So this morning I was digging through all those messy test results again, trying to find something useful. Boss says, “Hey, where are the absolute worst scores hiding?” And like, the golden examples too. Right. Sounds easy till you stare at that pile of numbers.
Started Simple, Crashed Hard
First thing I did? Opened up that massive spreadsheet full of last month’s QA data. Headache city. Scrolled forever, tried sorting column ‘H’ which supposedly had the grand totals. Ended up with mostly 78s and 82s at the top? Nah, that couldn’t be the lowest.
Fumbled with the filter menu, clicked “Sort smallest to largest” again. Same dumb thing. Realized the header row got messed up somewhere – stupid merged cells! My dumb fingers probably clicked ‘sort’ while including the header labels. Total amateur hour. Spent like half an hour just un-merging cells and cursing under my breath.
Dug Deeper, Got Lost
Said screw it, switched tools. Pulled up the raw text logs – gotta be here somewhere, right? Used CTRL+F like a caveman, typed “Total:” then bam, 500 matches. Useless.
Tried searching for “Min” next. Found a bunch of configuration settings, not the actual low scores. Felt like chasing my tail. Remembered the boss mentioning specific module names, so I tried grepping for “Module_A” AND “Total” in the logs. Output looked like hieroglyphics – timestamps, debug junk, everything tangled together.
Okay, break time. Coffee machine, deep breaths.
The Pandas Save (Sort Of)
Slapped my head – Python! Wrote a quick script:
- Read that cursed CSV file properly using pandas.
- Made damn sure it ignored headers correctly.
- Grabbed the “Final_Score” column.
- Did a simple min() – boom! 52.3. Felt smart for half a second.
- Then needed the actual row with that crappy score… struggled for ten minutes remembering idxmin(). Finally got it!
But finding the good ones? For “best examples,” I wanted like, the consistent high achievers. Noodled around:
- Tried finding all rows where score > 95. Got three.
- But then realized – gotta check they passed all sub-tests too? Ugh. Added more conditions, flubbed the syntax twice (‘and’ vs ‘&’, pandas hates me).
- Finally got it: df[(df[‘Final_Score’] > 95) & (df[‘Module_A_Pass’] == ‘Yes’)]. Magic pandas!
The Final Tally & Reality Check
So yeah, found the worst score hiding near row 450 (thanks, pandas!). The golden examples? Those three shiny rows where everything just clicked. Printed snippets for the report.
But honestly? Tools barely helped my brain fog. Sorting messed up, logs were chaos, pandas made me sweat. Sometimes, brute force scrolling while half-asleep does find stuff… eventually. Boss got his numbers. Me? I need more coffee. These systems are held together by duct tape and wishful thinking. Impressed? Not really. Just another Tuesday.
