Data Stories
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Huge areas of PHL are still missing from OpenStreetMap, satellite data reveals
There are still a lot of uncharted territories in the Philippines, at least on OpenStreetMap, the world's Wikipedia of Maps. #MapTheGap
Huge areas of PHL are still missing from OpenStreetMap, satellite data reveals
There are still a lot of uncharted territories in the Philippines, at least on OpenStreetMap, the world's Wikipedia of Maps. #MapTheGap
Using AI for Automatic Logo Detection on Store Shelves
We rapidly developed a high-performance logo detection model and front-end mobile application that identified our client’s product on retail shelves.
Zero in on the Philippines’ most vulnerable communities – with the click of a mouse
Estimate wealth and poverty for any 18 square kilometer area within a fraction of the time and cost of running a household survey.
Let AI design your holiday cards!
Done making Christmas cards? Why not let an AI do it for you?
Marvel vs DC Films: A Visual Analysis
Spoiler alert: It’s a rather lopsided battle.
Around 30M Filipinos live over 2 hours away from a DOH HIV testing center
Does the Philippines have enough HIV testing facilities to curb one of the world's fastest growing HIV/AIDS epidemics? Explore our 3D interactive map.
How did the new one-way-scheme affect BGC’s traffic flow?
The results are mixed.
A whole new ball game: Quantifying changes in NBA basketball over the past 30 years
Using publicly available player statistics, we visualize how the game we love has changed over time.
Faster, easier geographic data cleaning with LinkSight
We built a web app to semi-automate cleaning up inconsistently spelled names of Philippine barangays, municipalities, cities and provinces. Try it out.
How exposed is your barangay to different natural hazards?
The Philippines is one of the most at-risk and vulnerable countries in the world. But the geographical distribution of risks and vulnerabilities within the archipelago is uneven.
How far from the airport can you get in two hours?
Want to know what time you should schedule your flight so your car ride home isn't longer than the actual flight? Click to find out!
When did everything ML get 'deep'? Using fasttext to examine semantic trends in 30 years of NIPS papers
We use word embeddings to look into the evolving landscape of research topics in NIPS, AI’s most prestigious conference, through the years.
How a Digital Logistics Company Used Data to Rethink Operations
A unified and cleaned data pipeline to empower meaningful analysis and optimized business decisions
Mind the gap: A gender parity analysis of UPCAT passers
What are the most female- and male-dominated degree courses in UP? Explore our interactive dashboard to find out.
Spread algorithmic Christmas cheer with our snowflake generator
What happened when we asked a physicist, a compute…ta scientist to make our company Christmas cards?
How We Simplified Time-Tracking with Slack, BigQuery, and a Power BI dashboard
Also known as: time-tracking for lazy people who hate forms.
Kailan ka ikakasal? Four data-driven comebacks to use at your next family reunion
Actually, Tita, the number of Filipinos getting married has declined 15% in the past 10 years. It's part of a nationwide trend.
Effective Targeted Campaigns with Machine Intelligence
Advanced market segmentation using Machine Learning to develop targeted campaigns to improve consumer behavior around payment operations
Harnessing the Potential of Claims Data To Detect Insurance Fraud
Developed a fraud detection model to help identify insurance claims outliers for further investigation.
MAPPED: Danger Zones in Metro Manila's Roads
Which roads and intersections are the most accident prone for motorcycles? Where are pedestrians most vulnerable to be injured? Which routes are dangerous for both?
This is what 24 hours of Metro Manila holiday traffic looks like
We're excited to be working with the MMDA to use real-time Waze data to analyze, diagnose, and address traffic congestion in Metro Manila.
Build your own maps with this open source D3 Philippine cartogram
Make your own Philippine cartogram with our free resource.
Makeover Your Charts with These 5 Design Hacks
Small tweaks can make a big difference when it comes to data design. Here are five case studies from our recent data storytelling workshop.
Dots are people too: Learnings from Information+
Our Data Designer, writes about what she learned from attending Information+, one of the few data visualization related conferences that targets both researchers and practitioners.
Off the map: An alternative way of visualizing the Philippine election results
Why did we use a cartogram instead of a normal map for visualizing the election results?
A second look at PNP crime statistics: Taking population into consideration
A look at the number of index crimes per 10,000 residents for 15 Philippine cities.
Voters or Robots? Evaluating the Twitter popularity of the presidential candidates
How many of the tweets about the Philippine presidential candidates were likely posted by Twitter bots?
Talks from our 'Humans + Machines' artificial intelligence conference
We're sharing the presentations delivered by the four speakers at our Feb. 19 artificial intelligence conference in BGC.
5 Ways You Already Rely On Artificial Intelligence
Sure, Siri is a long way from being Scarlett Johansson. But she’s a real-world example of how artificial intelligence has crept into daily life.
Building a Twitter Big Data Pipeline with Python, Cassandra & Redis
We use some of our favorite tech to build a data ingestion, storage, and analysis infrastructure.
When are you most in danger on the road?
How likely is it that if you get in an accident on your daily commute, it will result in someone getting hurt or killed?
We Are Thinking Machines
The Thinking Machines team and philosophy.