Python pandas—Visualization Exercises—Chipotle

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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:
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8:39 Hey, swap x and y and set orient='h'..I guess it will work

deepakmoonat
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to rotate the xtick labels:

g = sns.barplot(...
g.set_xticklabels(g.get_xticklabels(), rotation=30)

rashmimahadevaiah
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Hey! That is even easier, forget about rotate the plot and just swich x for y:

sns.barplot(x='quantity', y='item_name', data=top5.reset_index())

yoferchi
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Things I learned from this lecture:
sns.barplot(y='b', x='a', orient="h", data = df)

arhataria
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Really digging the 'off the cuff' walkthroughs. It's nice being able to go through these datasets solo first, and then watch you going through them and hit a lot of the same curve balls. :) Seeing the thought process of others is really beneficial. Like watching Twitch for Data Science.

Thanks for putting these together.

jamesfulda
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It's a great idea to do this ad-lib. I always wonder how something's done by others. Thanks!

timurdothamzin
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Really, Appreciate your Work..Your Concept of Learn By Doing Helping me a lot..Hope To See more Tutorial in Future..Thank you

kirandeepmarala
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I like the adlib process. I think it's great. thanks again!

rhard
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thanks for sharing!.. nice to see your thought process while coding through this notebook!

baldeaguirre
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Here i am sitting at the office watching you work that data instead of working my own :D

icanfast