Python pandas—Visualization Exercises—Tips

Sometimes we learn best by doing. Unlike my other videos, I’ll be going through these exercises cold. Sometimes we’ll encounter ambiguous questions, and sometimes I'll be wrong. Learning from our mistakes can be a powerful teacher. So, it’s OK to be wrong now, because we’ll know how to avoid it next time when it counts. My hope is that you will learn by doing.

Why don’t you proceed through the linked exercises before we walk through them together?

This series can be viewed in tandem with my “An Opinionated Guide to pandas” video series (links below), but it’s not required. This series is beginner-friendly but aimed most directly at intermediate users.

This Learning by Doing is part of the pandas Opinionated Guide series:

The jupyter notebooks can be found here:

guipsamora’s exercises can be found here:

[arhataria]

Took 40 mins!
Things I learned from this lecture:
sns.scatterplot(df['a'], df['b'], size = df['c'])
sns.boxplot(df['a'], df['b'], hue=df['c'])
sns.swarmplot(y = df['b'], x = df['a'], hue=df['c'])
sns.FacetGrid(df, col='a').map(sns.scatterplot, x= 'b', y = 'c', hue='d')

[vishalyadav-mrtx]

From where I can get the dataset of all the case studies that you have discussed in all the visualization videos

[SurinamElephant]

Haha i don't know if you remember me but tried to build a text classifier almost 3 years ago and was bullshitting you with questions :D
Cool that you do some data visualization stuff now :)!

[ujangsopiyan]

how to autocomplete syntax in jupyter notebook?