Database System Concepts
Database System Concepts
7th Edition
ISBN: 9780078022159
Author: Abraham Silberschatz Professor, Henry F. Korth, S. Sudarshan
Publisher: McGraw-Hill Education
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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 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 LOAN
MORTDUE
VALUE
YOJ
CLAGE
CLNO
67495.958333
82529.125000
8.500000
144.749455
16.583333
33.052122
DEBTINC
dtype: float 64
Means for hmeqReplace are LOAN
MORTDUE
49386.494253
VALUE
64033.483871
YOJ
CLAGE
CLNO
8.179775
140.209320
15.586957
30.947152
DEBTINC
dtype: float 64
3208.333333
3045.918367
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Transcribed Image Text: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 LOAN MORTDUE VALUE YOJ CLAGE CLNO 67495.958333 82529.125000 8.500000 144.749455 16.583333 33.052122 DEBTINC dtype: float 64 Means for hmeqReplace are LOAN MORTDUE 49386.494253 VALUE 64033.483871 YOJ CLAGE CLNO 8.179775 140.209320 15.586957 30.947152 DEBTINC dtype: float 64 3208.333333 3045.918367
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