<jupyter_start><jupyter_text>Some data analysis on two person tentsReddit user [AffirmativeTrucker](https://www.reddit.com/user/AffirmativeTrucker) [posted a nice spreadsheet](https://www.reddit.com/r/CampingGear/comments/5rcohh/a_spreadsheet_of_most_two_person_suitable_tents/) of some data on two person tents. I thought perhaps I would plot some regressions instead of going to sleep like a grownup.<jupyter_code>%pylab inline
import pandas
import seaborn
df = pandas.DataFrame.from_csv( 'tents.csv', index_col=2 )
df.head()<jupyter_output><empty_output><jupyter_text>Packed weight vs. Price<jupyter_code>seaborn.lmplot( x='Packed Weight (oz)', y='Price', data=df, size=6)<jupyter_output><empty_output><jupyter_text>Floor area vs. Price<jupyter_code>seaborn.lmplot( x='Floor Area (sq ft)', y='Price', data=df, size=6)<jupyter_output><empty_output><jupyter_text>Floor area vs. Packed weight<jupyter_code>seaborn.lmplot( x='Floor Area (sq ft)', y='Packed Weight (oz)', data=df, size=6)<jupyter_output><empty_output>
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