Choose appropriate visualizations LS_DS_122_Choose_appropriate_visualization

[invegat]

Mark Oliver

[brennerhaverlock]

Good job Mark, on #2 I noticed you've yet to complete this. Let me know if any questions arise. Keep up the good work!

[brennerhaverlock]

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:

-I like your use of the shape function and head before using crosstab:

<df.head()>

``` ```

What could be better:

- You did great here, all I can say is look into crosstab more and build!(great job turning them into percentages):

``` ```

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Part 2 — Recreate this explanatory visualization:

Code review

What went well:

• I like the use of seaborn and plt in the solution!:

<ct.columns>

• Great visualization!:
  

plt.plot(t['Government and Politics'],c='r')
plt.plot(t['Media'], c='purple')

_What could be better:_

• I'm impressed with the X and Y of your data but it could be shortented like so:

<insert 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 your use of colors and great visualation!:

<plt.barh(f10.index, f10.values,color=['black', 'red', 'green', 'blue', 'cyan', 'purple', 'orange', 'grey', 'magenta', 'yellow'  ])
>

- Great job taking the top 10 in one line: ``` ```

_What could be better:_

• Overall great job! this could be a one liner though!

<df.Guest.value_counts().head(10).plot.bar();>