Carlos Gutierrez - DS-Sprint02

[carlos-gutier]

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[waterFlowin]

Sprint Challenge Code Review

Week 2 - Storytelling with Data

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Part 0 — Run this starter code

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Part 1 — What's the breakdown of guests’ occupations per year?

Code review

What went well:

• Perfect:

ct = pd.crosstab(df.Year, df.Occupation, normalize='index')
ct = ct*100
ct

What could be better:

• Nothing. Reminder to start building the habit to add clean/clear comments that explain your lines of code:

# Useful words about the line of code below
ct = pd.crosstab(df.Year, df.Occupation, normalize='index')
#  This line does x, y, z
ct = ct*100
# Some result title
ct

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Part 2 — Recreate this explanatory visualization:

Code review

What went well:

• Perfect:

ct = ct.drop(columns=['Other'])

Alternate, shorter option for Seaborn plot:

import seaborn as sns
assert sns.__version__ == '0.9.0'

sns.relplot(data=ct, kind='line')
plt.text(x=1998, y=1.1, s="Who Got To Be On 'The Daily Show'?", fontweight='bold')
plt.text(x=1998, y=1.0, s='Occupation of guests, by year')

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Part 3 — Who were the top 10 guests on The Daily Show?

Code review

What went well:

• I like that you did a barh plot here. Helps with readability when names are horizontal. I don't know why its not readable on github. Colab compatibility issues maybe:

df.Guest.value_counts().head(10).plot(kind='barh')