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.
Sharing some Python recipes I wrote for mining, reading, manipulating, and plotting map data.
Let’s play a game! Can you guess which Philippine provinces these road networks belong to? The first one is easy peasy!
We take a peek at the data on the controversial Philippine VP race that prompted many Pinoy academics to download, visualise, and analyse the 2016 election results in the wake of the allegations of systematic cheating
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
The idea that Twitter users generate volumes of earthquake-related tweets at the onset of an earthquake is hardly new [link], but it’s always fun to work with data from home … Continue reading
How much of our country will we lose to political dynasties in 2016? After Election Day, will the country be able to reclaim territory from dynasties, or will the bleeding … Continue reading
An advanced city is not a place where the poor move about in cars, rather it’s where even the rich use public transportation. – Enrique Peñalosa Contrasting the development of … Continue reading
As always, feel free to verify the info provided here. Please do not hesitate to give me a shout-out in the comments section if and when you find significant errors … Continue reading