The stories behind the data. Each article walks through a project I built — what I was trying to figure out, how I did it, and what the numbers actually said.
I dug into the national income and spending survey to see where Filipino families actually put their money — and the gap between regions was hard to ignore.
Using World Food Programme data to trace how the cost of rice, fish, and vegetables shifted over two decades — and what global events did to local markets.
I scraped real estate data to understand property prices across Metro Manila and the provinces. Some of the price gaps were wild.
What does a year of weather data actually look like when you chart every city? I pulled OpenWeatherMap data and found some surprising patterns.
I went through three years of MMDA incident reports to find the worst hotspots, peak hours, and which vehicle types show up most in the data.
The Philippines gets hit by typhoons every year. I analyzed NDRRMC disaster data to see which regions take the hardest hits and how damage adds up.
Farm wages, household income, and poverty rates vary so much across the Philippines. I mapped all 16 regions to see the full picture.
Names carry culture. I analyzed the most common Filipino names and found patterns tied to religion, language, and even pop culture trends.
From the 1950s to 2019, how has public health in the Philippines actually changed? I went through WHO records to find out.
OFW remittances keep the economy running. I looked at PSA labor data to see where they go, what they earn, and how it all breaks down by region.
The Philippines rolled out K-12 in 2013. I tracked enrollment data across a decade to see what actually happened to student numbers and regional gaps.
Three years of DOH data, from the first wave to the vaccination rollout. I charted the pandemic's path and what the fatality numbers really showed.
The Philippines sits on the Ring of Fire. I used USGS and PHIVOLCS data to map where the shaking happens most and which volcanoes to watch.
Sector returns, foreign flows, and market cap breakdowns. I pulled a decade of PSE data to understand how the local market actually moves.
I went through COMELEC transparency data to see how the Philippines voted in 2022 — from presidential races to regional patterns.
P1.86 trillion in gross value, but growth is stalling. I looked at PSA crop and livestock data from 2010 to 2023 to understand what's happening.
I parsed GTFS data from Sakay.ph to map every bus, jeepney, and rail route in Metro Manila. The network is more complex than most people think.
P5.768 trillion in budget over 14 years. I tracked DBM data to see which sectors get the most, and how priorities have shifted over time.
Internet penetration hit 73% but the urban-rural gap is still huge. I pulled PSA and DICT data to map who's connected and who's still waiting.
42,000 text samples, six NLP datasets, and the challenge of Taglish code-switching. This was my deep dive into Filipino language processing.
DTI ranks cities on five pillars — from infrastructure to innovation. I analyzed the CMCI data to see what separates the top from the bottom.