Building Financial Networks
I have been receiving requests to release the Python code I wrote to produce the financial network discussed in my previous post titled PSE Correlation-Based Network. Well, here it is! 🙂
Hypothetical Taxi Movements in MMla
Metro Manila, Philippines. Generating and visualising a day’s worth of synthetic taxi data.
Mining, reading, manipulating, and plotting map data
Sharing some Python recipes I wrote for mining, reading, manipulating, and plotting map data.
How well do you know your province?
Let’s play a game! Can you guess which Philippine provinces these road networks belong to? The first one is easy peasy!
Python Packages
I was tasked to come up with a list of all the Python packages we need for this new server we are setting up. Sharing the list below, hoping you’ll find them useful.
Network Growth of “The Silent Majority”
The membership expansion was so fast, we got curious about its network growth dynamics. We decided to “visualize” the mushrooming of the online society.
Philippine Elections Chatters
The plots below show the Mention Network of Twitter users (bots and humans) discussing the Philippine Elections. Building a network such as the ones here can help one to visualize (and even … Continue reading
