r/LearnDataAnalytics

I built Brilly a website app to help me learning Data Analysis with a live Chat tutor who sees my code and give me recommendations and Tips to follow and also evaluating my code - find errors and more.

I’m currently learning EDA properly and I’ve finished basic univariate analysis on a recommendation/e-commerce style dataset.

Now I’m moving into pairwise analysis (scatter plots, grouped summaries, correlations) and I’m confused about the strategy part.

How do you decide WHICH variable pairs are worth exploring?

Do experienced analysts:

• systematically check almost every relationship first?
• or only explore relationships that seem meaningful from business intuition / earlier EDA? And How do you even decide what is meaningful?

I can think of many combinations, but I’m not sure whether good EDA is:

1. broad exploration of everything
2. or following a few promising signals deeply

Would love to hear how more experienced people approach this in real projects.

I have attached my EDA github link below just incase if anybody wants to check that out and then answer this question

Github Link: https://github.com/Atharva22052006/Amazon_recommondation_engine