How do I interpret visualizations in exploratory data analysis?

How do I interpret visualizations in exploratory data analysis?

Interpreting visualizations in EDA involves understanding the patterns, trends, and anomalies in your data. What specific visualization are you looking at?

I'm looking at a scatter plot showing the relationship between age and income.

In a scatter plot, you can look for correlations. If the points trend upwards, it suggests that as age increases, income might also increase. Are there any outliers?

Yes, there are a few points that are far away from the main cluster.

Those outliers could indicate unusual cases or errors in data collection. It's important to investigate them further. Would you like to know how to handle outliers?

Yes, what should I do with them?

You can either remove them, if they're errors, or analyze them separately to see if they reveal interesting insights. It depends on your analysis goals.