Hey there, fellow data enthusiasts! I’m a total newbie who’s about to dive into the world of data analysis, and I’m confused about which tool to use – pandas or SQL. I’ve got a solid grip on SQL querying, but I just started learning pandas and it’s got me stumped. The syntax and querying methods in pandas seem way more complicated than SQL. Should I just stick to using pandas for data cleaning and manipulation, and SQL for data extraction since I’m comfortable with it? But what about data visualization? Should I use pandas for that too, or is there a better tool out there?
As a data analyst, it’s essential to have the right tools in your arsenal. SQL is great for extracting data, but pandas offers a lot more flexibility when it comes to data manipulation and analysis. But, pandas can be overwhelming, especially for a beginner like me. I’m torn between sticking to what I know (SQL) and venturing into the unknown (pandas).
So, I’d love to hear from you guys – how do you approach data analysis? Do you use pandas, SQL, or a combination of both? What are your go-to tools for data visualization?