Load the data set hmeq_small.csv as a data frame.Create a new data frame with all the rows with missing data deleted.Create a second data frame with all missing data filled in with the mean value of the column.Find the means of the columns for both new data frames.Ex: Using only the first hundred rows, found in hmeq_sample.csv, the output is:Means for hmeqDelete are LOANMORTDUEVALUEYOJCLAGECLNO67495.95833382529.1250008.500000144.74945516.58333333.052122DEBTINCdtype: float 64Means for hmeqReplace are LOANMORTDUE49386.494253VALUE64033.483871YOJCLAGECLNO8.179775140.20932015.58695730.947152DEBTINCdtype: float 643208.3333333045.918367

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• Load the data set hmeq_small.csv as a data frame. • Create a new data frame with all the rows with missing data deleted. • Create a second data frame with all missing data filled in with the mean value of the • Find the means of the columns for both new data frames. Ex: Using only the first hundred rows, found in hmeq_sample.csv, the output is: Means for hmeaDelete are LOAN 3208 333333

• Load the data set hmeq_small.csv as a data frame. • Create a new data frame with all the rows with missing data deleted. • Create a second data frame with all missing data filled in with the mean value of the • Find the means of the columns for both new data frames. Ex: Using only the first hundred rows, found in hmeq_sample.csv, the output is: Means for hmeaDelete are LOAN 3208 333333

Database System Concepts

7th Edition

ISBN:9780078022159

Author:Abraham Silberschatz Professor, Henry F. Korth, S. Sudarshan

Publisher:Abraham Silberschatz Professor, Henry F. Korth, S. Sudarshan

Chapter1: Introduction

Section: Chapter Questions

Problem 1PE

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