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!
The 2016 VP Race
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
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.
Assessing the Feasibility of Relief Operations
Given the level of risk that we, as a country, are exposed to (e.g. from earthquakes and typhoons), it is easy to see that there is a compelling need for our government to set up effective disaster preparedness and relief response plans, especially considering the fact that we can never be immune to natural disasters.
Twitter Users as Seismographs
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
Evolution & Prevalence of Politcal Dynasties in the Philippines
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
