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14h 43m 40s logged

🚨 I USED THE WRONG DATA ALL ALONG…

So Storytime!!!!

When I almost like coded 3 out of 5 graphs, only then did I realise that I had the MAIN ingredient wrong: the data.

To be exact, when I first downloaded the datasets, they seemed to have everything I needed:

  • 🌡️ Temperatures from the 1940s to 2025
  • 📅 Year-wise timeline
  • 🌍 Data for cities and countries
  • ❓Temperature anomaly (wait… what is this?)

At first, I honestly thought Temperature Anomaly  was just a fancy way of saying temperature change. Turns out I need to work a bit harder on both my SAT English and this project. 😅 Because when I looked into the csv in detail the Temperature anomaly was like in range of   -0.000342 to 4.66247 and this was for like every single country each varing differently.

After a bit of Googling and reading, I discovered that ** temperature anomaly is not the actual temperature**. Instead, it measures how much warmer or cooler a place is compared to its average temperature during a reference period.

That meant I had a huge problem.

My country data  was already stored as temperature anomalies, but my city data contained actual temperatures. I was unknowingly comparing two completely different measurements in the same project.

If I had continued like that, my comparisons would have been misleading, my rankings would have been unfair, and my prediction model would have been built on inconsistent data.

So… I stopped everything.

I went back, learned how temperature anomalies are calculated, converted all of my city datasets to use the same measurement, and rebuilt the affected parts of the project. It definitely wasn’t the plan, but I’m glad I caught the mistake before shipping the project.

End of story…….

Besides this I improved my horrible looking homepage (the simple screenshot) and now it definitely looks like something to look at (the attractive homepage) this also had me going through streamlit’s documentation and continuous learning……
which I am getting fed up of but again that is what coding means right?😅

Lastly I did also complete my 4 out of 5 graphs which is definitely a relief (pheww) and now all that’s left todo is 

  • Graph 5
  • Improved UI of all the graph pages
  • About page

Girls and Guys I  would love to have your feedback for my project

(PLZ PLZ PLZ suggest improvements 😭😭😭😭)

Byeeee!!!!!
See you in Devlog # 4 ✨

END of devlog # 3

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