DATA DIVE DAYS

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The best way to know whether you enjoy working with data — or to learn how to work with data — is to handle many different forms of messy, real-world datasets, i.e. perform the necessary data cleaning and transformations to derive meaningful insights from them. This post shares two sample Jupyter notebooks that demonstrate various data transformation steps to achieve clean data for two different data formats: - JSON output obtained from calling the Developer API of the SingSt

If you're someone who ever has to communicate with data and not sure where to start, you might like to check out this book. I am someone...

Hello friends, I'm back to share with you another Singapore-centric dataset I've curated. If you're looking for geodata to work with or...

Data Double Confirm is proud to be a media partner for TreasuryTech: Secure Payments Conclave 2025 . Conclave TechMedia Group Announces...

There's no easy way getting/ scraping data off the CNA website on candidates for the General Election 2025, so I had to manually copy...

data.gov.sg has openAPI and for each dataset, it provides a sample Python code to query for the dataset. The output is a JSON and here's...

The previous post on Extracting data from tables in PDF was many years old and requires an update as it didn't cover a Python package...

Traffic Updates, Road Closures & Road Works in Singapore are published on LTA OneMotoring website. To understand the traffic conditions...

If you're looking for the latitude and longitude of places in Singapore, you can make use of OneMap API. It is free for public use. Below...

Dear readers of Data Double Confirm, I hope the content on this blog has been useful so far. I'm equally glad if you happened to chance...

This blogpost shows how Retrieval Augmented Generation can be done easily using Dataiku (without any code!). We want to ask some...