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Instructions: ? import seaborn ? import pandas ? Requirement 1: ? Export a boxplot that will display a boxplot for every neighbourhood group’s price for listings where the prices are below 400. Make...

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Instructions: ? import seaborn ? import pandas ? Requirement 1: ? Export a boxplot that will display a boxplot for every neighbourhood group’s price for listings where the prices are below 400. Make sure that every room type also gets its own boxplot for each neighborhood group. Save this boxplot as “boxplot1.png” on your current working directory. ¦ What information can you gather from this box plot? ? Requirement 2: ? A couple of the hosts seem to be creating multiple listings. We may need to identify who these hosts are to make sure that they are using the Airbnb platform appropriately. ? Identify the 2 host id’s with the highest count of listings. There are plenty of ways to do this, however, you may find it easiest to group the dataframe by the host id and summarize the groupings by using the count() method. This gives you the count of instances of the host_id. Then you can sort the data frame based on the count to identify the two highest manually. ? Create 2 separate data frames, containing listings pertaining to the two user ids with the highest amount of listings. ? For each data frame export a boxplot for the prices of the user’s listings. Make sure to separate out the boxplots for each minimum stay amount. Make sure that every room type also gets its own boxplot for each minimum stay. Save these boxplots as “boxplot2.png” and “boxplot2.png” on your current working directory. ¦ What information can you gather from these plots? ? Explore the two users, after a quick google search, what can you tell me about who those two users are?
Answered 147 days After Nov 23, 2021

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Sathishkumar answered on Apr 19 2022
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