Mapping Tim Hortons Locations in Toronto

In today's video, we're diving into an exciting project: mapping Tim Hortons locations across Toronto neighbourhoods using Python. Whether you're a GIS professional or a map enthusiast, this tutorial will guide you through the steps to visualize real-world data effectively. You will learn how to import and handle geospatial data using Geopandas, download and use shapefiles from GitHub, and plot neighbourhoods boundaries with overlaid Tim Hortons locations using Matplotlib. We'll show you how to import the necessary libraries, download and load the shapefile components and CSV file, convert the CSV data into a GeoDataFrame, and plot the data. Don’t forget to Like, Share, and Subscribe for more daily doses of spatial analysis and GIS tutorials! Hit the bell icon to get notified about our latest videos. Let's explore and analyze our world together! #DailySpatialDose #GIS #SpatialAnalysis #Python #TimHortons #Toronto #Geopandas #Matplotlib #DataScience