be able to:

• Visualize geospatial data with Folium.

Table of Contents

1. Exploring Datasets with pandas
   
2. Downloading and Prepping Data
   
3. Introduction to Folium
   
4. Map with Markers
   
5. Choropleth Maps
   

Exploring Datasets with pandas and Matplotlib

Toolkits: This lab heavily relies on pandas and Numpy for data wrangling, analysis, and visualization. The primary plotting library we will explore in this lab is Folium.

Datasets:

1. San Francisco Police Department Incidents for the year 2016 - Police Department Incidents from San Francisco public data portal. Incidents derived from San Francisco Police Department (SFPD) Crime Incident Reporting system. Updated daily, showing data for the entire year of 2016. Address and location has been anonymized by moving to mid-block or to an intersection.

2. Immigration to Canada from 1980 to 2013 - International migration flows to and from selected countries - The 2015 revision from United Nation's website. The dataset contains annual data on the flows of international migrants as recorded by the countries of destination. The data presents both inflows and outflows according to the place of birth, citizenship or place of previous / next residence both for foreigners and nationals. For this lesson, we will focus on the Canadian Immigration data