magô stories
Predicting the Philippines' C02 Emissions in 2020
By
John Gabriel Daos,
David Daza,
Jake Linganay,
Josh Javier,
Kayecee Palisoc,
and
JM Dumdum
In partnership with Eskwelabs and The Climate Reality Project, Eskwelabs' Data Science alumni try to predict the PH's C02 emissions in 2020 and analyze if COVID-19 has played a major role in it.
Reading Time: 10 mins.
December 29, 2020
Tags:
Data Analysis, Predictive Analytics, Social Good
The State of Transport Infrastructure in the Philippines
By
John Gabriel Daos
This analysis took 2nd place on the Data for Good Hackathon, hosted by the United Nations Sustainable Development Solutions Network (SDSN) and Eskwelabs, where the team focused on comparing the Philippines' transportation infrastructure and safety with that of other SEA countries.
Reading Time: 5 mins.
September 06, 2020
Tags:
Data Analysis, Descriptive Analytics, Hackathon
Agent Based Modeling Methodology for the COVID Interventions Analysis - Part 1
By
Johnny Ong
The complete methodology of how we accomplished the simulations using various tools for the first part of this project.
Reading Time: 6 mins.
May 19, 2020
Tags:
Agent Based Modeling
Comparing COVID-19 Interventions Through Agent Based Modeling
By
Johnny Ong,
Angelie Maglasang,
and
John Gabriel Daos
Interventions in the Philippines like Mass Testing, Lockdown, and Social Distancing are observed through simulations.
Reading Time: 6 mins.
May 19, 2020
Tags:
Agent Based Modeling, Data Visualization
Step-by-Step Tutorial to Access Google API Services using Python
By
Johnny Ong
A quick introduction to using Google Maps' API for geographical analysis
Reading Time: 6 mins.
March 21, 2020
Tags:
Webscraping, Mapping
Creating a COVID-19 PH Tracker by Aggregating News Articles
By
John Gabriel Daos
How we created a COVID-19 Tracker Using News Articles by using webscraping and NLP
Reading Time: 5 mins.
March 18, 2020
Tags:
Webscraping, NLP, Mapping
