Peyton Runyan DS01

[peytonrunyan]

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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, just need a space after the comma before df['Occupation']

pd.crosstab(df['Year'],df['Occupation'], normalize='index')

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Part 2 — Recreate this explanatory visualization:

Code review

What went well:

• I like that you did the graph a different way:

Here is a cleaner and more simple code block:

• You can get the same graph in Matplotlib with:

cross_tab = pd.crosstab(df['Year'],df['Occupation'], normalize='index')
cross_tab = cross_tab.drop('Other', axis=1)
plt.plot(cross_tab['Acting, Comedy & Music'])
plt.plot(cross_tab['Government and Politics'])
plt.plot(cross_tab['Media'])

• Then just simply add the text parts of the graph:

plt.legend(cross_tab.columns)
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:

• This is correct and well done:

#count the times each guest has appeared
appearances = df.Guest.value_counts()

#return the 10 largest
top_ten = appearances.nlargest(10)

top_ten.plot.bar();

One simple small improvement is to add the rot parameter for readability:

top_ten.plot.bar(rot=45);

One liner Method Chain that does the same bar plot:

df.Guest.value_counts().head(10).plot.bar()