I am doing the Exploratory data analysis course in Udacity®. I am applying the methods learnt in the course on various data sets(like bike sharing, Crime classification datasets in Kaggle). Being a beginner I am more or less running in the blind making combinations of plots without really inferencing anything. What are the basic things we look for when we make plots? As far as my understanding right now I look for:
- Outliers(what to do with outliers after finding them?)
- Settling for a bin size(to reduce noise)
What else should I keep in mind when studying plots?
Please provide me with examples where you were able to create new features by looking at plots.