Data Exploration: Identifying Data Issues and Their Potential Causes

[@Thiesi]

Great to see you're back. Very interesting series so far - I have learnt a lot from you. Thanks a bunch!

[@GregThatcher]

Thanks!

[@misraturp]

Thank you Greg!

[@no-name168]

fell in love with this channel. very good atmosphere

[@rishidixit7939]

For checking the cutoff value for total amount we can use np.percentile(). It is a nice option quickly find a cutoff value.

[@imanasdash]

Explained Amazing !!!

[@Raghavan2583]

Ma'am, could you please elaborate on your preference for utilising a histogram? Are histograms the primary visualisation method required for data exploration, or are there alternative plots we should consider?

[@ramga323]

Are there any variables that show unexpected distributions or patterns that could suggest data issues?