We built a web app to semi-automate cleaning up inconsistently spelled names of Philippine barangays, municipalities, cities and provinces. Try it out.
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.
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!
We use word embeddings to look into the evolving landscape of research topics in NIPS, AI’s most prestigious conference, through the years.
What are the most female- and male-dominated degree courses in UP? Explore our interactive dashboard to find out.
What happened when we asked a physicist, a compute…ta scientist to make our company Christmas cards?
Also known as: time-tracking for lazy people who hate forms.
Actually, Tita, the number of Filipinos getting married has declined 15% in the past 10 years. It's part of a nationwide trend.
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?
We uncovered potential chokepoints on EDSA Southbound using Waze data to show you exactly where you shouldn’t be during weekdays.
Minutes are the default method of documenting and summarizing meetings. But they’re also about as interesting to read as your social media's terms and conditions.
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.
"Follow the money" from budgeting, to procurement, execution, and auditing by using the OnTrack matching framework to unify data siloes.
To cope with being one of the most disaster-prone countries on earth, we need to get used to viewing disasters as part of a pattern over time.
Make your own Philippine cartogram with our free resource
Small tweaks can make a big difference when it comes to data design. Here are five case studies from our recent data storytelling workshop.
What would it look like if you were to put all Philippine languages into one family tree?
With almost 200 unique languages, the Philippines is one of the most linguistically rich places on earth.
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.
Why did we use a cartogram instead of a normal map for visualizing the election results?
We found places in the Philippines where the number of voters changed in surprising and dramatic ways between 2007 and 2013.
A look at the number of index crimes per 10,000 residents for 15 Philippine cities.
How many of the tweets about the Philippine presidential candidates were likely posted by Twitter bots?
We're sharing the presentations delivered by the four speakers at our Feb. 19 artificial intelligence conference in BGC.
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.
Which emojis do Filipino Twitter users use most often when talking about the top presidential candidates?
We use some of our favorite tech to build a data ingestion, storage, and analysis infrastructure.
What types of vehicles have hit or killed the most pedestrians in Metro Manila over the past ten years?
Part of our continuing series on road safety. Which roads and cities reported the highest number of persons injured or killed in traffic incidents in 2014?
Our data science lead Stef Sy shows you how to generate colorful line, bar, scatter plots and more using just a few lines of code from the Matplotlib library
How likely is it that if you get in an accident on your daily commute, it will result in someone getting hurt or killed?
The Thinking Machines team and philosophy.
2018 Thinking Machines Data Science Inc.
Bonifacio Global City, Taguig, PH