We often think that figuring out the analysis method is the toughest challenge, but in reality, the real goal lies in reframing your results.

In these next few days, I'll be learning how to do web scrapping. Asking chatgpt, this is what it suggests:

1. Understanding HTML and CSS
2. Python basics
3. Retrieve HTML content
4. Practice on simple webpages
5. Analyse with Pandas!
6. Rinse and repeat! (deliberate practice)

There's an issue with importing the table in SQL where data is generated every hour x 200 rows each time.

And it doesn't end there. I'm also required to trace the lineage of how (and why) the data was inserted into the DB.

Honestly, I could see this coming.

What the heck, I only opened one tab but it's taking alot of RAM space. What gives?

Wait hold on DAX query view lesap ke?

I won't lie, but it's becoming increasingly frustrating to explain insights when there's a trust deficit in the data used for day-to-day business processes.

Whatever narratives you can come up with, they won't hold any water if they keep questioning the legitimacy of the data 😭

Thinking of doing something special for this holy month of Ramadhan. Inshallah 🙏

Suddenly, my past data changed values. When I checked the pre-loaded, I found out that all values were rounded to zero decimal places.

I suspect this may be related to archiving past data. 😪

That's so sad to hear 🥲

I often rely on Stack Overflow because answers are meticulously crafted, and I can relate (or adapt) my thinking model.