A B D E F G H K 1 MEDV 10 14 15 16 12345678901234557 ZN INDUS CHAS NOX RM AGE DIS RAD PTRATIO CRIM TAX 22.9 40 1.25 No 0.42 6.49 44.4 8.79 1.2 19.7 0.06 335 24.1 60 1.69 No 0.41 6.57 35.9 10.7 4.3 18.6 60 1.69 No 0.41 5.88 18.5 10.7 4.5 35 18.3 0.07 411 18.3 0.07 411 30.1 90 2.02 No 0.41 6.72 12.1 5.5 17 0.01 187 18.2 80 1.91 No 0.41 5.66 21.9 10.5 4.2 22 0.04 334 20.6 80 1.91 No 0.41 19.5 10.5 4.3 22 0.1 334 17.8 0 18.1 Yes 0.77 6.21 97.4 2.12 24.5 20.2 8.98 666 21.7 0 18.1 Yes 0.77 6.39 91 2.5 24.6 20.2 3.84 666 22.7 0 ? Yes 0.77 6.12 83.4 2.72 24.7 20.2 5.2 666 11 22.6 0 18.1 No 0.77 0 81.3 2.5 24.4 20.2 4.26 666 12 19.9 0 18.1 No 0.77 6.25 91.1 2.29 24.3 3.83 666 13 20.8 0 18.1 No 0.77 5.36 96.2 2.1 24.1 20.2 3.67 666 16.8 Yes 7.12 1.8 21.9 17 21.9 ooo 0 18.1 Yes 0.71 8.78 82.9 1.9 24.3 20.2 3.47 666 0 18.1 No 0.71 3.56 87.9 1.61 24.4 20.2 4.55 666 0 18.1 No 0.71 4.96 91.4 1.75 24.1 20.2 3.69 666
A B D E F G H K 1 MEDV 10 14 15 16 12345678901234557 ZN INDUS CHAS NOX RM AGE DIS RAD PTRATIO CRIM TAX 22.9 40 1.25 No 0.42 6.49 44.4 8.79 1.2 19.7 0.06 335 24.1 60 1.69 No 0.41 6.57 35.9 10.7 4.3 18.6 60 1.69 No 0.41 5.88 18.5 10.7 4.5 35 18.3 0.07 411 18.3 0.07 411 30.1 90 2.02 No 0.41 6.72 12.1 5.5 17 0.01 187 18.2 80 1.91 No 0.41 5.66 21.9 10.5 4.2 22 0.04 334 20.6 80 1.91 No 0.41 19.5 10.5 4.3 22 0.1 334 17.8 0 18.1 Yes 0.77 6.21 97.4 2.12 24.5 20.2 8.98 666 21.7 0 18.1 Yes 0.77 6.39 91 2.5 24.6 20.2 3.84 666 22.7 0 ? Yes 0.77 6.12 83.4 2.72 24.7 20.2 5.2 666 11 22.6 0 18.1 No 0.77 0 81.3 2.5 24.4 20.2 4.26 666 12 19.9 0 18.1 No 0.77 6.25 91.1 2.29 24.3 3.83 666 13 20.8 0 18.1 No 0.77 5.36 96.2 2.1 24.1 20.2 3.67 666 16.8 Yes 7.12 1.8 21.9 17 21.9 ooo 0 18.1 Yes 0.71 8.78 82.9 1.9 24.3 20.2 3.47 666 0 18.1 No 0.71 3.56 87.9 1.61 24.4 20.2 4.55 666 0 18.1 No 0.71 4.96 91.4 1.75 24.1 20.2 3.69 666
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
Related questions
Question
(Short-answer) b. Continue from the previous question. Suppose part of the data you extracted from the data warehouse is the following. Identify the missing values you think exist in the dataset. Use Column letter and Row number to refer to each missing value in the dataset. Please write down how you want to address each particular missing value (you can group them if they receive same treatment). For imputation, you do not need to calculate the exact imputed values but just describe what kind of value you want to use to impute.
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