This past week many of us have spent a little too much time staring at maps. An electoral map shows division by default. I want to show you a map that shows quite the opposite.
On my previous post, I concluded that positivity and optimism was a major commonality in the sprint's community. Knowing that so many people from all over the world are collaborating and sharing ideas, made me want to know a little more about the cohort.
I have to admit that I'm a sucker for maps. They give me a feeling of endless possibilities. I also love traveling, but that's something that I haven't been able to do this year. Strangely enough, working on this map gave me a feeling of discovery. I've spent a bit too long playing around with it. I'm picturing each one of us, peeking out the window and looking at something completely different. My imagination flies! But enough said, here it is. I hope you enjoy it as much as I do.
Click here for a fullscreen experience
Nerd talk ahead:
I took the location data from the Sprint Directory and formatted so that each entry would look like this:
Austin, TX / London, UK / Sydney, Australia
I ran these locations through the Google Maps API to get precise coordinates. This process involved:
Converting location strings into latitude/longitude pairs Handling edge cases for international addresses Ensuring data privacy by anonymizing personal information
Finally, the anonymized data was plotted on the map using a Python library called folium. This powerful library allows for:
Interactive map creation with zoom and pan functionality Custom markers and clustering for dense areas Responsive design that works across devices Easy integration with web applications
import folium
import pandas as pd
from geopy.geocoders import GoogleV3
# Initialize the map
world_map = folium.Map(location=[20, 0], zoom_start=2)
# Process locations and add markers
for location in sprint_locations:
# Geocode location
coords = geocoder.geocode(location)
if coords:
folium.CircleMarker(
location=[coords.latitude, coords.longitude],
radius=5,
popup=f"Sprint Member Location",
color='#3388ff',
fillColor='#3388ff'
).add_to(world_map)
# Save the map
world_map.save('sprint_map.html')
This project taught me that data visualization can be a powerful tool for community building. By showing the global reach of our cohort, it created a sense of connection and shared purpose among participants.
Privacy Considerations: Balancing transparency with privacy required careful anonymization API Rate Limits: Google Maps API has usage limits that required batch processing Cross-browser Compatibility: Ensuring the interactive map worked across different browsers and devices
Seeing our community mapped out geographically revealed patterns I hadn't expected:
It's been a challenging year but being part of Prof G's sprint has been one of the most pleasant surprises of 2020. I know you're all busy working on our final projects, it's a lot of work! But I hope this map gives you a nice feeling of closeness as it did to me. We're all in this together!
This visualization project reinforced my belief that technology should bring people together, not divide them. In a world where digital maps often show us differences and boundaries, it was refreshing to create something that highlighted our shared humanity and common goals.
Data Processing: Python, Pandas, GeoPy Mapping: Folium, OpenStreetMap Geocoding: Google Maps API Web Integration: HTML5, responsive design Hosting: Static web hosting for interactive maps
If I were to rebuild this project today, I would consider:
Want to create your own community map? I've helped several organizations visualize their global reach and build stronger connections through geographic data visualization. Whether it's for a startup, nonprofit, or educational program, mapping your community can reveal insights and foster deeper connections.
-mohammed 🗺️
PS: I want to thank my colleague Javier Vazquez for helping me plot the data on the map. He's an awesome data scientist and his expertise in geospatial analysis made this project possible!