🚀 e42: fixing a bug in a data aggregation and chart

🎥 In today's live coding session, I dove deep into enhancing the tests for our data aggregation function, crucial for generating insightful charts. I'm thrilled to share that we've successfully boosted our test coverage by incorporating new tests! 🚀

But we hit a snag: the percentages from our data aggregation weren't adding up to 100. After a stimulating discussion about rounding errors in computing percentages from aggregated data, I rolled up my sleeves and implemented a nifty solution to normalize these percentages. 🧮

Then, I tackled the code for our resident activity level chart. By refactoring and extracting the chart generation into a standalone function, we not only made our code cleaner but also significantly improved its testability. This was a real game-changer in addressing some nested code complexities and testing hurdles. 📊

Sure, the journey wasn't without its bumps – we ran into a few indentation errors and minor bugs. But with some quick debugging, these were swiftly resolved. The payoff? Our normalized percentages now display flawlessly in the chart. 🛠️

This session was a triple win – enhanced test coverage, a fix for the pesky percentage summing issue, and a more modular, testable approach to our visualization code. 🏆

There's still work to be done, particularly in migrating some code out of the home model to streamline our files further. But I'm optimistic. Today's progress has laid a solid foundation for enhanced maintainability and bug prevention in the future. Onward and upward! 🚀

Stay tuned for more updates, and thanks for joining me on this coding adventure! Don't forget to like, share, and subscribe for more coding insights and solutions. 🔔 #LiveCoding #CodeRefactoring #DataVisualization #TechSolutions #CodingCommunity ... https://www.youtube.com/watch?v=9yl2jjc4_VM