For one of my projects, I was stuck (and confused) with which combination methods to use to combine my dataframes. Granted that I am not superb at coding, and my brain can be foggy after 8 hours of data cleaning. Hence, I put this quick guide together to remind myself (& hopefully bring newbies some valuable info) on the differences between merge() / .join() / concat() / .append(). So, here we go:
A major part of my first data project was making sure that the messy data that I got was properly cleaned. I had 5 days of time to do this project, and I spent 4 days of cleaning it. They weren’t kidding when they said data scientists spend 60-80% of their time on cleaning and organizing data. That’s why many blog posts (such as this one) called ourselves data janitors.
I haven’t felt this inspired since my last trip (or last tour). Being ordinary can be pretty daunting to me, but I think I’m managing it ok. This is the first time I got to show someone around since Dec 31, 2019. I spent the majority of my 20s trying to show people around, but now I’m trying to focus on doing photography the best I can in the next decade.
These are my photography gear that I used for photography. You’d be surprised that most of my work showcasing on my website were taken by an intermediate-beginner camera, Nikon D5500 and a $200 DX lens.