Ten people converged at Gramener’s Bangalore office to scrape, analyse and visualise football world cup data.
The objectives were two-fold: to create something useful (no matter how small) in any shape or form; and to learn from the process.
We began at 12:00noon…
… did a quick checkpoint at 4:15pm to see where we were…
(Photos courtesy Rasagy Sharma).
Updates were provided on the #fwchack (Football World Cup Hackathon) hashtag. Here’s a summary of what we’ve managed to come up with:
The list is incomplete. We’ll hopefully be adding in a few more items shortly – including a live Twitter analyser and a visualisation of the fouls data.
This hackathon was just to get the momentum rolling. Now that at least some of the data and design ideas are out, hopefully we’ll see many more data visualisations in this space.
The emergence of Generative AI (GenAI) is reshaping healthcare use cases and facilitating the rapid… Read More
The U.S. Food and Drug Administration's (FDA) stance on GenAI is clear: it's a groundbreaking… Read More
Executive Summary In healthcare, protecting patient information is not just a legal requirement; it's a… Read More
Demand forecasting in the supply chain is crucial for optimizing inventory levels and ensuring efficient… Read More
Hi, I am ChatGPT 3.5 Turbo. Do you know what my favorite number is? Do… Read More
After a successful webinar on digital transformation and sustainability, we organized a sequel titled “Data-Driven… Read More
This website uses cookies.
Leave a Comment