The csv file "house price.csv contains the basic Information about houses. Rerad the data from the csy file "house price.csv", and create a dataframe object. Plot the histogram chart and the density chart of the distribution of bedrooms (i.e. the column "bedrooms"). Plot the scatter chart of the relationship between the column "sqft Jiving" and the column "price". Pict the bar chart of the average selling price (Le. the column "price") of houses in different cities (Le. the calumn "city") and also compute the standard deviation. Plat the box chart of the selling price (ie. the column "price" )of houses in different cities (ie. the column "city"). In [2]: Import pandas as pd import matplotlib.pyplot as pit import seaborn as sns in [9]: #1 Read the data iffile ruth pathhouse price csv in [14] df = pd. read rsv ( path) df Out [14]: \table[[] date price,bedrooms, bathrooms.sqft_living,sqft lot, floors, waterfront, view,condition,sqft_above, sqft basement.yr_built yr_renovated], [0, \table][2014

The csv file "house price.csv contains the basic Information about houses. Rerad the data from the csy file "house price.csv", and create a dataframe object. Plot the histogram chart and the density chart of the distribution of bedrooms (i.e. the column "bedrooms"). Plot the scatter chart of the relationship between the column "sqft Jiving" and the column "price". Pict the bar chart of the average selling price (Le. the column "price") of houses in different cities (Le. the calumn "city") and also compute the standard deviation. Plat the box chart of the selling price (ie. the column "price" )of houses in different cities (ie. the column "city"). In [2]: Import pandas as pd import matplotlib.pyplot as pit import seaborn as sns in [9]: #1 Read the data iffile ruth pathhouse price csv in [14] df = pd. read rsv ( path) df Out [14]: \table[[] date price,bedrooms, bathrooms.sqft_living,sqft lot, floors, waterfront, view,condition,sqft_above, sqft basement.yr_built yr_renovated], [0, \table][2014

Np Ms Office 365/Excel 2016 I Ntermed

1st Edition

ISBN:9781337508841

Author:Carey

Publisher:Carey

Chapter2: Formatting Workbook Text And Data

Section: Chapter Questions

Problem 1.13CP

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