Complexity is a very open and engaging field. I am quite hopeful that in the near future, scientists and social scientists of our nation would collaborate and reduce the gap between the “hard” and “soft” sciences, pushing push for more grounded and well thought out policies, taking advantage of what we know about Complexity.
Publishing on GitHub the R code I wrote to visualize an earthquake map, particularly focusing on the disaster event that hit the island province Bohol in 2013.
R Markdown documents written as requirements for some of the courses in Coursera’s Data Science Specialization programme.
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! 🙂
In this blog post, I explore the use of networks (minimum spanning trees), as presented by Bonanno et al. in 2003, to quantify relationships of assets listed in the Philippine Stock Exchange.
Metro Manila, Philippines. Generating and visualising a day’s worth of synthetic taxi data.
Sharing some Python recipes I wrote for mining, reading, manipulating, and plotting map data.